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28,910 Article Results

Prediction of Bioprocess Production Using Deep Neural Network Method

10.12928/telkomnika.v15i2.6124
Amirah; Universiti Teknologi Malaysia Baharin , Afnizanfaizal; Universiti Teknologi Malaysia Abdullah , Siti; Universiti Teknologi Malaysia Noorain Mohmad Yousoff
Deep learning enhanced the state-of-the-art methods in genomics allows it to be used in analysing the biological data with high prediction. The training process of neural network with several hidden layers which has been facilitated by deep learning has been subjected into increased interest in achieving remarkable results in various fields. Thus, the extraction of bioprocess production can be implemented by pathway prediction in genomic metabolic network in eschericia coli. As metabolic engineering involves the manipulation of genes which have the potential to increase the yield of metabolite production. A mathematical model of this network is the foundation for the development of computational procedure that directs genetic manipulations that would eventually lead to optimized bioprocess production. Due to the ability of deep learning to be well suited in terms of genomics, modelling for biological network can be implemented. Each layer reveal the insight of biological network which enable pathway analysis to be implemented in order to extract the target bioprocess production. In this study, deep neural network has been to identify any set of gene deletion models that offers optimal results in xylitol production and its growth yield. 
Volume: 15
Issue: 2
Page: 805-813
Publish at: 2017-03-01

CBIR of Brain MR Images Using Histogram of Fuzzy Oriented Gradients and Fuzzy Local Binary Patterns

10.11591/ijai.v6.i1.pp8-17
Athira TR , Abraham Varghese
Retrieval of similar images from large dataset of brain images across patients would help the experts in the decision diagnosis process of diseases. Generally used feature extraction methods are color, texture and shape. In medical images texture and shape features are most efficient. Histogram of Oriented Gradients (HOG) and Local Binary Pattern (LBP) are good descriptor for brain MR image retrieval. But there are many challenges facing in medical application. An empirical study of the impact of increasing bins number in the HOG descriptor concluded that larger the number is more accurate the descriptor is. In fact this is due to the reduction of orientations range that each bin covers. Despite the efficiency of augmenting the bins number, this technique has limited spatial support as the augmentation of the number of bins used leads to increase the histogram dimension. So here proposed a method called Histogram of Fuzzy Oriented Gradients (HFOG), in which a pixel can belong several bins with different degrees. The Local Binary Patterns feature extraction method is widely used for texture analysis; however, the original LBP is based on hard thresholding the neighborhood of each pixel. Therefore, texture representation with LBP is very sensitive to noise and cannot distinguish between a strong and a weak pattern. In this study, Fuzzy Local Binary Patterns was introduced to improve the original LBP.
Volume: 6
Issue: 1
Page: 8-17
Publish at: 2017-03-01

Mathematical Modeling and Fuzzy Adaptive PID Control of Erection Mechanism

10.12928/telkomnika.v15i1.3568
Feng; Xi’an High-tech Research Institute Jiangtao , Gao; Xi’an High-tech Research Institute Qinhe , Guan; Xi’an High-tech Research Institute Wenliang
This paper describes an application of fuzzy adaptive PID controller to erection mechanism. Mathematical model of erection mechanism was derived. Erection mechanism is driven by electro-hydraulic actuator system which is difficult to control due to its nonlinearity and complexity. Therefore fuzzy adaptive PID controller was applied to control the system. Simulation was performed in Simulink software and experiment was accomplished on laboratory equipment. Simulation and experiment results of erection angle controlled by fuzzy logic, PID and fuzzy adaptive PID controllers were respectively obtained. The results show that fuzzy adaptive PID controller can effectively achieve the best performance for erection mechanism in comparison with fuzzy logic and PID controllers.
Volume: 15
Issue: 1
Page: 254-263
Publish at: 2017-03-01

Multi-feature Fusion Using SIFT and LEBP for Finger Vein Recognition

10.12928/telkomnika.v15i1.4443
Hardika; Institut Teknologi Sepuluh Nopember Khusnuliawati , Chastine; Institut Teknologi Sepuluh Nopember Fatichah , Rully; Institut Teknologi Sepuluh Nopember Soelaiman
In this paper, multi-feature fusion using Scale Invariant Feature Transform (SIFT) and Local Extensive Binary Pattern (LEBP) was proposed to obtain a feature that could resist degradation problems such as scaling, rotation, translation and varying illumination conditions. SIFT feature had a capability to withstand degradation due to changes in the condition of the image scale, rotation and translation. Meanwhile, LEBP feature had resistance to gray level variations with richer and discriminatory local characteristics information. Therefore the fusion technique is used to collect important information from SIFT and LEBP feature.The resulting feature of multi-feature fusion using SIFT and LEBP feature would be processed by Learning Vector Quantization (LVQ) method to determine whether the testing image could be recognized or not. The accuracy value could achieve 97.50%, TPR at 0.9400 and FPR at 0.0128 in optimum condition.  That was a better result than only use SIFT or LEBP feature.
Volume: 15
Issue: 1
Page: 478-485
Publish at: 2017-03-01

Layout Optimization of Microsatellite Components Using Genetic Algorithm

10.12928/telkomnika.v15i1.3872
Mohammad; LAPAN Mukhayadi , Irman; Bogor Agricultural University (IPB) Hermadi , Soewarto; Pakuan University, Bogor. Hardhienata
The placement of satellite components usually belongs to non-deterministic polynomial-time hard (NP-hard) problems that in terms of computational complexity is very difficult to solve. This problem is normally known as layout optimization problem (LOP). In this study the layout of microsatellite components has to meet the requirements set by mission payloads, launcher and spacecraft attitude control. The novel scheme is to find the various possibilities of optimal layout using genetic algorithms combined with order-based positioning technique (OPT). Each component has a given index and then placed in a container based on specific order of placements in accordance with a bottom-left (BL) algorithm that is already established. The placement order is generated by the genetic algorithm which explore various possibilities to obtain a sequence that brings the best solution.
Volume: 15
Issue: 1
Page: 341-350
Publish at: 2017-03-01

A Mamdani Fuzzy Model to Choose Eligible Student Entry

10.12928/telkomnika.v15i1.4893
Agus; University of Computer Indonesian (UNIKOM) Nursikuwagus , Agis; Bandung Institute of Technology Baswara
This paper presented about study that have been created a new student choosing system by using fuzzy mamdani inference systems method. Fuzzy mamdani is used because it has characteristics such as human perceptions on choosing of students with some specified criteria. The choosing studens who want entry to the school have been difficult if it is manually process. With the fuzzy mamdani, the process can be possible completed execute and can be reduced the time of choose. To accomplish the process, the fuzzy variable is created by the national final exam scores, report grade, general competency test, physical test, interview and psychological test. Based on testing 270 data, the fuzzy mamdani has been reached 75.63% accuracy.
Volume: 15
Issue: 1
Page: 365-372
Publish at: 2017-03-01

Topology Design of Extended Torus and Ring for Low Latency Network-on-Chip Architecture

10.12928/telkomnika.v15i2.6134
Ng; University Malaysia Perlis Yen Phing , M. N.; University Malaysia Perlis Mohd Warip , Phaklen; University Malaysia Perlis Ehkan , F. W.; University Malaysia Perlis Zulkefli , R.; University Malaysia Perlis Badlishah Ahmad
In essence, Network-on-Chip (NoC) also known as on-chip interconnection network has been proposed as a design solution to System-on-Chip (SoC). The routing algorithm, topology and switching technique are significant because of the most influential effect on the overall performance of Network-on-Chip (NoC). Designing of large scale topology alongside the support of deadlock free, low latency, high throughput and low power consumption is notably challenging in particular with expanding network size. This paper proposed an 8x8 XX-Torus and 64 nodes XX-Ring topology schemes for Network-on-Chip to minimize the latency by decrease the node diameter from the source node to destination node. Correspondingly, we compare in differences on the performance of mesh, full-mesh, torus and ring topologies with XX-Torus and XX-Ring topologies in term of latency. Results show that XX-Ring outperforms the conventional topologies in term of latency. XX-Ring decreases the average latency by 106.28%, 14.80%, 6.7 1%, 1.73%, 442.24% over the mesh, fully-mesh, torus, XX-torus, and Ring topologies.
Volume: 15
Issue: 2
Page: 869-876
Publish at: 2017-03-01

An Adaptive Controller for Photovoltaic Emulator using Artificial Neural Network

10.11591/ijeecs.v5.i3.pp556-563
Razman Ayop , Chee Wei Tan
The photovoltaic (PV) emulator is a nonlinear power supply that features the similar characteristic of the PV module. However, the nonlinear characteristic of the PV module causes instability of the PV emulator output. The conventional solution is to operate the PV emulator in the overdamped condition which results in a poor dynamic performance. This drawback is solved by manipulating the proportional and integral gains of the proportional-integral (PI) controller. In this paper, the artificial neural network is used in the adaptive PI controller to maintain a stable and fast dynamic response of the PV emulator. This has been simulated with varied output resistance and irradiance. By comparing the proposed control strategy with the conventional method during start-up response of the photovoltaic emulator, the dynamic performance of the output current has shown an improvement of up to 80 % faster than the conventional method.
Volume: 5
Issue: 3
Page: 556-563
Publish at: 2017-03-01

Prevention of Nosocomial Infection through Application of Housekeeping

10.11591/ijphs.v6i1.6538
Qomariyatus Sholihah , Aprizal Satria Hanafi
The hospital has a high risk of nosocomial infection. Nosocomial infection can infect patients in hospital and can inhibit the patient's recovery, even worsen a patient. The purpose of this study was to determine the relationship of the application of housekeeping with the total number of germs floor as prevention nosocomial infection in the treatment room Roses in Ulin Hospital Banjarmasin, Indonesia. The study design was observational analytic. The study population was all Roses class treatment rooms. The samples were taken from the floor germs 4 point class treatment rooms in hospitals Rose Ulin. Sampling was conducted in the first week and the second week in November 2015. Paired t-test results showed no relationship between the applications of housekeeping with the total number of germs floor with a p-value 0.015.This study found there was decreasing the total number of germ on the floor in all rooms. It is hoped that the hospital to continue to pay attention to the condition of the hospital, especially in terms of hygiene in order to avoid transmission of germs or nosocomial infections due to bacteria originating from the floor.
Volume: 6
Issue: 1
Page: 91-95
Publish at: 2017-03-01

Ethnicity, Obesity, and Type 2 Diabetes of Adults in Urban Populations of Central America

10.11591/ijphs.v6i1.6529
William G Wuenstel , James A. Johnson , James Humphries , Cheryl Samuel
The purpose of this meta-analysis was to examine the impact of ethnicity and obesity as it relates to Type-2 Diabetes (T2D) in specific Central American countries. A meta-analysis was conducted to determine the association of ethnicity, obesity, and T2D.  Four studies that qualified for inclusion were identified by searching MEDLINE and PubMed databases. The studies on the association of ethnicity and T2D had a combined population resulted in 265,858 study participants.  Two studies on the association of obesity and T2D had 197,899 participants. An analysis of the data was conducted utilizing the relative risk ration, odds ratio, and forest plots. The comparison of the relative risk of T2D across ethnic categories by studies range for Blacks was 1.59 to 2.74, Asians was 1.43 to 2.08, and Hispanics .92 to 2.91. The ethnic difference in the prevalence of diabetes was almost two-fold higher in all ethnic groups than among the Caucasians with a significance level of 95%. A comparison of relative risk of T2D across weight categories was significantly higher among those with a diagnosed of diabetes in all reported areas. The odds ratio was very close to the risk ratio in both ethnicity and obesity to the development of T2D.The meta-analysis findings documented that an association does exist between ethnicity and obesity to the development of type 2 diabetes.
Volume: 6
Issue: 1
Page: 27-32
Publish at: 2017-03-01

The Effect of Rekattidiri Ovitrap towards Aedes aegypti Larval Density

10.11591/ijphs.v6i1.6536
Malik Saepudin , Soeharyo Hadisaputro , Ari Suwondo , Suhartono Suhartono
Dengue Hemorrhagic Fever (DHF) is a health problem in Indonesia. The entire region of Indonesia at risk of contracting dengue disease. The study aims to prove the effect of modifications ovitrap rekattidiri on the density of larvae (HI: House Index, CI: Container Index and BI: Breteu Index) as well as comparing the differences between the mean larvae trapped between ovitrap Rekattidiri with standard ovitrap. Using a quasi experimental design, time series experimental design with Control group. Population subjects were Aedes aegypti at the endemic sites in Pontianak, West Borneo. The results showed larval density index in the intervention area decreased each ie HI from 26% to 3%, CI of 6.95% to 2.19 %, and BI from 29% to 13%. The number of larvae trapped in ovitrap rekattidiri ie 70% (12,770 larvae) more than the standard ovitrap in the control and intervention, namely: 17% (3,057 larvae) and 13% (2,334 larvae). It is concluded that there are significant modifications Rekattidiri ovitrap against larval density index (HI p-value: 0.025, CI p-value: 0.052, BI value of p: 0.04) and there are differences between the mean larvae trapped in ovitrap Rekattidiri and standard ovitrap with p value: 0.001.
Volume: 6
Issue: 1
Page: 78-84
Publish at: 2017-03-01

Opinion of Healthcare Professionals in the Usage of Social Media for Patient Care in Majmaah, Saudi Arabia

10.11591/ijphs.v6i1.6527
Syed Meraj Ahmed , Faisal Alhumaidi Alruways , Thamer Fahad Alsallum , Meshal Munahi Almutairi , Abdullah Saif Al-Subhi , Ahmed Abdulaziz Ababdulkarim
Use of social media for patient care is the new frontier in the healthcare indus-try. Sharing of information between the clinicians and their patients is now so much easier. In slowly gaining a foothold worldwide it needs a healthy push to make it universally accepta-ble. Study the knowledge, attitude, and practices of healthcare providers on the usage of social media in their clinical practice.A baseline cross–sectional study was conducted among 200 healthcare professionals from March 2015 to September 2015 on their knowledge, attitude, and practices in the use of social media for patient care in Majmaah, Saudi Arabia. A close ended self – administered validated questionnaire was used to gather data which was analyzed by using the SPSS ver. 21.0 software. 55.3% participants used social media for both professional and personal reasons. Some (25.3%) specified using it for patient care while a significant majority (52.9%) opined that it can be successfully used for patient interaction. Nearly 55% agreed that social media should not be banned due to its benefits as an efficient tool for patient communication. Social media use for pa-tient doctor interaction should be encouraged to improve patient care through effective communication.
Volume: 6
Issue: 1
Page: 13-20
Publish at: 2017-03-01

New Method of Optimal Design of Electrical Rotating Machines

10.11591/ijeecs.v5.i3.pp479-487
Flur Ismagilov , Vyacheslav Vavilov , Valentina Ayguzina , Vladimir Bekuzin
The article presents a new method of the optimal design of the electrical rotating machine based on genetic algorithm. The mathematical description of the proposed algorithm is developed, and the optimal design of the high-speed electrical rotating machine by proposed method is performed. A new method for optimal design allows obtaining a new electrical rotating machine which mass is lower than mass of the initial electrical rotating machine by two times; the value of the rotor active length is lower by 2.37 times and the current density is higher by 1.7 times in comparison with the initial electrical rotating machine. The losses are increased by only 25 percent (power, rotation frequency and materials of both electrical rotating machine are the same).
Volume: 5
Issue: 3
Page: 479-487
Publish at: 2017-03-01

Human Resource Practices in Public Healthcare Sector: A Perceptual Study among Healthcare Professionals

10.11591/ijphs.v6i1.6532
Sumathi G N
The study is aimed to identify various human resource practices in the public healthcare sector and to measure the level of human resource practices. The study adopts the perceptual view of healthcare professionals such as medical officers and staff nurses working in Primary Health Centres of Tamilnadu. A survey using a questionnaire is used to collect data from healthcare professionals. The results indicated that human resource practices such as job autonomy and job security are perceived to be useful and necessary, while training and performance management system are found to provide necessary inputs for carrying job duties and practices such as career growth opportunities and compensation need the attention of the officials of Health and Family Welfare department of Tamilnadu Government for enhancing the utility of these practices.
Volume: 6
Issue: 1
Page: 51-56
Publish at: 2017-03-01

Analysis of Transistor Open Fault Diagnosis for Shunt Active Power Filters

10.11591/ijeecs.v5.i3.pp521-529
Benyettou Loutfi , T. Benslimane
In this paper a transistor open-circuit fault diagnosis problem in two-level voltage inverter controlled shunt active power filter drives was discussed. Taking into consideration requirements of the contemporary monitoring drive systems original transistor fault diagnostic technique were proposed. Presented results were obtained by designed in PSIM software simulation model.
Volume: 5
Issue: 3
Page: 521-529
Publish at: 2017-03-01
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