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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

Comparative Study of Web3D Standard Format to Determine the Base Format for A Web3D Framework Mursid W. Hananto; Ahmad Ashari; Khabib Mustofa
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 4: EECSI 2017
Publisher : IAES Indonesia Section

With the current Web3D document format, users are forced to choose certain document formats to use, either during development with a particular tool or when it will be displayed in a browser. Only one format that can be processed by any browser at one given time. This raises the main problem of not allowing users to display a variety of objects with different formats in their browser. For this problem, a Web3D framework can be the solution, as it will provide format conversion for the browser. The conversion itself requires an appropriate base format as the conversion goal. Since there are many formats that have been implemented by users, a comparison has to be done for the purpose of choosing the suitable format. In this study, comparisons have been made to obtain some information. The information required is the complexity of each document in describing a 3D object in the browser, as well as the performance of the particular format. Web3D formats compared in this research are the standard ones: VRML and X3D. Various specific description of object formation have also been selected as sample representation for each format. Based on comparisons in the representation information of each standard format, X3D is the more suitable format for this need. As a standard format representation, the results obtained can be used for further comparisons with non-standard or proprietary formats. This information is needed to determine the final base format for the framework to be developed in subsequent research.

Reconfigurable Logic Embedded Architecture of Support Vector Machine Linear Kernel Jeevan Sirkunan; N. Shaikh-Husin; Trias Andromeda; M. N. Marsono
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 4: EECSI 2017
Publisher : IAES Indonesia Section

Support Vector Machine (SVM) is a linear binary classifier that requires a kernel function to handle non-linear problems. Most previous SVM implementations for embedded systems in literature were built targeting a certain application; where analyses were done through comparison with software im- plementations only. The impact of different application datasets towards SVM hardware performance were not analyzed. In this work, we propose a parameterizable linear kernel architecture that is fully pipelined. It is prototyped and analyzed on Altera Cyclone IV platform and results are verified with equivalent software model. Further analysis is done on determining the effect of the number of features and support vectors on the performance of the hardware architecture. From our proposed linear kernel implementation, the number of features determine the maximum operating frequency and amount of logic resource utilization, whereas the number of support vectors determines the amount of on-chip memory usage and also the throughput of the system.

2D-Sigmoid Enhancement Prior to Segment MRI Glioma Tumour Setyawan Widyarto; Siti Rafidah Binti Kassim; Widya Kumala Sari
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 4: EECSI 2017
Publisher : IAES Indonesia Section

Tumour identification has always been a topic that interested researchers around the world. The most challenging phase in tumour identification based on brain MR image is the segmentation of the tumour contour which may contain many unwanted details. Intensity inhomogeneities often occur in real world images and may cause the difficulties in image segmentation. In order to overcome the difficulties caused by intensity inhomogeneity, the study presented pre-processing prior to a region based active contour model with modification of Region Scalable Fitting (MRF) method for image segmentation. Region based active contour model that draw upon intensity information in local regions. The pre-processing is a kind of image enhancement which applies the 2D-sigmoid function at tumour boundary. 2D-sigmoid function enhances the contrast in the brain MRI image for pre-processing steps. Enhanced pixel value, F(x, y), is the ‘S’ shape function of intensity I (x, y) of the image at the point (x, y), width of the gradient magnitude around brain image (α) and gradient magnitude around brain image (β). Experimental results show desirable of MRF method in terms of computation efficiency.

Service Computing System Engineering Life Cycle Suhardi Suhardi; Novianto Budi Kurniawan; Jaka Sembiring
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 4: EECSI 2017
Publisher : IAES Indonesia Section

The development of service computing technology has triggered the need for organizations to build a service computing system. This system is able to deliver IT services that can meet the challenges and needs of business services. An understanding of the service computing systems engineering life cycle is necessary to model and build the systems. This paper conducts the study of the service computing systems concepts and proposes the life cycle of service computing system engineering. First, some publications relevant to the service computing systems are reviewed systematically in order to develop fundamental concepts and elements of the systems. Second, a metamodel of service computing systems is built based on those concepts. Third, the life cycle model of service computing systems engineering is proposed based on the metamodel. Finally, the verification of the life cycle is conducted by comparing the proposed life cycle to the life cycle of software engineering, service engineering, and service system engineering. The contribution of this paper is to provide a coincise understanding of the components that are needed to build such systems and show the interaction and collaboration between the components in the service computing systems.

Computer Vision Based Object Tracking as a Teaching Aid for High School Physics Experiments G.D. Illeperuma; D.U.J. Sonnadara
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 4: EECSI 2017
Publisher : IAES Indonesia Section

Experiments play a vital role in science education. In high school physics, especially in mechanics, many experiments are conducted where tracking a single or multiple objects are required. In most situations students visually observe the motion of objects and take the measurements. This manual method is time consuming, generates higher error and incapable of producing multiple readings rapidly. The research described in this work introduces a simple mechanism to integrate computer vision based tracking to enhance the quality of measurements and to new ways of looking at experiments. The case study consists of three standard experiments. In the first experiment a motion of the simple pendulum was tracked. Using computer vision students were able to obtain a correlation of 0.99 between the calculated period and the theoretical period. In addition, it was possible to calculate the position and the velocity of the bob more than 30 times during a single oscillation. Students were able to plot the extra data points for a better understanding of the simple harmonic motion, which was not possible in the manual method. Second experiment was focused on measuring the terminal velocity of a ball moving through a viscous medium. Final case study was on tracking multiple particles in a moving fluid. In all three experiments computer vision based system provided more accurate and higher number of data points than the manual method. This helps students to understanding the underline theory better. The tracking system was consisted of a digital camera, image preprocessing sub system, feature extraction subsystem, object identification subsystem and data export subsystem. The system was successfully tested on a normal PC which is cost effective to be used in high schools. Based on the case studies it was concluded that such systems can be used in high schools to improve the quality of experiments conducted.

The Successful Elements Implementing the eLearning using Cloud Services Data Centre at Private Institution of Higher Learning in Malaysia Azlinda Abdul Aziz; Setyawan Widyarto; Salyani Osman; Suziyanti Marjudi
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 4: EECSI 2017
Publisher : IAES Indonesia Section

There are a few network environment used for institutions of higher learning for eLearning application. The world financial crises cause institution of higher learning struggling to maintain and update the technologies and infrastructures and try to provide the sufficient budget allocation for the network infrastructure. Cloud Services Data Centre network environment is one of the solution where they does not used physical network technology and infrastructure and cost saving. The purpose of this paper is to identify the success factor elements in implementing the eLearning using Cloud Services Data Centre at Private Institution of Higher Learning in Malaysia. The literature was reviewed and base on the preliminary study a few elements was identified for the success factor elements. The elements are perception, business needs, strategy planning, cost saving, security and vendor capability. Base on the finding the propose framework and hypothesis was derived. To validate the success factor elements of Cloud Services Data Centre the pilot test was been done.

An Analysis of Concentration Region on Powerpoint Slides using Eye Tracking Fergyanto E. Gunawana; Oky Wijaya; Benfano Soewito; Sevenpri Candra; Diana Diana; Cosmas E. Suharyanto
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 4: EECSI 2017
Publisher : IAES Indonesia Section

Powerpoint slides have become one of the essential teaching tools in academic for both offline and online modes. It may play a useful role to facilitate discussion and information exchange. However, in our teaching experience, we find many students utilizing Powerpoint slides beyond their traditional functions. Many students fully rely on the slides as the main learning materials and, in some cases, substituting textbooks. This study intends to understand how students interact with the learning materials presented on Powerpoint slides. The interaction is measured using an eye tracker device called the Eye Tribe Tracker. Thirty sophomore and junior students are asked to participate. They are instructed to learn a topic in the subject of Introduction to Algorithm and Programming, a basic course in the computer science field. During the process, their fixation points are monitored and are related to the contents on the slides. The results are rather surprising. Many students read the slides in unexpected manners that may compromise their understanding and may lead to inaccurate interpretations.

Edge Detection on Objects of Medical Image with Enhancement Multiple Morphological Gradient Method Jufriadif Na`am
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 4: EECSI 2017
Publisher : IAES Indonesia Section

Medical image is an invaluable tool in the detection of diseases or abnormalities in human organs. The low quality of medical images cause difficulty in observing the objects contained in the image, causing errors in detection. This research develops a method for improving the quality of medical images so that the edges of objects more clearly. This method is called Enhancement multiple Morphological Gradient Enhancement (EmMG). The method used at medical images had different formats, that as Computed Tomography Scan (CT-Scan) with format type Windows bitmap (bmp), Chest X-Ray with format type Joint Photographic Experts Group (jpg) and Panoramic X-Ray with format type Portable Network Graphics (png). The method developed produces images that can further clarify the edge of the object in the medical image, making it easier to detect diseases or abnormalities in the human body. This method can used as one of the solutions in medical help to improve the accuracy in detecting objects in medical images because the edge of the objects seen clearly.

High Efficiency Single Phase Inverter Design Didi Istardi; Basyir Halim; Arif Juwito Febriansyah
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 4: EECSI 2017
Publisher : IAES Indonesia Section

The solar power plant is one of the renewable energy that already was implemented in around the world. The important component in the renewable power plant is inverter device that convert the direct current to alternating current. The problem in the inverter are power quality, harmonics, and grid system. This paper introduced design inverter single phase with totem pole circuit. The circuit reduces losses in inverter. Besides that, DC link in PCB, component placement configuration, and adding filter in the output of inverter was implemented in the design. The result shown that the inverter have optimum efficiency at 98.67% and have a small total harmonics distortion with LC load.

Variance Analysis of Photoplethysmography for Blood Pressure Measurement Hendrana Tjahjadi; Kalamullah Ramli
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 4: EECSI 2017
Publisher : IAES Indonesia Section

The emergence of photoplethysmography for blood pressure estimation is offering a more convenient method. The elements of photoplethysmography waveform is crucial for blood pressure measurement. Several photoplethysmography elements are still not completely understood. The purpose of this study was to investigated corelation of photoplethysmography elements with blood pressure using statistical approach. Analysis of variance test (ANOVA) was conducted to see if there are any correlation between elements of photoplethysmography with blood pressure. This study used 10 volunteers without an ethical clearance. Photoplethysmography waveform and blood pressure measurements were taken through the patient monitor equipment DatascopeTM. As the result, value factor from the arithmetic is 35.67 and value factor from the table is 3.14. The value of F arithmetic (35.67) > F table (3.14). The correlation of diastolic time (Td) is negative with systolic arterial pressure (SAP) and the correlation of systolic amplitude (As) is positive with diastolic arterial pressure (DAP). The results showed elements of photoplethysmography can be used to estimation blood pressure. The emergence of photoplethysmography for blood pressure estimation is offering a more convenient method. The elements of photoplethysmography waveform is crucial for blood pressure measurement. Several photoplethysmography elements are still not completely understood. The purpose of this study was to investigated corelation of photoplethysmography elements with blood pressure using statistical approach. Analysis of variance test (ANOVA) was conducted to see if there are any correlation between elements of photoplethysmography with blood pressure. This study used 10 volunteers without an ethical clearance. Photoplethysmography waveform and blood pressure measurements were taken through the patient monitor equipment DatascopeTM. As the result, value factor from the arithmetic is 35.67 and value factor from the table is 3.14. The value of F arithmetic (35.67) > F table (3.14). The correlation of diastolic time (Td) is negative with systolic arterial pressure (SAP) and the correlation of systolic amplitude (As) is positive with diastolic arterial pressure (DAP). The results showed elements of photoplethysmography can be used to estimation blood pressure.

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