10 research outputs found

    ENKRIPTOR-DEKRIPTOR ISI E-MAIL BERBASIS ANDROID DENGAN ALGORITMA BLOWFISH

    Get PDF
    Perkembangan teknologi informasi yang pesat diiringi oleh perkembangan dalam hal keamanan data.  Terutama informasi atau  hal-hal  rahasia yang  orang  lain  tidak  boleh  mengetahui. Salah  satu teknologi yang terus semakin berkembang adalah Email dan munculnya platform baru yang bernama Android yang digunakan pada smartphone. Email merupakan salah satu cara untuk bertukar informasi antara satu orang dengan yang lain. Kejahatan teknologi informasi terus berkembang dan dengan berbagai macam model kejahatan, sebagai contohnya adalah Sniffing. Algoritma Blowfish merupakan salah satu algoritma algoritma block cipher 64-bit block yang cukup aman untuk mengamankan data di dalam sebuah program, tidak dipatenkan,   mempunyai ruang kunci yang besar dan panjangnya bermacam- macam dari 32 bits sampai 448 bits serta cukup kuat keamanannya, sehingga pada bagian kuncinya tidak mudah diserang oleh pihak lain. Metode pendekatan sistem yang digunakan dalam pembangunan aplikasi adalah Extreme Programming (XP) untuk menerapkan fungsi dari Enkripsi dan Dekripsi dalam versi aplikasi berbasis Android. Hasil penelitian berupa aplikasi berbasis Android yang dapat mengenkripsi sebagian  atau  semua  isi  E-mail  yang  dikirim  dan  dapat  mendeskripsi kembali  seperti  text  semula menggunakan algoritma Blowfish dengan kunci tertentu

    A comparative study of conventional PID and intelligent Fuzzy-PID FordDC motor speed control

    Get PDF
    The development of a Self Tuning Fuzzy proportional-integral-derivative (PID) controller was done to be compared with the conventional controller that is being used in a direct current (DC) motor. Simulation study is used to overcome the appearance of nonlinearities and uncertainties in the system with the proposed controller for the armature voltage controlled DC motors. Each parameter of the Fuzzy-PID controller is self tuned using 49 fuzzy rules in the fuzzy logic controller. The proportional, integral and derivative (KP,KI,KD) gains of the PID controller is being tuned by the controller. Different types of membership functions are evaluated in the fuzzy control and the best performance will be used in Fuzzy-PID for comparative analysis with the conventional PID.The FIS editor from MATLAB defines the membership function and the rules. Load disturbances from a variety of speed response and the step response are simulated from different scenarios.The Fuzzy PID has resulted to be more robust and it is insensitive to variations in the parameter

    Development of Single Phase FEFSM and its Excitation Circuit for Evaluating the Control Algorithm

    Get PDF
    Popularity of Field Excitation Flux Switching Motors (FEFSMs) has been significantly increased in modern high-speed applications due to their features such as variable flux control and the rotor structure which is free from any magnet and windings. However, most of the FEFSM structure is comprising of overlapped windings between the armature and field teeth which ends up in taking more space, more copper losses and increasing material costs as well. This paper emphasis on a particular structure of single phase FEFSM having a segmented rotor and non-overlapped stator windings. This structure offered more efficiency and eliminated all the drawbacks mentioned above of having overlapped windings. Design of this new topology and its characteristics such as speed, torque, and power has been analyzed through a 2D Finite Element Analysis (FEA) using JMAG Designer. The proposed FEFSM shows drastic improvements in terms of flux production, torque and power performances in contrast with FEFSM with salient rotor structure. Furthermore, a very efficient control strategy is proposed for this new FSM topology. Since existing technics require high-end DSPs and expensive sensors, however, the proposed strategy can be implemented in any 8-bit microcontroller and only need Infrared transceiver sensor, which is more appropriate for developing a low-cost drive for house hold applications

    Voltage Tracking of a DC-DC Flyback Converter Using Neural Network Control

    Get PDF
    This paper proposes a neural network control voltage tracking scheme of a DC-DC Flyback converter. In this technique, a back propagation learning algorithm is employed. The controller is designed to improve performance of the Flyback converter during transient and steady state operations. Furthermore, to investigate the effectiveness of the proposed controller, some operations such as starting-up and reference voltage variations are verified. The numerical simulation results show that the proposed controller has a better performance compare to the conventional PI-Controller method

    Voltage tracking of bridgeless PFC cuk converter using PI controller

    Get PDF
    This paper proposes a Proportional-Integral (PI) control voltage tracking of Bridgeless Power Factor Correction (BPFC) Cuk converter. In order to investigate the behaviour of different output voltages during overshoot, steady state and step response, P.I controller is designed to set the -42 V, -48 V, -54 V output voltages. The simulation results show that the proposed PI controller able to control the output voltage and achieve fast steady state and step response of BPFC Cuk converter. When the value of output voltage increase, the overshoot voltage will become higher but the steady state respond will be faster. Furthermore, BPFC Cuk converter with P.I controller have low output voltage ripples

    ENKRIPTOR-DEKRIPTOR ISI E-MAIL BERBASIS ANDROID DENGAN ALGORITMA BLOWFISH

    No full text
    Perkembangan teknologi informasi yang pesat diiringi oleh perkembangan dalam hal keamanan data.  Terutama informasi atau  hal-hal  rahasia yang  orang  lain  tidak  boleh  mengetahui. Salah  satu teknologi yang terus semakin berkembang adalah Email dan munculnya platform baru yang bernama Android yang digunakan pada smartphone. Email merupakan salah satu cara untuk bertukar informasi antara satu orang dengan yang lain. Kejahatan teknologi informasi terus berkembang dan dengan berbagai macam model kejahatan, sebagai contohnya adalah Sniffing. Algoritma Blowfish merupakan salah satu algoritma algoritma block cipher 64-bit block yang cukup aman untuk mengamankan data di dalam sebuah program, tidak dipatenkan,   mempunyai ruang kunci yang besar dan panjangnya bermacam- macam dari 32 bits sampai 448 bits serta cukup kuat keamanannya, sehingga pada bagian kuncinya tidak mudah diserang oleh pihak lain. Metode pendekatan sistem yang digunakan dalam pembangunan aplikasi adalah Extreme Programming (XP) untuk menerapkan fungsi dari Enkripsi dan Dekripsi dalam versi aplikasi berbasis Android. Hasil penelitian berupa aplikasi berbasis Android yang dapat mengenkripsi sebagian  atau  semua  isi  E-mail  yang  dikirim  dan  dapat  mendeskripsi kembali  seperti  text  semula menggunakan algoritma Blowfish dengan kunci tertentu

    Enhance Cascaded H-Bridge Multilevel Inverter with Artificial Intelligence Control

    Get PDF
    This paper proposed a 7-level Cascaded H-Bridge Multilevel Inverter (CHBMI) with two diffenrent controller, ie, PID and Artificial Neural Network (ANN) controller to improve the output voltage performance and achieve a lower Total Harmonic Distortion (THD). A PWM generator is connected to the 7-level CHBMI to provide switching of the MOSFET. The reference signal waveform for the PWM generator is set to be sinusoidal to obtain an ideal AC output voltage waveform from the CHBMI. By tuning the PID controller as well as the self-learning abilities of the ANN controller, switching signals towards the CHBMI can be improved. Simulation results from the general CHBMI together with the proposed PID and ANN controller based 7-level CHBMI models will be compared and discussed to verify the proposed ANN controller based 7-level CHBMI achieved a lower output voltage THD value with a better sinusoidal output performanc

    Implementation of Artificial Neural Network Controller for Double-Input Boost Converter

    No full text
    This paper describes the design of an artificial neural network (ANN) control with power sharing control abilities of a new proposed double-input boost power converter (DIBC). The goal of this research is to model and design a high effectiveness and great performance double-input power converter for renewable energy applications. First, an artificial neural network controller design which is flexible versus a variable input voltage resource and variable load (to achieve the line regulation test and load regulation test) is proposed. Lastly, the suggested concept has been validated through experimentally on the laboratory prototype by using DSP TMS320F28335 real-time digital control. The experimental outcomes emphasize the authenticity of the suggested topology, which can be promising a novel topology that includes double-input power converter appropriate for renewable energy application systems

    Modeling of A Single Phase 7-Level Cascaded H-Bridge Multilevel Inverter

    Get PDF
    Recently, almost all industrial devices are mostly built on electronic devices which are precisely sensitive to harmonic. In order to meet the requirement from the industries demand aimed at a free-harmonics and high power rating source is remarkably increased in past few years. An inverter which a device or electric circuit that convert direct current to alternating current is one of the electronic devices that give concern to researchers for improvement of generating a neat power source. The inverter can be categorized into a single level and multilevel inverter. As compared to single level inverter, multilevel inverter offers minimum harmonic distortion and higher power output. This paper presents a model of multilevel inverter using 7-level Cascaded H-Bridge of multilevel DC-AC inverter to reduce total harmonic distortion with different sinusoidal pulse width modulation such as phase disposition and phase opposition disposition. Simulation output of single phase multilevel inverter cascaded H-bridge are analysed and verified in the Matlab/Simulink software. The result show that the 7-level cascaded H-Bridge multilevel inverter with phase disposition technique generate less total harmonic distortion if it is compared to the phase opposition disposition technique
    corecore