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29,734 Article Results

Improved reliable multilevel inverter for renewable energy systems

10.11591/ijeecs.v14.i3.pp1141-1147
Sujatha M , A.K. Parvathy
New improved multilevel inverter (MLI) topology for Renewable energy systems is proposed in this paper. Cascaded multilevel inverters (CMLI) produce an output voltage level depending on the number of individual sources connected. The main drawback of CMLI is, as the output voltage level increases in number, the switches used in the device also increases and hence the complexity of the circuit increases. As the number of switches increases, the reliability of the circuit decreases. In this paper a novel MLI topology, which employs lesser number of switches, is proposed. A simulation model of CMLI and the proposed MLI has been built in MATLAB/SIMULINK. The reliability of the CMLI and the new topology MLI is analyzed by using MIL-HDBK-217.  
Volume: 14
Issue: 3
Page: 1141-1147
Publish at: 2019-06-01

Assessment of the Kempe Family Stress Inventory in self-care post-restrain schizophrenia

10.11591/ijphs.v8i2.18205
Ah Yusuf , Muhammad Suhron , Rika Subarniati
Basic Health Research stated that the prevalence of schizophrenia in the Indonesian population in 2018 showed schizophrenia was seven per mile; previously only 1.7 permil. The aim of the study was to explain the stress reaction and experience of families who have people with schizophrenia post-restrain. The Methods A total of 135 families who have people with schizophrenia post-restrain October to December 2018. This research was Mix Method employed Sequential Explanatory design. the research instrument used was The Kempe Family Stress Inventory (KFSI) and using in-depth interview. The results of the study illustrated that the total mean score of a stress reaction in families normal was 43.48 (S.D=5.6),mild was 34.33 (S.D=4.7) whilesevere was 56.45 (S.D=4.45). The psychological burden was expressed by families in the form of fear and worry. The results showed a reaction to high stress and family experience lacking in self-care of people with post-restrain mental disorders.
Volume: 8
Issue: 2
Page: 197-201
Publish at: 2019-06-01

Bulk binding approach for PMIPv6 protocol to reduce handoff latency in IoT

10.11591/ijece.v9i3.pp1894-1901
Adnan J. Jabir
Mobility management protocols are very essential in the new research area of Internet of Things (IoT) as the static attributes of nodes are no longer dominant in the current environment. Proxy MIPv6 (PMIPv6) protocol is a network-based mobility management protocol, where the mobility process is relied on the network entities, named, Mobile Access Gateways (MAGs) and Local Mobility Anchor (LMA). PMIPv6 is considered as the most suitable mobility protocol for WSN as it relieves the sensor nodes from participating in the mobility signaling. However, in PMIPv6, a separate signaling is required for each mobile node (MN) registration, which may increase the network signaling overhead and lead to increase the total handoff latency. The bulk binding approaches were used to enhance the mobility signaling for MNs which are moving together from one MAG to another by exchanging a single bulk binding update message. However, in some cases there might be several MNs move at the same time but among different MAGs. In this paper, a bulk registration scheme based on the clustered sensor PMIPv6 architecture is proposed to reduce the mobility signaling cost by creating a single bulk message for all MNs attached to the cluster. Our mathematical results show that the proposed bulk scheme enhances the PMIPv6 performance by reducing the total handoff latency.
Volume: 9
Issue: 3
Page: 1894-1901
Publish at: 2019-06-01

A new encrypted method in image steganography

10.11591/ijeecs.v14.i3.pp1412-1419
Sabyasachi Pramanik , R P Singh , Ramkrishna Ghosh
Steganography is data hiding technique in internet. Here we send CAPTCHA codes within a cover image using Image steganography. CAPTCHA are the crazy codes. They are used in human response test. The word is actually an acronym for: "Completely Automated Public Turing test to tell Computers and Humans Apart". It is a type of challenge–response test used in computing to determine whether or not the user is a human. Websites implement CAPTCHA codes into their registration processes due to spam. This is the utility of CAPTCHA codes. Here we generate CAPTCHA codes and later send them in an encrypted version. So, actually CAPTCHA codes are embedded into cover image with an encrypted form resulting stego image and thus attackers cannot fetch the actual CAPTCHA resulting in a secured transmission of confidential data using image steganography.
Volume: 14
Issue: 3
Page: 1412-1419
Publish at: 2019-06-01

Predictors of post prandial glucose level in diabetic elderly

10.11591/ijphs.v8i2.19022
Ni Putu Wulan Purnama Sari , Maria Manungkalit
Post prandial glucose (PPG) level describes the speed of glucose absorption after 2 hours of macronutrient consumption. By knowing this, we could get the big picture of insulin regulation function and macronutrient metabolism in our body. In elderly, age-related slower glucose metabolism leads to diabetes mellitus (DM) in older age. This study aimed to analyze the predictors of PPG level in diabetics elderly which consist of functional status, self-care activity, sleep quality, and stress level. Cross-sectional study design was applied in this study. There were 45 diabetic elderly participated by filling in study instruments. Pearson and Spearman Rank correlation test were used in data analysis (α<.05). Results showed that most respondents were female elderly, 60-74 years old, had DM for 1-5 years with no family history, and only 33.33% respondents reported regular consumption of oral anti diabetes (OAD). Hypertension was found to be frequent comorbidity. Statistical analysis results showed that functional status, self-care activity, sleep quality, and stress level were not significantly correlated with PPG level in diabetic elderly (all p>α), therefore these variables could not be PPG level predictors. Other factors may play a more important role in predicting PPG level in diabetic elderly.
Volume: 8
Issue: 2
Page: 254-262
Publish at: 2019-06-01

Knowledge and parenting patterns with toddler’s growth and development

10.11591/ijphs.v8i2.17808
murdiningsih murdiningsih , Nurul Komariah
Many factors are related to the growth and development of children. The parent factors are important, such as knowledge and parenting pattern. The purpose of the study is to analyze the correlation between knowledge and parenting patterns with toddler’s growth and development in Pre-school class in urban area of Srijaya of Palembang city within year 2017. This sstudy is an observational research with a Cross-sectional study design; it was conducted in September to October 2017. This study was conducted in Pre-school class in urban area of Srijaya of Palembang city. The population was all toddlers who attended Pre-school Class in Srijaya Palembang in year 2017. Research Samples are all toddler who follow the Pre-school class in Srijaya Palembang in year 2017 that meet the criteria of inclusion and exclusion. This research using primary data. The instrument use questionaire for knowledge and collection of biodata. For parenting variables we use Parenting Style Questioner (PSQ). In growth variable we do the measurement of body weight and height, while variable of development done by using KPSP. The result is there is correlation between mother’s knowledge with child growth (p=0.047) and child development (p=0.001). There is relationship between parenting pattern with child growth (p=0.047) and child development (p=0.001). Conclusion: there is correlation between mother's knowledge with child growth and development and there is correlation between parenting pattern with growth and development of child.
Volume: 8
Issue: 2
Page: 179-184
Publish at: 2019-06-01

Black-box modeling of nonlinear system using evolutionary neural NARX model

10.11591/ijece.v9i3.pp1861-1870
Nguyen Ngoc Son , Nguyen Duy Khanh , Tran Minh Chinh
Nonlinear systems with uncertainty and disturbance are very difficult to model using mathematic approach. Therefore, a black-box modeling approach without any prior knowledge is necessary. There are some modeling approaches have been used to develop a black box model such as fuzzy logic, neural network, and evolution algorithms. In this paper, an evolutionary neural network by combining a neural network and a modified differential evolution algorithm is applied to model a nonlinear system. The feasibility and effectiveness of the proposed modeling are tested on a piezoelectric actuator SISO system and an experimental quadruple tank MIMO system.
Volume: 9
Issue: 3
Page: 1861-1870
Publish at: 2019-06-01

Design and implementation of modified multilevel sepic converter for PV based apllications

10.11591/ijeecs.v14.i3.pp1125-1133
Arunkumari T , I. Jagadeesh , Indragandhi V
In this manuscript, a DC-DC converter of modified multilevel sepic model with single switch is proposed here. The designed converter combines the voltage tripler circuit, which improves the voltage gain and reduces the voltage ripple of the system. Another feature of the designed converter is reduces the voltage stress and utilized for PV based applications. The operation of the designed converter in Continuous-Conduction Mode (CCM) is discussed. The converter boosts the PV input voltage of 30 V to 400 V output voltages. The efficiency attained by the designed converter is 94%. The Theoretical analysis of the designed converter is presented and it is done with MATLAB simulink. To analyse the performance of this DC-DC converter a model was developed and tested.  From the experimental results obtained, it is analysed that the converter performs better and suitable for PV based application.
Volume: 14
Issue: 3
Page: 1125-1133
Publish at: 2019-06-01

Equity-Based free channels assignment for secondary users in a cognitive radio network

10.11591/ijece.v9i3.pp2057-2063
Said Lakhal , Zouhair Guennoun
The present paper addresses the equity issue among the secondary users in a cognitive radio network. After using a multi scheduler algorithm and a fairness metric namely Jain’s Equity Index; we enhance the equity between the secondary users’ transfer rates by 0.64 in average, relative to a previous work.
Volume: 9
Issue: 3
Page: 2057-2063
Publish at: 2019-06-01

Energy optimization of 6T SRAM cell using low-voltage and high-performance inverter structures

10.11591/ijece.v9i3.pp1606-1619
M. Madhusudhan Reddy , M. Sailaja , K. Babulu
The performance of the cell deteriorates, when static random access memory (SRAM) cell is operated below 1V supply voltage with continuous scale down of the complementary metal oxide semiconductor (CMOS) technology. The conventional 6T, 8T-SRAM cells suffer writeability and read static noise margins (SNM) at low-voltages leads to degradation of cell stability. To improve the cell stability and reduce the dynamic power dissipation at low- voltages of the SRAM cell, we proposed four SRAM cells based on inverter structures with less energy consumption using voltage divider bias current sink/source inverter and NOR/NAND gate using a pseudo-nMOS inverter. The design and implementation of SRAM cell using proposed inverter structures are compared with standard 6T, 8T and ST-11T SRAM cells for different supply voltages at 22-nm CMOS technology exhibit better performance of the cell. The read/write static noise margin of the cell significantly increases due to voltage divider bias network built with larger cell-ratio during read path. The load capacitance of the cell is reduced with minimized switching transitions of the devices during high-to-low and low- to-high of the pull-up and pull-down networks from VDD to ground leads to on an average 54% of dynamic power consumption. When compared with the existing ones, the read/write power of the proposed cells is reduced to 30%. The static power gets reduced by 24% due to stacking of transistors takes place in the proposed SRAM cells as compare to existing ones. The layout of the proposed cells is drawn at a 45-nm technology, and occupies an area of 1.5 times greater and 1.8 times greater as compared with 6T-SRAM cell.
Volume: 9
Issue: 3
Page: 1606-1619
Publish at: 2019-06-01

The effect of load modelling on phase balancing in distribution networks using search harmony algorithm

10.11591/ijece.v9i3.pp1461-1471
Saeid Eftekhari , Mahmoud Oukati Sadegh
Due to the unequal loads in phases and different customer consumption, the distribution network is unbalanced. Unbalancing in the distribution network, in addition to increasing power losses, causes unbalancing in voltages and increases operating costs. To reduce this unbalancing, various methods and algorithms have been presented. In most studies and even practical projects due to lack of information about the network loads, load models such as constant power model, constant current or constant impedance are used to model the loads. Due to the changing and nonlinear behaviours of today's loads, these models cannot show results in accordance with reality. This paper while introducing an optimal phase-balancing method, discusses the effect of load modelling on phase balancing studies. In this process the re-phasing method for balancing the network and the harmony search algorithm for optimizing the phase displacement process have been used. The simulation was carried out on an unbalanced distribution network of 25 buses. The results show well the effect of this comprehensive modelling on phase balancing studies. It also shows that in the re-phasing method for balancing the network and in the absence of a real load model, the use of which model offers the closest answer to optimal solutions.
Volume: 9
Issue: 3
Page: 1461-1471
Publish at: 2019-06-01

Development of a portable community video surveillance system

10.11591/ijece.v9i3.pp1814-1821
S. Fakhar A. G , A. Fauzan K , M. Saad H , R. Affendi H , K. H. Fen
In 2016, a crime rate has been evidently increasing particularly in Kuala Lumpur areas, including reports on house break-ins, car thefts, motorcycle thefts and robbery. One way of deterring such cases is by installing CCTV monitoring system in premises such as houses or shops, but this usually requires expensive equipment and installation fees. In this paper a cheaper alternative of a portable community video surveillance system running on Raspberry Pi 3 utilizing OpenCV is presented. The system will detect motion based on image subtraction algorithm and immediately inform users when intruders are detected by sending a live video feed to a Telegram group chat, as well as sound the buzzer alarm on the Raspberry Pi. Additionally, any Telegram group members can request images and recorded videos from the system at any time by sending a get request in Telegram which will be handled by Telegram Bot. This system uses the Pi NoIR camera module as the image acquisition device equipped with a 36 LED infrared illuminator for night vision capability. In addition to the Python language, OpenCV, a computer vision simulation from Intel is also used for image processing tasks. The performance analysis of the completed system is also presented computational complexity while offering improved flexibility. The performance time is also presented, where the whole process is run with a noticeable 3 seconds delay in getting the final output.
Volume: 9
Issue: 3
Page: 1814-1821
Publish at: 2019-06-01

How software size influence productivity and project duration

10.11591/ijece.v9i3.pp2006-2017
Mridul Bhardwaj , Ajay Rana , Neeraj Kumar Sharma
To make a perfect project plan, the software size of the order from the customer is the most important factor. The biggest challenge for the project manager is to estimate the project end date in the beginning of the project i.e. in project planning phase with realistic accuracy. Apart from other major inputs to estimate the project end date, expected team capability (productivity) and estimated software size are the major inputs that may influence the project end date. Software size is one of the most significant independent metric available in the planning phase and project manager has to estimate the other metrics based on the initial estimated software size. There is no direct relationship available between software size and project duration or software size and team productivity, however, there are industry data published by Quantitative Software Management and ISBSG that shows how these metrics influence each other. In this paper, using the data published by ISBSG and Quantitative Software Management, we try to statistically establish how productivity and project duration are influenced by software size. We have done linear regression analysis by generating the secondary data based on the data published by ISBSG and Quantitative Software Management. Linear regression equation validated with the actual project data and experimental results suggest that that productivity is significantly dependent on software size, however, project duration does not significantly depend on software size but may also be dependent on other metrics like team size, apart from software size.
Volume: 9
Issue: 3
Page: 2006-2017
Publish at: 2019-06-01

Badminton player detection using faster region convolutional neural network

10.11591/ijeecs.v14.i3.pp1330-1335
Nur Azmina Rahmad , Nur Anis Jasmin Sufri , Nurul Hamizah Muzamil , Muhammad Amir As'ari
Nowadays, coaches and sport analyst are concerning about sport performance analysis through sport video match. However, they still used conventional method which is through manual observation of the full video that is very troublesome because they might miss some meaningful information presence in the video. Several previous studies have discussed about tracking ball movements, identification of player based on jersey color and number as well as player movement detection in various type of sport such as soccer and volleyball but not in badminton. Therefore, this study focused on developing an automated system using Faster Region Convolutional Neural Network (Faster R-CNN) to track the position of the badminton player from the sport broadcast video. In preparing the dataset for training and testing, several broadcast videos were converted into image frames before labelling the region which indicate the players. After that, several different trained Faster R-CNN detectors were produced from the dataset before tested with different set of videos to evaluate the detector performance. In evaluating the performance of each detector model, the average precision was obtained from precision recall graph. As a result, this study revealed that the detector successfully detects the player when the detector is being fed with more generalized dataset.
Volume: 14
Issue: 3
Page: 1330-1335
Publish at: 2019-06-01

A cellular base station antenna configuration for variable coverage

10.11591/ijece.v9i3.pp1887-1893
Abdul-Rahman Shakeeb , K. H. Sayidmarie
The field coverage offered by the base station antenna in GSM systems influences the reception and interference performances. The coverage can be varied by scanning the mainbeam direction or varying the shape of the radiation pattern. In cellular system applications, a simple technique is desirable to achieve this goal. A simple technique to vary the coverage of cellular base station is investigated. The technique uses two conventional antennas tilted by a certain angle and fed by the same signal but at variable amplitudes. It is demonstrated that the field across one half of the covered sector can be gradually increased while that at the other half is reduced by varying the excitations of the two antenna elements. This can be deployed in a simple electronic means in response to the changing scenario rather readjusting the direction of the base station antenna.
Volume: 9
Issue: 3
Page: 1887-1893
Publish at: 2019-06-01
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