Indonesian Journal of Electrical Engineering and Informatics (IJEEI)
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Overcoming Photo Degredation in Dye Sensitized Solar Cell
Get PDFDye sensitized solar cell (DSSC) is a thin film solar cell which has prospect for solving the fast growing global energy demand. It uses basically titanium dioxide TiO2, organic dye and electrolyte. The availability of these materials and their low cost makes DSSC the cheapest solar cell in the world. Although efforts are being made to improve efficiency but the short life span remain a major challenge. Improving this short life span is what this study is responding to. A known method of preparation was examined and modified for better DSSC performance. Two new approaches were introduced to the process of DSSC fabrication: the introduction of a mordant and sealing the edges. The organic pigment used for light harvesting was Teak dye. The results of the conventional method and the modified method were obtained and compared. The results of the newly developed method show a very wide improvement in the DSSC life span, and even some improvement in the efficiency. The active period of the cell increase to 60 days while the one made with the conventional approach degraded after four hours. Through these modifications, a new procedure for producing DSSC has been developed which will solve the problem of short active period in dye sensitized solar cell
Effect Of Solar Radiation On Module Photovoltaics 100 Wp With Variation of Module Slope Angle
Get PDFSolar photovoltaic generation system is a very promising type of renewable energy, particularly when it is implemented in the tropical country like Indonesia where it receives a huge amount of sunshine. Solar photovoltaic generation system can be utilised to supply power for different types of consumer, namely utility grids, industrials as well as household. This article discusses the effect solar radiation to the photovoltaic module with different slope angles namely; 300, 400 and 500 respectively. It was used a 100 Wp solar module in the research. It is not only the slope angle of module analysed in this article but also the weather condition such as: sunny or cloudy conditions. The performances of solar photovoltaic at temperature ranging from 280C to 500C are analysed significantly. The results showed that the above conditions affected the voltage generated by solar photovoltaic system. Finally, the results of this test will be compared with the simulation results of photovoltaic system modeling using Matlab/Simulink
Deep Neural Network for Heart Disease Medical Prescription Expert System
Get PDFOne of the most common causes of death is Ischaemic heart disease (IHD). Clinical decisions are often made based on doctors’ intuition and experience rather than on the knowledge-rich data hidden in the database, which leads to unwanted errors and excessive medical costs that affects the quality of service provided to patients. On the other hand, there is lack of cardiologist and IHD specialist in developing countries. Therefore, the development of an expert system that improves the diagnostic and therapeutic decision model of IHD creates a universal need. The expert system is developed based on the cardiologist expertises in diagnosing IHD symtomps and the given prescriptions. This work attempts to increase the accuracy and the effectiveness of the expert system to treat IHD patient by leveraging deep neural networks and adopting deep learning strategy for Retristic Boltzman Machine (RBM). The deep neural network in this work has 152 neurons in the input layer, 52 neurons in the output layer, and 4 hidden layer. Experimental results show that the proposed system achieves up to 0.00974 error level in the training sessions and average improvement of 0.7322% in term of accuracy compared to expert system with standard machine learning in the testing phase. Some results that have discrepancies are consulted to the cardiologist to confirm the results
E-Learning Success Model: An Extention of DeLone & McLean IS' Success Model
Get PDFLearning by using e-learning system at this time become an important part of university to carrying out the education. Learning by e-learning system is very supportive to conventional learning, so it is necessary to measure the success of e-learning implementation. In this article, the research model was developed by integrating. DeLone& McLean IS concept of success model and adoption model of e-learning success. The variables that used in this research is technical system quality, service quality, content and information quality, use, user perceived satisfaction, and individual impact. Data collection is by conducting surveys to e-learning users which is lecturers and students. To test the model that has been developed, conducted a survey on UPN "Veteran" Jakarta with the total number of respondents as many as 180 respondents and obtained 157 respondents who fill the questionnaire correctly. This research, shows both the use and satisfaction of e-learning system have an impact for individual performance. This research also found that educational system quality and technical quality are the main factors that encourage user satisfaction with e-learning system, while the use of e-learning system that influenced by content & information quality, also user perceived satisfaction for e-learning system
Blind Signal Separation Algorithm for Acoustic Echo Cancellation
Get PDFThis paper is to the blind signal separation algorithm applied to acoustic echo cancellation. This algorithm doesn’t degrade the performance of echo cancellation even in the double-talk. In the closed echo environment, the mixing model of acoustic signals has multi-channel, so the convolutive blind signal separation method is applied. And the mixing coefficients are computed by using the feedback model without directly calculating the separation coefficients. The coefficient updating is performed by iterative computations based on the second-order statistical properties, thus estimating the near-end speech. Many simulations have been performed to verify the performance of the proposed blind signal separation. Simulation results show that the proposed acoustic echo canceller operates safely regardless of double-talk, and the PESQ is improved by 0.6 point compared with the general adaptive FIR filter structure
Adaptive Fuzzy Control of Puma Robot Manipulator in Task Space with Unknown Dynamic and Uncertain Kinematic
Get PDFA In this paper, an adaptive direct fuzzy control system is presented to control the robot manipulator in task space. It is assumed that robot system has unknown dynamic and uncertain kinematic. The control system and adaption mechanism are firstly designed for joint space tracking. Then by using inverse Jacobian strategy, it is generalized for task space. After that, to overcome the problem of Jacobian matrix uncertainty, an improved adaptive control system is designed. All the design steps are illustrated by simulations
Scalable and Secure Dynamic Key Management and Channel Aware Routing in Mobile Adhoc Networks
Get PDFA MANET (Mobile Ad-hoc Network) is an infrastructure-less self configuring wireless networks of routers. Key management is at the center of providing network security via cryptographic mechanisms with a high-availability feature. Dynamic key is the efficient assistance for network scalability. Routing protocol used here is a form of reactive routing called CA-AOMDV and compared with Table driven routing called DSDV. Channel aware routing protocol quality of the channel which can be measured in terms of suitable metrics. This paper leads to an emphasis on Black hole attack and to develop a dynamic key framework using RSA algorithm
Design Analysis and Development of Inverter Topologies for Industries
Get PDFThis paper presents the most common inverter topologies and its design, analysis and development schemes. The main objective is to design and compare the three topologies of multilevel inverter for industries. These three topologies are mostly effectively and efficiently for quality improvement of the output voltage waveform of inverter. Photovoltaic (PV) and wind power generation (WPG) i.e. the renewable energy systems are playing a vital role in energy production. But, solar photovoltaic power (PV) has the prospective to develop one of the foremost suppliers to the future electricity supply. Therefore, Low voltage solar PV systems need a high voltage expansion converter for units of grid connection with multilevel inverter. The multilevel inverter topologies are being used in applications of medium and high power such as an active power filter, FACTS devices and a machine current due to their various merits in terms of power supplies low power dissipation, low harmonic distortion in voltage output waveform. Therefore, the simulation of multilevel inverter topologies is done and finalized that cascade multilevel inverter topology is more suitable as compared to other two by using MATLAB/SIMULINK
The Impact of HVDC Links on Transmission System Collapse
Get PDFModern power systems are continually being expanded, are required to carry more power and are being increasingly interconnected. All of these increase the risk of wide area blackout.In 2003 the North America Blackout demonstrated that a HVDC link provides a ‘firewall’ against the system collapse propagating through a network. The HVDC link between Quebec and New York ensured that the system collapse did not progress beyond the HVDC interconnection interface. The objectives of this paper are to investigate contributions that integrate HVDC interconnections into AC networks. The simulation studies were performed using MATLAB
Malayalam Handwritten Character Recognition Using AlexNet Based Architecture
Get PDFThis research article proposes a new handwritten Malayalam character recognition model based on AlexNet based architecture. The Malayalam language consists of a variety of characters having similar features, thus, differentiating characters is a challenging task. A lot of handcrafted feature extraction methods have been used for the classification of Malayalam characters. Convolutional Neural Networks (CNN) is one of the popular methods used in image and language recognition. AlexNet based CNN is proposed for feature extraction of basic and compound Malayalam characters. Furthermore, Support Vector Machine (SVM) is used for classification of the Malayalam characters. The 44 primary and 36 compound Malayalam characters are recognised with better accuracy and achieved minimal time consumption using this model. A dataset consisting of about 180,000 characters is used for training and testing purposes. This proposed model produces an efficiency of 98% with the dataset. Further, a dataset for Malayalam characters is developed in this research work and shared on Interne