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INDONESIA
Indonesian Journal of Electrical Engineering and Computer Science
Published by Institute of Advanced Engineering and Science
ISSN : 25024752     EISSN : 25024760     DOI : -
Core Subject :
Arjuna Subject : -
Articles 9,226 Documents
 203   204   205   206   207 
Development of non-occlusive blood pressure monitor with height correction for home used application Agung W. Setiawan; Nur A. Heryanto; Fadel M. Putra; Febri Suyitno; M. Andre Martin; Yana S. Raharja
Indonesian Journal of Electrical Engineering and Computer Science Vol 14, No 2: May 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v14.i2.pp921-928

Abstract

Non-occlusive blood pressure measurement method is developed to avoid the use of discontinuous and uncomfortable cuff-based methods. In this research, Pulse Transit Time (PTT) and Photoplethysmogram Intensity Ratio (PIR) is used to measure blood pressure. Two photoplethysmogram (PPG) sensors that are placed on the wrist and one of the finger joints both on the left hand is used to get the PTT and PIR. The name of the device is ARTSEN. During measurement, there is a measurement error caused by the hydrostatic effect when the device position is not inline with the heart. To minimize this error, this research proposes an automatic continuous blood pressure monitor. The device will conduct measurement only when the height of the device is inline with the heart. Accelerometer and gyroscope are used to detect the height of the device. There are 30 subjects that are involved in this research. To evaluate the performance of the device, there are two measurement conditions, during lying in the bed and sit down position. The blood pressure measurement is conducted using ARTSEN and sphygmomanometer (as the gold standard of blood pressure measurement). The average error of systolic blood pressure is 8 mmHg with standard deviation 5 mmHg, and average error of diastolic blood pressure is 8 mmHg with standard deviation 4 mmHg.
ICT services features to support intrinsic value activities for productive ageing Norisan Abd Karim; Haryani Haron; Wan Adilah Wan Adnan
Indonesian Journal of Electrical Engineering and Computer Science Vol 17, No 2: February 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v17.i2.pp1096-1103

Abstract

Intrinsic values associated with ICT services activities in productive ageing. Given the advances made in ICT services that have been widely used, elderlies need to be equipped with the knowledge in using the services. The lack of ICT usage among elderlies is because of the low motivation to use the ICT applications. This in turn could be due to the lack of intrinsic values associated with the use of ICT applications among elderlies. This study explores further the features of ICT services needed to support intrinsic values activities. Brainstorming sessions is conducted in this study where it involved six ICT experts in order to identify ICT services features to support intrinsic value activities. Intrinsic motivation features are significant features in ICT services to support intrinsic value activities for productive ageing. There are five intrinsic motivation features identified in this research, which are autonomy, competence, relatedness, altruism and curiosity. The ICT services to support intrinsic value activities model comprises of the ICT services characteristics that are transactive, community-based with online communication channels, and incorporated with intelligent agents.
Structure and Mechanical Analysis of Single Cantilever Piezoelectric Energy Harvester Jie Zhao; Fenglin Yao; Shiqiao Gao
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 9: September 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i9.pp6479-6493

Abstract

Cantilever energy harvester has become the main structure in piezoelectric energy harvester. There are two different methods to build their model. One is lumped parameter model; the other is distributed parameter model. By building their govern equation and solving them, amplitude-frequency characteristics, power and natural frequency of the model are obtained. Comparison of model frequency and amplitude are made between two models. Problems, scope of application and correct method for energy harvester are also given which provides reliable theoretical reference and makes solid foundation for energy harvester design.
Study of Social Integrity Behavioral Mode Based On Multi-agent System Yu Wang; Haiyang Wang; Yadi Wang; Xin Gu
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 6: June 2013
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Social integrity deficiency has become the main obstacle and prominent bottleneck to the construction of a harmonious society. Under this serious circumstance, paying attention to the problem and finding a solution has become an important issue we are faced with contemporarily. Former studies by some scholars have mainly centered on the basis of regime and education and some conclusions have been made. This paper, from the perspective of Multi-agent system, analyses the behavioral mode of the social integrity system and describes the process of emergence from the micro level to the macro one. Based on the Multi-agent system stimulus-response principle, it constructs the basic behavioral mode of social integrity; based on the adaptive-learning theory, it constructs the whole behavioral mode; and based on the evolution of agent, it constructs the level-emerge mode, which will provide a new point of view for the research of the social integrity system. According to this, some resolutions can be achieved to the issue mentioned above, which builds scientific reasonable policy basis and gives theoretical guidance for the central and local government in solving the widespread lack of social integrity. DOI: http://dx.doi.org/10.11591/telkomnika.v11i6.2645
High SNR Gain by Stochastic Resonance in a Tristable System Pin Wan; Yi-Ju Zhan; Hui Zheng; Luo-Ya Zeng; Qin Deng
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 12: December 2013
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

We report that the signal-to-noise ratio (SNR) can be improved by the stochastic resonance (SR) in a tristable system. The system is driven by Gaussian white noise and a sinusoidal signal, and studied by using the second-order Runge-Kutta method. We find that the SNR gain exhibits the stochastic resonance behavior, and greatly exceeds unity on some occasions. This result is the latest development of the tristable stochastic resonance, and has potential applications in the signal detection, processing and communications.  DOI: http://dx.doi.org/10.11591/telkomnika.v11i12.3712
TreeNet Analysis of Human Stress Behavior using Socio-Mobile Data B. Padmaja; V. V. Rama Prasad; K. V. N
Indonesian Journal of Electrical Engineering and Computer Science Vol 4, No 1: October 2016
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v4.i1.pp148-154

Abstract

Human behavior is essentially social and humans start their daily routines by interacting with others. There are many forms of social interactions and we have used mobile phone based social interaction features and social surveys for finding human stress behavior. For this, we gathered mobile phone call logs data set containing 111444 voice calls of 131 adult members of a living community for a period of more than 5 months. And we identified that top 5 social network measures like hierarchy, density, farness, reachability and eigenvector of individuals have profound influence on individuals stress levels in a social network. If an ego lies in the shortest path of all other alters then the ego receives more information and hence is more stressed. In this paper, we have used TreeNet machine learning algorithm for its speed and immune to outliers. We have tested our results with another Random Forest classifier as well and yet, we found TreeNet to be more efficient. This research can be of vital importance to economists, professionals, analysts, and policy makers.
Smart Home Security Access System Using Field Programmable Gate Arrays Shukur Bin Saleh; Sulaiman Bin Mazlan; Nik Iskandar Bin Hamzah; Ahmad Zahid Zakwan Bin Abdul Karim; Mohd Shamian Bin Zainal; Shipun Anuar Bin Hamzah; Danial Bin Md Nor; Hazwaj Bin Mhd Poad
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 1: July 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v11.i1.pp152-160

Abstract

Nowadays, the rapid growth of burglary and theft cases over the world has been threatening to the vulnerability of traditional home security systems. Therefore the development home security with intelligent control wherein focus to enhance conventional technique to theadvanced digital security systemand to be more interestinginhome or building owner for preventing intruders in smart home implementation. However, using avariety of type conventional lock doors for security purposes and analog intruder sensor with individual function system is not secure enoughin order to protect the person or company properties. That why the emergence of new technology such as integrated circuit network will apply in Smart Home system for abetter security solution to prevent the houses from theintruder and hazardous fire incident. Therefore, this project is done to design and build a smart system with consist of digital security entry for automatic lock doors and also for activating or deactivate all security sensor in houses which is function for detecting the irregular movement and hot temperature (fire incident) in-house for the domestic residential sector. This product includeswith doors automatic lock system using servo motor and detect irregular movement intruder using PIR motion sensor (HC-SR501) and also measure hot temperature using temperature sensor (LM35). The sensor will transmit theanalog signal to Field Programmable Gate Array (FPGA) the Altera DE2-115 board to be processed and which will then display the status entry after key-in password and activation security system on the LED seven segment displays. The entry login controller will use apush button or switchesavailable on FPGA board that are used to login password for automatic door accessand also able maintained for control home smart security system.
An optimal nonlinear control for anti-synchronization of Rabinovich hyperchaotic system Shaymaa Al-hayali; Saad Fawzi AL-Azzawi
Indonesian Journal of Electrical Engineering and Computer Science Vol 19, No 1: July 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v19.i1.pp380-387

Abstract

This work derives new results for the anti-synchronization of 4D identical Rabinovich hyperchaotic systems by using two strategies: active and nonlinear control. The stabilization results of error dynamics systems are established based on Lyapunov second method. Control is designed via the relevant variables of drive and response systems.  In comparison with previous strategies, the current controller (Nonlinear control) focused on the minimum possible limits for relevant variables. The better performance is realizing the anti- synchronization by designing a control with low terms. After obtaining analytical results of the proposed controller, numircal simulation is carried out using Matlab. The graphical results prove validity and applicability of proposed control without know any parameter.The proposed control has certain significance for reducing the time and complexity for strategy implementation.
License Plate Recognition Model Research Based on the Multi-Feature Technology Li Ju-xia
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 4: April 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Due to the impact of pollution, environment and so on in actual scene, it is difficult for the traditional single feature recognition model to obtain a higher accuracy of the license plate recognition. The paper proposed a new license plate image recognition model. First, the structural features and gray level features of the license plate, such as the contour and stroke order are extracted. Then, the principal component analysis is used to carry out the fusion, dimensionality reduction and redundancy removal processing for the two kinds of features, and a fuzzy fusion model for differentiated features is introduced to ensure minimal loss for the feature in fusion. Finally, the final result of the license plate image recognition is achieved in accordance with high degree of confidence criterion when the slope interference of the license plate is considered fully. Simulation results show that the license plate image recognition model based on multi-feature combination can solve the problem of the single feature recognition model, improve the accuracy of license plate recognition which is up to 99%. Moreover, the model has a faster recognition speed and can be applied to the actual license plate recognition. DOI : http://dx.doi.org/10.11591/telkomnika.v12i4.4307
Real-time Vision-based Hand Gesture Recognition Using Sift Features Mitra Khaledian; Mohammad Bagher Menhaj
Indonesian Journal of Electrical Engineering and Computer Science Vol 15, No 1: July 2015
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This paper introduces a new algorithm based on machine vision for the recognition of hand gesture. In step 1, the Microsoft Kinect sensor is used to capture color images and depth. User’s hand detected by eliminating the background and rescaling image. In the next step, “Scale-invariant feature transform (SIFT)” algorithm is used for the feature extraction. The extracted feature vectors are built in vocabulary tree with K-means clustering. Finally, Hand gesture is recognized by a recognition high-level method called stochastic context-free grammar (SCFG). SCFG is used for syntactic structure analysis that is based on hand gesture recognition, that is combined postures can be analyzed and recognized by a set of production rules. SCFG is most effective in disambiguate. By this approach, we are able to recognize various gestures in 30 frames per seconds (fps) and with more than 90 % accuracy. DOI: http://dx.doi.org/10.11591/telkomnika.v15i1.8091 

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