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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 48 Documents
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Search results for , issue "Vol 8, No 3: December 2017" : 48 Documents clear
Geo-Spatial Information for Managing Ambiguity Senthil Kumar M.; V. Mathivanan
Indonesian Journal of Electrical Engineering and Computer Science Vol 8, No 3: December 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v8.i3.pp636-638

Abstract

An innate test emerging in any dataset containing data of space as well as time is vulnerability due to different wellsprings of imprecision. Incorporating the effect of the instability is a principal while evaluating the unwavering quality (certainty) of any question result from the hidden information. To bargain with vulnerability, arrangements have been proposed freely in the geo-science and the information science look into group. This interdisciplinary instructional exercise crosses over any barrier between the two groups by giving an exhaustive diagram of the distinctive difficulties required in managing indeterminate geo-spatial information, by looking over arrangements from both research groups, and by distinguishing likenesses, cooperative energies and open research issues.
Optimization of tilt angle for solar panel: Case study Tunisia Hatem Tlijani; Abir Aissaoui; Rached Ben Younes
Indonesian Journal of Electrical Engineering and Computer Science Vol 8, No 3: December 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v8.i3.pp762-769

Abstract

This paper is a comparisation study between an experimental data and Matlab simulation of output PV characteristic affected by the orientation and the tilt angle of a photovoltaic solar module with inclined plane and by the dimension of the panel. The PV panel was rotated towards the east, south and west and positioned for the angles 0°, 30°, 45°, 60° and 90°. In this position, the values of current, voltage and power are measured. In the other side, using the mathematical model to calculate the solar radiation incident on an inclined surface as a function of the tilt angle was developed in MATLAB/SIMULINK model. The optimum angles were determined as positions in which maximum values of solar irradiation and maximum power were registered to characterize the P-V and V-I photovoltaic panel.
Implementation of Cloud connected Smart Plug with Energy Monitoring System C. Chennakesavan
Indonesian Journal of Electrical Engineering and Computer Science Vol 8, No 3: December 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v8.i3.pp702-704

Abstract

Internet of Things (IoT) is the expansion of web administrations. Employments of new advancements in IoT condition are expanding quickly. A Smart Home is additionally one of the uses of IoT. A Smart Switchboard constrains customer’s execution in watching home settings and controlling home machines. This paper shows an approach to manage the progression of Smart Home applications by consolidating IoT with Web server and Cloud organize. The approach concentrates on: (1) implanting insight into sensors utilizing Energia stage [7]; (2) Creating collaborations with brilliant things utilizing Blynk-Cloud stage; (3) expanding information trade proficiency. At the point when these family unit gadgets in brilliant homes interface with the web utilizing legitimate design, then entire framework can be called as Smart Home in IoT condition or IoT based Smart Homes. Keen Homes contains family unit gadgets/home apparatuses could screen and control remotely. In addition, we execute three cases to show the approach's possibility and productivity, i.e., measuring home conditions, observing electrical machines, and controlling home robotization. 
Adjusting The Origin Of Buoyancy S. Ramaswami
Indonesian Journal of Electrical Engineering and Computer Science Vol 8, No 3: December 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v8.i3.pp684-686

Abstract

Surf-riding actions in reliable attractive following oceans for cases with a variety of LCBs and Froude information are mimicked utilizing the numerical model. Comes concerning display that the surf-riding can't be forestalled by the modify of LCB. Be that as it may, it happens with an upper limit momentum when ship's focal point of lightness (COB) is stimulated towards stem contrasted with affecting towards stern, which is for the majority part since the distinctions on wave resistance brought concerning by the changing of LCB.
Texture Classification Based on Empirical Wavelet Transform Using LBP Features Ramesh P.; V. Mathivanan
Indonesian Journal of Electrical Engineering and Computer Science Vol 8, No 3: December 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v8.i3.pp623-626

Abstract

Automatic inspection systems become more importance for industries with high productive plans especially in texture industry. A novel approach to Local Binary Pattern (LBP) feature for texture classification is proposed in this system. At the first, the proposed Empirical Wavelet Transform (EWT) based texture classification is tested on gray scale and color images by using Brodatz texture images. The gray scale and color image is decomposed by EWT at 2 and 3 level of decomposition. LBP features are calculated for each empirical transformed image. Extracted features are given as input to the classification stage. K-NN classifier is used for classification stage. The result of the proposed system gives satisfactory classification accuracy of over 98% for all types of images.
Quality of Experience (QOE) Aware Video Attributes Determination for Mobile Streaming Using Hybrid Profiling Muhamad Hanif Jofri; Mohd Farhan Md Fudzee; Mohd Norasri Ismail; SHAHREEN KASIM; Jemal Abawajy
Indonesian Journal of Electrical Engineering and Computer Science Vol 8, No 3: December 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v8.i3.pp597-609

Abstract

Today, consumers use a smartphone device to display the media contents for work and entertainment purposes, as well as watching online video. Online video streaming is the main cause that consume smartphone’s energy quickly. To overcome this problem, smartphone’s energy management is crucial. Thus, a hybrid energy-aware profiler is proposed. Basically, a profiler will monitor and manage the energy consumption in the smartphone devices. The hybrid energy-aware profiler will set up a protocol preference of both the user and the device. Then, it will estimates the energy consumption in smartphone. However, saving energy alone can contribute to the Quality of Experience (QoE) neglection, thus the proposed solution takes into account the client QoE. Even though there are several existing energy-aware profilers that have been developed to manage energy use in smartphones however, most energy-aware profilers does not consider QoE at the same time. The proposed solution consider both, the performance of the hybrid energy-aware profiler is compared with the baseline energy models against a variation of content adaptation according to the pre-defined variables. Three types of variables were determined; resolution, frame rate and energy consumption in smartphone devices. In this area, QoE subjective methods based on MOS (Mean Opinion Score) are the most commonly used approaches for defining and quantifying real video quality. Nevertheless, although these approaches have been established to consistently quantify users’ amounts of approval, they do not adequately realize which are the criteria of video attribute that important. In this paper, we conducted an experiment with a certain devices to measures user’s QoE and energy usage of video attribute in smartphone devices. Our results demonstrate that the list of possible solution is a relevant and useful video attribute that satify the users.
Satellite Image Enhancement Using Dual Tree M-Band Wavelet Transform C. Periyasamy
Indonesian Journal of Electrical Engineering and Computer Science Vol 8, No 3: December 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v8.i3.pp737-739

Abstract

Drawback of losing high frequency components suffers the resolution enhancement.  In this project, wavelet domain based image resolution enhancement technique using Dual Tree M-Band Wavelet Transform (DTMBWT) is proposed for resolution enhancement of the satellite images. Input images are decomposed by using DTMBWT in this proposed enhancement technique. Inverse DTMBWT is used to generate a new resolution enhanced image from the interpolation of high-frequency sub band images and the input low-resolution image. Intermediate stage has been proposed for estimating the high frequency sub bands to achieve a sharper image. It has been tested on benchmark images from public database. Peak Signal-To-Noise Ratio (PSNR) and visual results show the dominance of the proposed technique over the predictable and state-of-art image resolution enhancement techniques.
GIS Based Satellite Image Denoising Using Curvelet Transform S. Sinthuja; Santhosh Saravanan
Indonesian Journal of Electrical Engineering and Computer Science Vol 8, No 3: December 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v8.i3.pp654-656

Abstract

Generally, satellite images contain very significant information about geographical features such as rivers, roads, building and bridges etc of the earth. Geographic Information System (GIS) requires these features for automatic detection and it has been corrupted by various types of noise. Curvelet Transform (CT) is used in the proposed system for denoising the images. Advantages of multi resolution image such as line, compatibility of human visual system and edge detection are provided. Then K-Means clustering is used in this system for segmentation purpose after the pre processing done.First, K-Means algorithm is used for segmenting background and water then extraction of bridges is done based on pixel intensity difference.   
Smart Gas Outflow Detection and Safety Circumstance System Using Cloud Technology Srikanth Kottalanka; D. Arivazhagan
Indonesian Journal of Electrical Engineering and Computer Science Vol 8, No 3: December 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v8.i3.pp721-725

Abstract

The project aim is to design and develop a cloud connected smart LPG gas cylinder platform, acting as a safety device for detecting LPG gas drip at minimum levels to avoid any credible incidents. It is also capable of detect fire exists in the area and level of the gas in order to provide real time monitoring and alert over Cloud server. If an aberrant condition is detected, the device gives an alert to the smartphone app of the user and also sends an alert e-mail to other authorities. In addition to this upon detecting a gas leakage or a fire breakout, the device automatically takes safety precautionary measures, like gas valve closing, ventilation opening, fire sprinkler activation and home electrical power supply cut-off. The device connects to the internet via Wi-Fi and thus increasing the mobility of the platform within the premises of the house. A Wi-Fi capable ARM Cortex-M4 Launchpad is used to execute the system. This device proposes a complete, low-cost, powerful and accessible way of real-time tracking and distant control of gas leakages and preventive mechanisms in household and industrial areas.
Analysis of Virtual positions Management development Supporting Technology for initial Results of the Semester of Code Vimal Kumar Stephen. K; V. Mathivanan
Indonesian Journal of Electrical Engineering and Computer Science Vol 8, No 3: December 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v8.i3.pp642-644

Abstract

This paper clarifies the Virtual Alliances for Learning Society (VALS) Project technological method to deal with bolster a virtual positions management development. Likewise, this paper demonstrates the first results of the viable piece of the venture, the Semester of Code, clarifying the recognized issues, the issues, the difficulties and a few activities to enhance the advancement of this sort of virtual positions programs. With a specific end goal to enable the readers to better understand the approach and its outcomes, the composition likewise portrays three of the principle virtual positions programs far and wide, in regards to both their association and innovative approach.

Page 4 of 5 | Total Record : 48

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