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Proceeding of the Electrical Engineering Computer Science and Informatics

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Published by Institute of Advanced Engineering and Science

ISSN : 2407439X EISSN : - DOI : -

Core Subject : Science, Engineering,

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 140 Documents

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Search results for , issue "Vol 4: EECSI 2017" : 140 Documents clear

Combining Deep Belief Networks and Bidirectional Long Short-Term Memory Intan Nurma Yulita; Mohamad Ivan Fanany; Aniati Murni Arymurthy
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 4: EECSI 2017
Publisher : IAES Indonesia Section

This paper proposes a new combination of Deep Belief Networks (DBN) and Bidirectional Long Short-Term Memory (Bi-LSTM) for Sleep Stage Classification. Tests were performed using sleep stages of 25 patients with sleep disorders. The recording comes from electroencephalography (EEG), electromyography (EMG), and electrooculography (EOG) represented in signal form. All three of these signals processed and extracted to produce 28 features. The next stage, DBN Bi-LSTM is applied. The analysis of this combination compared with the DBN, DBN HMM (Hidden Markov Models), and Bi-LSTM. The results obtained that DBN Bi-LSTM is the best based on precision, recall, and F1 score.

Improvement of Electronic Governance and Mobile Governance in Multilingual Countries with Digital Etymology using Sanskrit Grammar Arijit Das; Diganta Saha
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 4: EECSI 2017
Publisher : IAES Indonesia Section

With huge improvement of digital connectivity (Wifi,3G,4G) and digital devices access to internet has reached in the remotest corners now a days. Rural people can easily access web or apps from PDAs, laptops, smartphones etc. This is an opportunity of the Government to reach to the citizen in large number, get their feedback, associate them in policy decision with e governance without deploying huge man, material or resourses.But the Government of multilingual countries face a lot of problem in successful implementation of Government to Citizen (G2C) and Citizen to Government (C2G) governance as the rural people tend and prefer to interact in their native languages. Presenting equal experience over web or app to different language group of speakers is a real challenge. In this research we have sorted out the problems faced by Indo Aryan speaking netizens which is in general also applicable to any language family groups or subgroups.Then we have tried to give probable solutions using Etymology.Etymology is used to correlate the words using their ROOT forms.In 5th century BC Panini wrote Astadhyayi where he depicted sutras or rules- how a word is changed according to person,tense,gender,number etc.Later this book was followed in Western countries also to derive their grammar of comparatively new languages.We have trained our system for automatic root extraction from the surface level or morphed form of words using Panian Gramatical rules.We have tested our system over 10000 bengali Verbs and extracted the root form with 98% accuracy.We are now working to extend the program to successfully lemmatize any words of any language and correlate them by applying those rule sets in Artificial Neural Network.

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.

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