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ISSN : 2407439X EISSN : - DOI : -

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Computer Science & IT Electrical & Electronics Engineering

Proceeding of the Electrical Engineering Computer Science and Informatics publishes papers of the "International Conference on Electrical Engineering Computer Science and Informatics (EECSI)" Series in high technical standard. The Proceeding is aimed to bring researchers, academicians, scientists, students, engineers and practitioners together to participate and present their latest research finding, developments and applications related to the various aspects of electrical, electronics, power electronics, instrumentation, control, computer & telecommunication engineering, signal processing, soft computing, computer science and informatics.

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Articles 649 Documents

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EEG Based Emotion Monitoring Using Wavelet and Learning Vector Quantization Esmeralda C. Djamal; Poppi Lodaya
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 4: EECSI 2017
Publisher : IAES Indonesia Section

Emotional identification is necessary for example in Brain Computer Interface (BCI) application and when emotional therapy and medical rehabilitation take place. Some emotional states can be characterized in the frequency of EEG signal, such excited, relax and sad. The signal extracted in certain frequency useful to distinguish the three emotional state. The classification of the EEG signal in real time depends on extraction methods to increase class distinction, and identification methods with fast computing. This paper proposed human emotion monitoring in real time using Wavelet and Learning Vector Quantization (LVQ). The process was done before the machine learning using training data from the 10 subjects, 10 trial, 3 classes and 16 segments (equal to 480 sets of data). Each data set processed in 10 seconds and extracted into Alpha, Beta, and Theta waves using Wavelet. Then they become input for the identification system using LVQ three emotional state that is excited, relax, and sad. The results showed that by using wavelet we can improve the accuracy of 72% to 87% and number of training data variation increased the accuracy. The system was integrated with wireless EEG to monitor emotion state in real time with change each 10 seconds. It takes 0.44 second, was not significant toward 10 seconds.

Myoelectric Control Systems for Hand Rehabilitation Device: A Review Khairul Anam; Ahmad Adib Rosyadi; Bambang Sujanarko; Adel Al-Jumaily
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 4: EECSI 2017
Publisher : IAES Indonesia Section

One of the challenges of the hand rehabilitation device is to create a smooth interaction between the device and user. The smooth interaction can be achieved by considering myoelectric signal generated by human's muscle. Therefore, the so-called myoelectric control system (MCS) has been developed since the 1940s. Various MCS's has been proposed, developed, tested, and implemented in various hand rehabilitation devices for different purposes. This article presents a review of MCS in the existing hand rehabilitation devices. The MCS can be grouped into main groups, the non-pattern recognition and pattern recognition ones. In term of implementation, it can be classified as MCS for prosthetic and exoskeleton hand. Main challenges for MCS today is the robustness issue that hampers the implementation of MCS on the clinical application.

Neural Network Controller Design for a Mobile Robot Navigation; a Case Study Tresna Dewi; Pola Risma; Yurni Oktarina; M. Taufik Roseno
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 4: EECSI 2017
Publisher : IAES Indonesia Section

Mobile robot are widely applied in various aspect of human life. The main issue of this type of robot is how to navigate safely to reach the goal or finish the assigned task when applied autonomously in dynamic and uncertain environment. The ap- plication of artificial intelligence, namely neural network, can provide a ”brain” for the robot to navigate safely in completing the assigned task. By applying neural network, the complexity of mobile robot control can be reduced by choosing the right model of the system, either from mathematical modeling or directly taken from the input of sensory data information. In this study, we compare the presented methods of previous researches that applies neural network to mobile robot navigation. The comparison is started by considering the right mathematical model for the robot, getting the Jacobian matrix for online training, and giving the achieved input model to the designed neural network layers in order to get the estimated position of the robot. From this literature study, it is concluded that the consideration of both kinematics and dynamics modeling of the robot will result in better performance since the exact parameters of the system are known.

Redirection Concept of Autonomous Mobile Robot HY-SRF05 Sensor to Reduce The Number of Sensors Nuryanto Nuryanto; Andi Widiyanto; Auliya Burhanuddin
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 4: EECSI 2017
Publisher : IAES Indonesia Section

The autonomous mobile robot can move around and avoid obstacles in front by itself. The data generated by the sensors is processed using an algorithm and specific methods to determine the movement of the robot. Ultrasonic sensor installed on the Mobile robot with a straight forward position. Ultrasonic sensor can detect the obstacle 30 degrees in front, which creates the blank area of the sensor between two ultrasonic sensors. Ultrasonic sensors installed at many points to reduce that blank area. This paper offers the concept of two ultrasonic sensor redirection by mounting it tilted so when it is drawn will form a right triangle that the concept of trigonometry applied. The results of the approximate distance between the obstacle sensor becomes the hypotenuse, while the distance between the two sensors already obtained so that the distance between the mobile robot with the real obstacle can be calculated. The mechanism of mobile robot movement mimics the movement of agricultural tractors. The test results showed that the optimum angle between the two ultrasonic sensors is 35 to 55 degree. Redirection ultrasonic sensors will reduce approximately 42% of the number of sensors that are installed straight ahead.

Autonomous Navigation for an Unmanned Aerial Vehicle by the Decomposition Coordination Method Chaimaa Jihane; Hala El Ouarrak; Mohamed Mestari; Mostafa Rachik
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 4: EECSI 2017
Publisher : IAES Indonesia Section

This paper introduces a new approach for solving the navigation problem of Unmanned Aerial Vehicles (UAV) by studying its rotational and translational dynamics and then solving the nonlinear model by the Decomposition Coordination method. The objective is to reach a destination goal by the mean of an autonomous computed optimal path calculated through optimal control sequence. Solving such complex systems often requires a great amount of computation. However, the approach considered herein is based on the Decomposition Coordination principle, which allows the nonlinearity to be treated at a local level, thus offering a low computing time. The stability of the method is discussed with sufficient conditions for convergence. A numerical application is given in consolidation the theoretical results.

Design of PID Disturbance Observer for Temperature Control on Room Heating System Yoga Alif Kurnia Utama; Yulius Hari
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 4: EECSI 2017
Publisher : IAES Indonesia Section

Heat is one of an energy form that can move from a high temperature to a low temperature. This will strongly make the temperature outside of the room affect the temperature in the room. Therefore, the temperature in the room becomes unstable. That is a problem for room heating system which requires a stable indoor temperature output. Because of that reason, so the system needs temperature control method that can reject disturbance that derived from the outdoor temperature. This research will propose a solution that is the use of PID Disturbance Observer (PID-DOB) method for resolving that problem. The tests that we carried out is comparing the PID controller and PID-DOB by simulation with four variation temperature and calculating the performance index by using integral time absolute error (ITAE) criteria. The result showed that the ITAE average for PID is 10.51 and PID-DOB are 1.78. This result showed that PID-DOB controller can be used as temperature control which resists to the varied temperature outside the room.

A Project-based Approach to FPGA-aided Teaching of Digital Systems Fajar Suryawan
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 4: EECSI 2017
Publisher : IAES Indonesia Section

This article shares experience and lessons learned in teaching course on programmable logic design at Universitas Muhammadiyah Surakarta, Indonesia This course is part of bachelor of engineering (electrical) degree program. Project- based approach is chosen to strengthen these students’ un- derstanding and practical skills. Each year’s project involves challenges for the students to solve by implementing digital system on an FPGA design board. Here, background and curriculum context of the course will be presented. The projects and their challenges will be discussed. Finally, lessons learned and future improvement on the student projects will be discussed. Index Terms—project-based learning, field programmable gate arrays, education, programmable logic design, hardware design languages, laboratories

Development of Low Cost Supernumerary Robotic Fingers as an Assistive Device Mochammad Ariyanto; Rifky Ismail; Joga Dharma Setiawan; Zainal Arifin
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 4: EECSI 2017
Publisher : IAES Indonesia Section

This paper presents the development of new type of wearable robot namely Supernumerary Robotic Finger (SRF) as an assistive robot for healthy people or people with hemiparesis or hemiplegia. SRF comprises of two manipulators attached in user’s wrist. Three flex sensors are utilized to measure the finger bending of the user’s finger. The posture of SRF is driven by modified glove sensor. The kinematics of both robotic thumb (RT) and robotic finger (RF) is studied using D-H parameter method and RoboAnalyzer software in order to understand the kinematic behavior of this robot. Each of RT and RF has three degrees of freedom (DOF). The posture of RT and RF is controlled using bending angles of thumb and finger from the user that are read by flex sensor. Based on the experimental results for people with healthy hand, the proposed SRF can assist object manipulation task in grasping, holding, and manipulating an object by using single hand when normally it only can be done by using two hands. From the experimental results on a person with healthy hand, the proposed of SRF can be employed as an assistive device for people with hemiparesis or hemiplegia. This device will enable people with diminished hand function work more independently.

Performance of Routing Protocol in MANET with Combined Scalable Video Coding Parma Hadi Rantelinggi; Fridolin Febrianto Paiki; Kalvein Rantelobo
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 4: EECSI 2017
Publisher : IAES Indonesia Section

Development of wireless network technology to support various types of information services continues to increase especially in video streaming services. Video transmission especially in Mobile Ad Hoc Network (MANET) environment used in this research, particularly in the Combined Scalable Video Coding (CSVC) scheme which is a development of H.264 / MPEG-4. The contribution of this research focuses on the analysis of the performance of AODV, DSDV and DSR routing protocols in the MANET environment for CSVC, which is a new scheme in the development of H.264 / MPEG-4 video schemes. Performance evaluation are measured using the NS-2 simulation that supports MANET environment. As test metrics in this study are the end-to- end delay and PSNR. The test result shows the end-to-end delay in AODV is 0.60 seconds; this is lower than results on DSDV and DSR. On PSNR, DSR simulation results show 16.2 dB. This result exceed those in AODV and DSDV. The results of this research evaluation are influenced by channels in wireless networks, the larger the wireless network channel the more streaming video frames can be accepted by the destination node.

Design of A Microchip Optical Switching Driven by Low Direct-current Voltage Dedi Irawan
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 4: EECSI 2017
Publisher : IAES Indonesia Section

A microchip optical switching based on a directional fiber coupler has been successfully fabricated by using silicon-on-insulator with two steps of photolithography and dry etching methods. Each waveguide has 1.75 µm width, 2 µm high and the distance between the waveguides at the coupling region was 2 µm. Metal aluminum layer with 4 µm width was attached at the coupling region due to switch the optical signal from a waveguide to another. The coupled mode theory was determined to model the coupling power at the coupling region. Experimental results have shown a good agreement of switching power at the coupling as function of increment of direct current voltage. It has been obtained that to switch the signal described by the switching region that occurs for the applied DC voltage in range of 18 volt to 32 volt. Certainly, an adjustable optical switching driven by low direct current voltage promises wide range of its application in optical network and sensor application.

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