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A Quantum Entanglement Swapping Secret Sharing Agreement Model
Shuyue Wu
Indonesian Journal of Electrical Engineering and Computer Science Vol 4, No 2: November 2016
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v4.i2.pp406-411
A verifiable quantum secret sharing protocol model is proposed based on entanglement swapping. The dealer communicates with the participants one by one. The detection pattern or information pattern are choosed by uniform distribution, until he can make sure the information safe to the participant, and then he communicates with the next participant. This agreement not only is to avoid eavesdropping outside, and it can prevent internal fraud, thus the accuracy and security are ensured for information sharing, the verifiable results are achieved.
Random Sampling and Signal Bregman Reconstruction Based on Compressed Sensing
Guojun Qin;
Jingfang Wang
Indonesian Journal of Electrical Engineering and Computer Science Vol 4, No 2: November 2016
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v4.i2.pp365-372
Compressed sensing (CS) sampling is a sampling method which is based on the signal sparse. Much information can be extracted from as little as possible of the data by applying CS and this method is the idea of great theoretical and applied prospects. In the framework of compressed sensing theory, the sampling rate is no longer decided in the bandwidth of the signal, but it depends on the structure and content of the information in the signal. In this paper, the signal is the sparse in the Fourier transform and random sparse sampling is advanced by programing random observation matrix for peak random base. The signal is successfully restored by the use of Bregman algorithm. The signal is described in the transform space, and a theoretical framework is established with a new signal descriptions and processing. By making the case to ensure that the information loss, signal is sampled at much lower than the Nyquist sampling theorem requiring rate,but also the signal is completely restored in high probability. The random sampling has following advantages: alias-free sampling frequency need not obey the Nyquist limit and higher frequency resolution.
A Power Sharing Method for Parallel Inverters with Virtual Synchronous Generator Control Strategy
Sara Yahia Altahir Mohamed;
Xiangwu Yan
Indonesian Journal of Electrical Engineering and Computer Science Vol 4, No 2: November 2016
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v4.i2.pp317-324
A new power sharing method of a virtual sychronous generator control based inverters is introduced in this paper. Since virtual synchronous generator has virtual inertia and damping properties, it significantly enhances the grid stability. However, its output power considerably affects by the line impedance. Thus, in this paper, the relation between the droop control and the line impedance is analyzed at first. Then, by appling an improved droop control strategy to an inverter based on the virtual sychronous generator control, achieving proportional active and reactive power sharing unaffected by the line impedance is realized. The result shows that a smooth response is achieved. As well as, the voltage drop caused by the line impedance is totally compensated. As a result, the system stability is furtherly improved. At last, the effectiveness of the proposed method is verified through MATLAB/Simulink.
Music Recommendation System Based on Context Using Case-Based Reasoning and Self Organizing Map
Gst Ayu Vida Mastrika Giri;
Agus Harjoko
Indonesian Journal of Electrical Engineering and Computer Science Vol 4, No 2: November 2016
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v4.i2.pp459-464
Effective music recommendation can decrease listener’s effort in choosing music that will be listened. Music recommendation is not only can be obtained based on genre or audio similarity, because listener’s music choices are also influenced by the listener’s context (mood, occasion, part of day, date, weather, region, month, and weekday). This research used Case-Based Reasoning (CBR) for determining music recommendation based on listener’s context data and also Self Organizing Map (SOM) which is used as an indexing method in CBR. Inputs given by user to the system are user’s occasion and mood desired by user. The system output is a playlist consists of music that suitable with user’s context and desired mood.
Determination of Unknown Parameters of Photovoltaic Module Using Genetic Algorithm
I. M. Abdelqawee;
Ayman Y. Yousef;
Khaled M. Hasaneen;
H. G. Hamed;
Maged N. F. Nashed
Indonesian Journal of Electrical Engineering and Computer Science Vol 4, No 2: November 2016
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v4.i2.pp271-278
In this paper, the unknown parameters of the photovoltaic (PV) module are determined using Genetic Algorithm (GA) method. This algorithm based on minimizing the absolute difference between the maximum power obtained from module datasheet and the maximum power obtained from the mathematical model of the PV module, at different operating conditions. This method does not need to initial values, so these parameters of the PV module are easily obtained with high accuracy. To validate the proposed method, the results obtained from it are compared with the experimental results obtained from the PV module datasheet for different operating conditions. The results obtained from the proposed model are found to be very close compared to the results given in the datasheet of the PV module.
Architecture of ASIP Crypto-Processor for Dynamic Runtime Security Applications
Mahaba Saad;
Khalid Youssef;
Mohamed Tarek;
Hala Abdel-Kader
Indonesian Journal of Electrical Engineering and Computer Science Vol 4, No 2: November 2016
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v4.i2.pp412-423
Nowadays, demands of data security are increasing, especially after introduction of wireless communications to the masses. Cryptographic algorithms are mainly used to obtain confidentiality and integrity of data in communication. There are a variety of encryption algorithms have been developed. This paper provides quantitative analysis and comparison of some symmetric key cryptographic ciphers (DES, 3DES, AES, Blowfish, RC5, and RC6). The quantitative analysis approach is a step towards optimizing the security operations for an efficient next generation family of network processors with enhanced speed and power performance. A framework will be proposed as a reference model for quantitative analysis of security algorithm mathematical and logical operations. This paper also provides a dynamic crypto processor used for selected symmetric key cryptographic ciphers and provides an implementation of 16bit cryptographic processor that performs logical operations and arithmetic operations like rotate shift left, modular addition 2^16, S_box operation, and key expansion operation on spartan6 lower power, xc6slx150L-1lfgg676 FPGA. Simulation results show that developed processor working with high Speed, low power, and low delay time.
FPGA Implementation of BCG Signal Filtering Scheme by Using Weight Update Process
Manjula B.M;
Chirag Sharma
Indonesian Journal of Electrical Engineering and Computer Science Vol 4, No 2: November 2016
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v4.i2.pp373-382
A well-prepared abstract enables the reader to identify the basic content of a document quickly and accurately, to determine its relevance to their interests, and thus to decide whether to read the document in its entirety. The Abstract should be informative and completely self-explanatory, provide a clear statement of the problem, the proposed approach or solution, and point out major findings and conclusions. The Abstract should be 100 to 200 words in length. The abstract should be written in the past tense. Standard nomenclature should be used and abbreviations should be avoided. No literature should be cited. The keyword list provides the opportunity to add keywords, used by the indexing and abstracting services, in addition to those already present in the title. Judicious use of keywords may increase the ease with which interested parties can locate our article
Total Harmonic Distortion at Fault in RLC Load
Pankaj Aswal;
Suyash Kumar Singh;
Niharika Agarwal;
Vivek Sharma;
Gayatri Sharma
Indonesian Journal of Electrical Engineering and Computer Science Vol 4, No 2: November 2016
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v4.i2.pp325-332
This paper focuses on the calculation of total harmonic distortion (THD) at various fault situations in case of RLC load. The faults are created by introducing heavy impedance of 1000 ohm, by blowing off the gate pulse at one of the terminals of the mosfet, and by introducing a line to ground fault. The Matlab based simulation has been done to show these effects.
Clustering Techniques for Software Engineering
Shohag Barman;
Hira Lal Gope;
M M Manjurul Islam;
Md Mehedi Hasan;
Umme Salma
Indonesian Journal of Electrical Engineering and Computer Science Vol 4, No 2: November 2016
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v4.i2.pp465-472
Software industries face a common problem which is the maintenance cost of industrial software systems. There are lots of reasons behind this problem. One of the possible reasons is the high maintenance cost due to lack of knowledge about understanding the software systems that are too large, and complex. Software clustering is an efficient technique to deal with such kind of problems that arise from the sheer size and complexity of large software systems. Day by day the size and complexity of industrial software systems are rapidly increasing. So, it will be a challenging task for managing software systems. Software clustering can be very helpful to understand the larger software system, decompose them into smaller and easy to maintenance. In this paper, we want to give research direction in the area of software clustering in order to develop efficient clustering techniques for software engineering. Besides, we want to describe the most recent clustering techniques and their strength as well as weakness. In addition, we propose genetic algorithm based software modularization clustering method. The result section demonstrated that proposed method can effectively produce good module structure and it outperforms the state of the art methods.
Design the Balance of System of Photovoltaic for Low Load Application
Y.M. Irwan;
Z. Syafiqah;
A.R. Amelia;
M. Irwanto;
W.Z. Leow;
S. Ibrahim
Indonesian Journal of Electrical Engineering and Computer Science Vol 4, No 2: November 2016
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v4.i2.pp279-285
This paper presents an alternative method to reduce the monthly electricity bill at Centre of Excellence for Renewable Energy (CERE) which is by installing a stand-alone photovoltaic (PV) system. In the stand-alone PV system, apart from the PV module and loads, other components in the system such as battery, charge controller, inverter and protection device are categorized under Balance of System (BOS) component. In order for the loads to receive adequate energy to operate, the overall system must be sized through calculations due to find the optimum combination. This sizing will determine the amount of each component that needed in the system. The hardware is setup in front of CERE building which located at Kangar, Perlis, Malaysia. As the results from the calculation, the system required 6 units of PV module, 5 units of battery and a 0.23 kW inverter. The cable and protection devices are from the calculation. The entire system was successfully installed and was able to support the load demand.