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Ground improvement using granular pile anchor system: resistance to heave and uplift pressure
Alvin John Lim Meng Siang;
Ehab Hamad Sfoog;
Nahla Naji;
Sim Sy Yi;
Nickholas Anting Anak Guntor;
Joewono Prasetijo
Indonesian Journal of Electrical Engineering and Computer Science Vol 19, No 1: July 2020
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v19.i1.pp403-411
Expansive soil is found in many parts of the world where its major drawback is its expansion and shrinking property upon moisture absorption and drying during alternation of rainy-dry seasons. Due to its swelling-shrinkage repeated process, fatigue and distress cause crack to structures. Granular pile anchor (GPA) system is a pioneering technique that is utilised in reinforcing these expansive soils. Granular pile anchor (GPA) system is a pioneering technique that is utilised in reinforcing expansive soils. The GPA provides tensile resistance which arrest the exerted upward forces and hence reducing heave. Previous investigations have only focused on load-displacement relationships by utilizing the pull-out technique. In this technique, an external force pulls the GPA and the corresponding displacements are recorded. The results provide indication of the GPA resistance to the applied force. However, in real conditions the heave and expansion forces were developed as a result of the pressure caused by the water absorption which pushes the entire soil bed in the upward direction along with the GPA. Therefore, this paper is aimed to explore this concept by carrying experimental and numerical investigations on a small scale model for a single pile with a diameter of 4 cm, with lengths of 20 and 40 cm. Ultimately, the reinforced soil exhibits reduction in upward force and heave compared to the unreinforced soil. Also, verifications for the testing shows that the relationship between the upward force and heave exhibits almost linear relationship for both experimental and numerical investigations. Therefore, shallow foundations incorporated with a GPA system proves to effectively lessen the heave that occurs in expansive soils which in turn can solve problems for constructions.
The key factors in transforming Birjand city to a smart city: smart mobility, smart government
Amirhossein Ghasemi;
Mohsen Saberi
Indonesian Journal of Electrical Engineering and Computer Science Vol 19, No 1: July 2020
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v19.i1.pp317-324
The physical development of urban communities and cities, as well as the advancement of communication and information world, increased the need for advanced technologies. Nowadays, many urban planners and managers, especially the mangers of the intelligent transport system and smart government, are concerned with the transformation of physical cities to electronic cities and finally too smart cities in the real world. Making electronic cities smart requires the full participation of urban management organizations in different sectors. In addition, the required frameworks should be designed and implemented based on the close relations of these organizations with each other. This study aimed to investigate the key factors in transforming Birjand city into a smarter city by focusing on two components of the intelligent transport system and smart government. In smart government, a structure is recommended that is appropriate for launching and preparing the policies and regulations that need to be covered by different dimensions. In smart transportation component, one of the most important and valuable solutions to the problems of transportation is the intelligent transport system (ITS). In this context, measuring potentials and implementing strategic planning can play a key role in increasing service delivery and reducing problems. This research design is an applied study. It intends to introduce the principles and dimensions of the intelligent transportation system and explore the potentials and strategic planning opportunities in Birjand city using a descriptive-analytical method. The data were collected by the library - documentary method. Furthermore, the study was conducted as field-survey research (interviews and questionnaires). In continuation, the strengths and weaknesses, opportunities and threats (SWOT) of the intelligent transportation system were determined and analyzed using the SWOT strategic planning model. Finally, appropriate strategies were presented.
Enhancing load frequency control of multi-area multi-sources power system including conventional and renewable energy units with nonlinearities
Mohamed Abdul Raouf Shafei;
Ahmed Nabil Abd Alzaher;
Doaa Khalil Ibrahim
Indonesian Journal of Electrical Engineering and Computer Science Vol 19, No 1: July 2020
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v19.i1.pp108-118
The foremost aims the Load Frequency Control (LFC) is to maintain the frequency at nominal value and minimize the unscheduled tie line power flow between different control areas. The penetration of renewable energy sources into the grid is a recent challenge to the power system operators due to their different modelling rather than conventional units. In this paper, enhancing load frequency control of multi-area multi-sources power system including renewable units system with nonlinearities is proposed using a new application of proportional–integral–derivative controller with proportional controller in the inner feedback loop, which is called as PID-P controller. To investigate the performance of the proposed controller, a thermal with reheater, hydro, wind and diesel power generation units with physical constraints such as governor dead band, generation rate constraint, time delay and boiler dynamics are considered. The proposed controller parameters are optimized using different heuristic optimization techniques such: Linearized Biogeography-Based Optimization technique, Biogeography-Based Optimization technique and Genetic Algorithm. The ability of the system to handle the large variation in load conditions, time delay, participation factors, and system parameters has been verified comprehensively.
Evaluation of wind park tax incentives in Colombia by means of real options
Miguel Jiménez-Gomez;
Natalia Acevedo-Prins
Indonesian Journal of Electrical Engineering and Computer Science Vol 19, No 1: July 2020
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v19.i1.pp459-465
The objective of this study is to assess tax incentives in Colombia to foster investment in wind parks. Fiscal incentives seek to diversify energy consumption with non-conventional renewable energy sources, since power is mostly generated by hydraulic force and since its price is impacted during dry seasons. The price of energy is modeled according to a regression toward the mean. This stochastic process was chosen because during droughts in Colombia there are price increases, which then return to their average value. This is an upward and downward spike behavior, as well as a regression toward the mean. Given price uncertainty and its impact on cashflow, wind parks were valued with real options to flatten the reversal for five years. The real option of flattening as an American call option was considered. Results show that, according to traditional valuation methods, wind parks in Colombia are not profitable even with tax incentives. However, according to the real options method, tax incentives do make these projects economically viable.
Review of local binary pattern operators in image feature extraction
Shihab Hamad Khaleefah;
Salama A. Mostafa;
Aida Mustapha;
Mohammad Faidzul Nasrudin
Indonesian Journal of Electrical Engineering and Computer Science Vol 19, No 1: July 2020
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v19.i1.pp23-31
With the substantial expansion of image information, image processing and computer vision have significant roles in several applications, including image classification, image segmentation, pattern recognition, and image retrieval. An important feature that has been applied in many image applications is texture. Texture is the characteristic of a set of pixels that form an image. Therefore, analyzing texture has a significant impact on segmenting an image or detecting important portions of an image. This paper provides a review on LBP and its modifications. The aim of this review is to show the current trends for using, modifying and adapting LBP in the domain of image processing.
Design of 130nm RFCMOS differential low noise amplifier
Maizan Muhamad;
Hanim Hussin;
Norhayati Soin
Indonesian Journal of Electrical Engineering and Computer Science Vol 19, No 1: July 2020
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v19.i1.pp172-177
In this paper, an inductively degenerated CMOS differential low noise amplifier circuit topology is presented. This low noise amplifier is intended to be used for wireless LAN application. The differential low noise amplifier proposed provide high gain, low noise and large superior out of band IIP3. The LNA is designed in 130 nm CMOS technology. Simulated results of gain and NF at 2.4GHz are 20.46 dB and 2.59 dB, respectively. While the simulated S11 and S22 are −11.18 dB and −9.49 dB, respectively. The IIP3 is −9.05 dBm. The LNA consumes 3.4 mW power from 1.2V supply.
The effectiveness of using deep learning algorithms in predicting students achievements
Mohammed Akour;
Hiba Al Sghaier;
Osama Al Qasem
Indonesian Journal of Electrical Engineering and Computer Science Vol 19, No 1: July 2020
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v19.i1.pp388-394
Educational Data Mining (EDM) research has taking an important place as it helps in exposing useful knowledge from educational data sets to be employed and serve several purposes such as predicting students’ achievements. Predicting student’s achievements might be useful for building and adopting several changes in the educational environments as a re-action in the current educational systems. Most of the existing research have used machine learning to predict students’ achievements by using diverse attributes such as family income, students gender, students absence and level etc. In this paper, the effort is made to explore the effectiveness of using the deep learning algorithm more precisely CNN to predict students’ achievements which could hlp in predicting if student will be able to finish their degree or not. The experimental results reveal how the proposed model outperformed the existing approaches in terms of prediction accuracy.
An immune memory and negative selection to visualizing clinical pathways from electronic health record data
Mouna Berquedich;
Oulaid Kamach;
Malek Masmoudi;
Laurent Deshayes
Indonesian Journal of Electrical Engineering and Computer Science Vol 19, No 1: July 2020
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v19.i1.pp336-343
Clinical pathways indicate the applicable treatment order of interventions. In this paper we propose a data-driven methodology to extract common clinical pathways from patient-centric Electronic Health Record data (EHR). The analysis of patient's, can lead to better regarding pathologies. The proposed algorithmic methodology consist to designing a system of control and analysis of patient records based on an analogy between the elements of the new EHRs and the biological immune systems. The detection of patient profiles ensured by biclustering Matrix. We rely on biological immunity to develop a set of models for structuring knowledge extracted from EHR and to make pathway analysis decisions. A specific analysis of the functional data leds to the detection of several types of patients who share the same EHR information. This methodology demonstrates its ability to simultaneously processing data, and is able to providing information for understanding and identifying the path of patients as well as predicting the path of future patients.
Dynamic feature for an effective elbow-joint angle estimation based on electromyography signals
Triwiyanto Triwiyanto;
Triana Rahmawati;
Endro Yulianto;
Muhammad Ridha Mak'ruf;
Priyambada Cahya Nugraha
Indonesian Journal of Electrical Engineering and Computer Science Vol 19, No 1: July 2020
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v19.i1.pp178-187
Some physical parameters influence the electromyography signal (EMG). when the EMG signal is used to estimate the position of the elbow. An adaptable feature was important to reduce a variation on the parameters. The aim of this paper is to estimate the joint position of the elbow using EMG signal based on a dynamic function. The major contribution of this work is that the method proposed is capable of determining the elbow position using the non-pattern (NPR) recognition (PR) method. A Wilson amplitude (WAMP) which used a dynamic threshold was used to reduce the EMG signal. The dynamic threshold was generated from the root mean square (RMS) processor. With the dynamic threshold, the model could adapt to any variations on the independent variables. In order to confirm this opportunity, this work involved ten healthy male subjects to perform an experimental protocol. After a tuning and calibration process, the mean of RMS error and correlation coefficient are 9.83º±1.69º and 0.98±0.01 for a single cycle of motion, 10.39º±1.82º and 0.97±0.01 for a continuous cycle of motion and 15.19º±1.92º and 0.94±0.02 for the arbitrary gesture. For conclusion, the performance of the prediction did not significantly depend on the varying cycle of gesture (p-value>0.05). This study has confirmed that the success of the non-pattern recognition-based prediction of elbow position is adaptable to any different subjects, loads, and speed of motion.
Mortality rates and life expectancy improvements among malaysian elderlies
Nur Shatikah Mohamad Ibrahim;
Syazreen Niza Shair;
Aida Yuzi Yusof
Indonesian Journal of Electrical Engineering and Computer Science Vol 19, No 1: July 2020
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v19.i1.pp134-139
This paper presents a study on mortality rates and life expectancy improvements among elderly people in Malaysia. The central age-specific mortality rates will be analyzed according to genders. The expectation of future lifetime of these old age people will be estimated using the actuarial life table approach. Two different types of life table will be developed, including life table for males and females--- to compare the results of mortality rates and life expectancies between genders. Results show that, mortality rates of Malaysian elderly, for both males and females are increasing almost in linear pattern by age, and this trend is consistent from 1950 to 2015. Comparison between genders shows that mortality of elderly females is generally lower than males at almost all ages. Nonetheless, mortality rates of Malaysian elderly males are declining faster than Malaysian elderly females. Life expentancies of females are higher than males for age groups 60 to 70, and lower than males for age 75 and above. Results also indicate that Malaysian elderly popultion is aging faster from previous generation in which elderly males age 85+ in 2010-2015 can live longer by 123% than thise in 1950-1955.