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29,758 Article Results

Modeling of a Microwave Amplifier Operating around 11 GHz for Radar Applications

10.11591/ijece.v8i5.pp3496-3503
Mohammed Lahsaini , Lahbib Zenkouar , Seddik Bri
The low noise amplifier is one of the basic functional blocks in communication systems. The main interest of the LNA at the input of the analog processing chain is to amplify the signal without adding significant noise. In this work, we have modeled a LNA for radar reception systems operating around 11 GHz, using the technique of impedance transformations with Smith chart utility. The type of transistor used is: the transistor HEMT AFP02N2-00 of Alpha Industries®. The results show that the modeled amplifier has a gain greater than 20 dB, a noise figure less than 2 dB, input and output reflection coefficients lower than -20 dB and unconditional stability.
Volume: 8
Issue: 5
Page: 3496-3503
Publish at: 2018-10-01

Optimisation towards Latent Dirichlet Allocation: Its Topic Number and Collapsed Gibbs Sampling Inference Process

10.11591/ijece.v8i5.pp3204-3213
Bambang Subeno , Retno Kusumaningrum , Farikhin Farikhin
Latent Dirichlet Allocation (LDA) is a probability model for grouping hidden topics in documents by the number of predefined topics. If conducted incorrectly, determining the amount of K topics will result in limited word correlation with topics. Too large or too small number of K topics causes inaccuracies in grouping topics in the formation of training models. This study aims to determine the optimal number of corpus topics in the LDA method using the maximum likelihood and Minimum Description Length (MDL) approach. The experimental process uses Indonesian news articles with the number of documents at 25, 50, 90, and 600; in each document, the numbers of words are 3898, 7760, 13005, and 4365. The results show that the maximum likelihood and MDL approach result in the same number of optimal topics. The optimal number of topics is influenced by alpha and beta parameters. In addition, the number of documents does not affect the computation times but the number of words does. Computational times for each of those datasets are 2.9721, 6.49637, 13.2967, and 3.7152 seconds. The optimisation model has resulted in many LDA topics as a classification model. This experiment shows that the highest average accuracy is 61% with alpha 0.1 and beta 0.001.
Volume: 8
Issue: 5
Page: 3204-3213
Publish at: 2018-10-01

Acceptance of Health Information System for Public Health Centre in North Borneo, Indonesia

10.11591/ijphs.v7i3.14315
Nurul Irma Kusumawati , Sulistyawati Sulistyawati
This study sought the factor associated with own acceptance of HIS for PHC by using the modification of Technology Acceptance Model (TAM) in the Sebengkok PHC, Central Tarakan Subdistrict, Tarakan City, North Borneo, Indonesia. A cross-sectional approach was conducted through a survey on the 37 of PHC’s user. A set of questionnaires which was adopted from the previous research was used to collect the information from the participant. The model was developed by involving job relevance, output quality, result demonstrability, screen design, terminology, facilitating condition, perceived of usefulness, perceived ease of use, intention to use and system use (actual usage) as the construct. According to the hypothesis testing, perceived usefulness predicted by terminology, perceived ease of use is significantly predicted by screen design and terminology, perceived usefulness significantly predicts the intention of use and perceived ease of use, while system use which predicted considerably by the intention of use and facilitating condition. This study may have a contribution to the future improvement of HIS for PHC and guide the next coming research to dig the difference acceptance among the user. 
Volume: 7
Issue: 3
Page: 168-174
Publish at: 2018-09-24

Estimating Health Care Costs among Fragile and Conflict Affected States: An Elastic Net-Risk Measures Approach

10.11591/ijphs.v7i3.14844
Kevin Wunderlich , Emmanuel Thompson
Fragile and conflict affected states (FCAS) are those in which the government lacks the political will and/or capacity to provide the basic functions necessary for poverty reduction, economic development, and the security of human rights of their populations.Until recent history, unfortunately, the majority of research conducted and universal health care debates have been centered around middle income and emerging economies. As a result, FCAS have been neglected from many global discussions and decisions. Due to this neglect, many FCAS do not have proper vaccinations and antibiotics. Seemingly, well estimated health care costs are a necessary stepping stone in improving the health of citizens among FCAS. Fortunately, developments in statistical learning theory combined with data obtained by the WBG and Transparency International make it possible to accurately model health care cost among FCAS. The data used in this paper consisted of 35 countries and 89 variables. Of these 89 variables, health care expenditure (HCE) was the only response variable. With 88 predictor variables, there was expected to be multicollinearity, which occurs when multiple variables share relatively large absolute correlation. Since multicollinearity is expected and the number of variables is far greater than the number of observations, this paper adopts Zou and Hastie’s method of regularization via elastic net (ENET). In order to accurately estimate the maximum and expected maximum HCE among FCAS, well-known risk measures, such as Value at Risk and Conditional Value at Risk, and related quantities were obtained via Monte Carlo simulations. This paper obtained risk measures at 95 security level.
Volume: 7
Issue: 3
Page: 175-185
Publish at: 2018-09-03

Mercury or Mercury Free Restorations in Oral Cavity

10.11591/ijphs.v7i3.14236
Rakesh Kumar Yadav , Umesh Pratap Verma , Rini Tiwari , Akhilanand Chaurasia
Amalgam is basically a concoction of metals that has been used as a potent filling material in dentistry for the last 150 years. Amalgam usually consists of silver, mercury, tin and copper. Dental amalgam is a material used to fill cavities of tooth. Over the years, amalgam has become a topic of concern because it contains mercury. Mercury is a naturally occurring metal in the environment. Mercury exists as a liquid in room temperature but when heated, it becomes a gas. Flexibility of amalgam as a filling material is due Mercury. An alloy powder, a compound that is soft in nature when mixed with mercury makes it enough to mix and condense into the tooth. It hardens quickly and offers strong resistance to the forces of biting and chewing. There are studies reported on the safety of amalgam fillings. In 2005, European Union launched a comprehensive mercury strategy to reduce use of mercury. In 2008, countries like Norway and Denmark restricted the use of dental amalgam containing mercury. In 2009, this research was evaluated by U.S. Food and Drug Administration (FDA) and found no rationale to limit the use of amalgam.  There are certain restorative materials that are available commercially that are mercury free in nature like Gold, Porcelain, Gallium alloys, Composite resin restoratives etc. They offer many advantages over amalgams containing mercury like: seals the dentin from future decay, reinforces remaining tooth structure, provides smooth and bonded margins, conservative and it blends naturally.
Volume: 7
Issue: 3
Page: 201-206
Publish at: 2018-09-03

Black Cumin Seed Oil Antidiabetogenic by Increasing Pancreatic P53 Expression

10.11591/ijphs.v7i3.13694
Akrom Akrom , Rizma Nurfadjrin , Endang Darmawan , Titiek Hidayati
Black cumin seed oil (BCSO) contains many thymoquinone and unsaturated fatty acids that act as antioxidants. Thymoquinone was thought to inhibit pancreatic damage and prevent hyperglycemia by involving p53. The study aimed to determine the BCSO effect on Malondialdehyde (MDA) levels and p53 expression of pancreatic tissues in alloxan-induced Sprague Dawley (SD) rats. This study used Pre and Post Test with Control Group Design with 49 male Sprague Dawley rats aged 30 days weighing 150 - 300 gram. Rats were divided into 7 groups: Group I, the normal control group receiving standard feeding and drinking; Group II, the negative control group receiving alloxan; Group III & IV, the treatment groups, receiving BCSO with a dose of 6.9 mg/KgBW (BCSO6.8) and 68 mg/KgBW (BCSO68 group); Group V, the positive control 1 group receiving simvastatin 10 mg/KgBW; Group VI, the positive control 2 group receiving vitamin C 18 mg/200mgBW; Group VII, the solvent control receiving DMSO. The treatment groups received two different doses per day for 9 days orally. Blood MDA and glucose levels were determined by spectrophotometry and p53 expression of pancreas tissues were read by a pathologist. The results show that the BCSO68 group had a decreased activity of MDA and glucose but a higher expression of p53 in pancreatic tissues compared to the BCSO6.8 group. Decreased Malondialdehyde levels in the BCSO68 group were similar to those in the vitamin C group but lower than those in the simvastatin group (p<0.05). It can be concluded that the BCSO administration of 68 mg/KgBW per day can decrease blood Malondialdehyde and glucose levels and increase p53 expression. 
Volume: 7
Issue: 3
Page: 207-215
Publish at: 2018-09-03

Role of Curcuma longa in the Management of Gingivitis

10.11591/ijphs.v7i3.14830
Umesh Pratap Verma , Gupta Abhaya , Sharma Disha
The most prevalent form of periodontal disease is gingivitis. The bleeding on probing, erythema, edema and ulceration are important signs of gingivitis. Previously conventional periodontal therapy has relied almost exclusively upon mechanical debridement of tooth surface. But as of today conventional periodontal therapy alone is not sufficient because pathogenic bacteria has been demonstrated not only in gingival tissue but even up to the crest of alveolar bone itself. Because of the side effect of non-steroidal anti-inflammatory drug, the use of medicinal plants for treatment of this disease was advocated. Amongst the herbs, Curcuma longa belonges to family Zingiberaceae, commonly available in India and used in various domestic affairs popular as Haldi. The present study has been conducted with aims to evaluate the anti-inflammatory effect of extract of Curcuma longa as topical and irrigant in various concentrations (0.5&1%) on inflamed gingival tissue of patient with gingivitis.  All the subjects were divided into two groups.  Group one was control, Group two (Test Group) was further subdivided in to IIa and IIb. Results revealed the extract of Curcuma longa play a significant role in reducing the inflammatory response of the gingiva like reduced gingival score, bleeding on probing and probing depth. 
Volume: 7
Issue: 3
Page: 216-222
Publish at: 2018-09-03

Knowledge, Attitude and Preventive Practices about Ebola Viral Disease among Journalists in Osogbo, Southwest Nigeria

10.11591/ijphs.v7i3.14290
Callistus A Akinleye , Samuel A. Olowookere , Olatunji A Olagunoye , Monisola Omoyeni Oginni , Ayoyinka Olufunmilayo Bolorunduro , Ebenezer G Adepoju
The West African subregion presently faces the Ebola viral disease (EVD) epidemic. In order to control this epidemic, journalists need to inform the public. This study assessed their knowledge, attitude and preventive practices. A descriptive cross-sectional study was conducted among 93 journalists working in Osun State who completed a self administered questionnaire. Data collected was analysed. Mean (SD) age was 26.4±8.2 years ranging 18 to 49 years. Mean (SD) duration in practising journalism was 7.6±6.7 years (range, 1-20 years). Most had tertiary education (87.1%), were singles (74.2%), Christians (51%) and Yoruba (92.5%).  Despite good knowledge (58.1%) of EVD, most had low risk perception (46.2%). The only statistical significant predictor of good knowledge was religion. In conclusion, most journalists have good knowledge but low risk perception. Efforts to improve the risk.
Volume: 7
Issue: 3
Page: 151-156
Publish at: 2018-09-03

The Quality of Newborn Data: Assessment of Data Management and Reporting System

10.11591/ijphs.v7i3.14386
Emmanuel Kusi Achampong , Godwin Adzakpah , Richard Okyere Boadu , Obed Owumbornyi Lasim
Data quality assurance through the district, regional and national health information systems is a sure way of having a meaningful interpretation, but this is a challenge in many developing countries. The purpose of this study was to determine the availability and data completeness of key newborn data indicators collected at the health facilities and to determine the use of newborn data for planning and decision-making at the Cape Coast metropolis. The study was a descriptive qualitative assessment. An in-depth interview was conducted in four hospitals within the Cape Coast Metropolis. There were unique best practices identified with some hospitals such as staff distribution and utilization in data collection and reporting, using data for decision making, and to define newborn indicators, data collections tools and the processes involved in data management and utilising supportive supervision from both the region and district levels. In order to sustain health information management, fundamental monitoring and evaluation issues, standardisation of monitoring and evaluation practices in data and information management must be addressed. In addition, investment should be made into the adoption of electronic medical records systems and tertiary training programs to support monitoring and evaluation activities in the hospital.
Volume: 7
Issue: 3
Page: 194-200
Publish at: 2018-09-02

The Role of Mindfulness and Self Compassion toward Depression among Pregnant Women

10.11591/ijphs.v7i3.11662
Endang Fourianalistyawati , Aisyah Uswatunnisa , Alfira Chairunnisa
Pregnant women tend to experience depression during pregnancy. This can affect mothers and babies’ health widely. Previous research has found that mindfulness and self-compassion can reduce depression in pregnant women in abroad, but it still no specific research on it in Indonesia. Therefore, the purpose of this study was to see the relationship and also the role of mindfulness and self-compassion toward depression in pregnant women. Participants in this study were 121 pregnant women who lived in the area of Jakarta, Bogor, Depok, Tangerang, and Bekasi. This study used Five Facets of Mindfulness Questionnaire (FFMQ) to measure mindfulness, Self-Compassion Scale (SCS) to measure self-compassion, and Postnatal Depression Scale (EPDS) to measure depression in pregnant women. The results of this study showed that three dimensions of mindfulness (describing, acting with awareness, and non-judging) and self-compassion as a whole had a significant relationship with depression. Then the results of multiple regression tests conducted to get results that describing dimensions of mindfulness and self-compassion have a role to depression in pregnant women.
Volume: 7
Issue: 3
Page: 162-167
Publish at: 2018-09-02

An Open-Circuit Fault Detection Method with Wavelet Transform In IGBT-Based DC/AC Inverter Used in Electric Vehicles

10.11591/ijpeds.v9.i3.pp1240-1250
Saeid Moosavi , Hesam Akbari , Saeed Valipour
Today power electronics play an important role in the electric industry. Power electronic converters are an inseparable component in power systems. One of these converters is DC/AC inverter that is widely used in power systems, industrial applications, electric motor drive and electric vehicles. Due to the tense situation with the complexity that exists in these applications, inverters are exposed to failure. The fault occurring in inverter can cause disturbance and damaging harmonics, cut some industrial processes to in the power system or in the case of electric vehicles, causing irreparable damage. For this reason, detecting faults in the inverter is very important. In this paper, open circuit fault of IGBT in an electric vehicle has been examined. We use three-phase current and wavelet transform to identify the state of the system and we can extract current waveform characteristics. We use neural network algorithm for fault detection and classification.  An electric vehicle in 5 different speeds and 5 different torque and a total of 220 failure modes have been studied and tested. The results show the method has been succeeded to detection all forms of defined faults
Volume: 9
Issue: 3
Page: 1240-1250
Publish at: 2018-09-01

A New Approach for Determining the Cost Allocation by Considering Transmission Line Mutual Inductance for Multilateral Contracts

10.11591/ijpeds.v9.i3.pp1304-1310
Suma Deepthi , V. Sumadeepthi , K. Rama
Addressing loss due to transmission and its cost allocation in deregulated electricity market is an  essential issue. Independent System Operator (ISO) provides the active power loss from the generators and the associated cost is allocated to the concerned parties in a fair way. The generators and loads participate in the loss/cost allocation process. The highlight of the paper is that the effect of mutual inductance (MI) that exists on transmission line in transmission loss/cost allocation process for multlateral contracts is illustrated. To demonstrate the effect of mutual inductance, the results of  existing loss allocation methods like penalized quoted cost (PQC) based approach are discussed. Effect of mutual inductance is presented using an IEEE 30 bus system. The simulation results are carried out using MATLAB R2014a. The result shows that mutual inductance has a significant impact on transmission loss and hence cannot be ignored.
Volume: 9
Issue: 3
Page: 1304-1310
Publish at: 2018-09-01

Novel Switching Design Structure for Three Phase 21-Level Multilevel Inverter Fed BLDC Drive Application

10.11591/ijpeds.v9.i3.pp1202-1213
Srinivas Rao Janiga , P. Srinivasa Varma , T. Suresh Kumar
Multilevel Inverters offers eminent solutions to high voltage high power applications due to the association of several devices in a series configuration. This is moderate because of getting superior quality voltage waveform when using multilevel inverters as compared to form two-level inverters. Most of the problems raised in this study are the restriction of many switching devices, which can afford high voltage are preferred in the inverter. Here, a novel multilevel inverter topology with no transformers, less number of switching devices and gate drive circuits are proposed. The proposed inverter topologies can valid more voltage levels with favorable advantages such as less number of switching devices and gate driving circuits and also reduce to humble size, agreeable voltage profile. In this paper multilevel converter fed BLDC drive with different voltage levels and simulation analysis is presented. The validity of the proposed three-phase 21-level multilevel inverter fed to BLDC motor drive scheme is verified through Matlab/Simulink Platform.
Volume: 9
Issue: 3
Page: 1202-1213
Publish at: 2018-09-01

Solving N-Queens Problem Using Subproblems based on Genetic Algorithm

10.11591/ijai.v7.i3.pp130-137
Ismail. A. Humied
Nowadays, permutation problems with large state spaces and the path to solution is irrelevant such as N-Queens problem has the same general property for many important applications such as integrated-circuit design, factory-floor layout, job-shop scheduling, automatic programming, telecommunications network optimization, vehicle routing, and portfolio management. Therefore, methods which are able to find a solution are very important. Genetic algorithm (GA) is one the most well-known methods for solving N-Queens problem and applicable to a wide range of permutation problems. In the absence of specialized solution for a particular problem, genetic algorithm would be efficient. But holism and random choices cause problem for genetic algorithm in searching large state spaces. So, the efficiency of this algorithm would be demoted when the size of state space of the problem grows exponentially. In this paper, the subproblems used based on genetic algorithm to cover this weakness. This proposed method is trying to provide partial view for genetic algorithm by locally searching the state space. This method works to take shorter steps toward the solution. To find the first solution and other solutions in N-Queens problem using proposed method: dividing N-Queens problem into subproblems, which configuring initial population of genetic algorithm. The proposed method is evaluated and compares it with two similar methods that indicate the amount of performance improvement.
Volume: 7
Issue: 3
Page: 130-137
Publish at: 2018-09-01

Expert System Based on Fuzzy Logic: Application on Faults Detection and Diagnosis of DFIG

10.11591/ijpeds.v9.i3.pp1081-1089
Ahmed Cheriet , Abdelkader Bekri , Abdeldjebar Hazzab , Hicham Gouabi
Electrical energy production based on wind power is gaining area as renewable resources in the recent years because it gets clean energy with minimum cost. The major challenge for wind turbines is the electrical and the mechanical failures which can occur at any time causing damages and therefore it leads to machine downtimes and to energy production loss. To avoid this problem, several methods have been developed and used. In this paper, we proposed an expert system based on fuzzy logic which can detect and diagnosis DFIG’s faults via the Stator current’s signatures. The fuzzy inference system exploits the root mean square values of the stator’s currents according to expert’s rules to diagnosis the DFIG’s state. The smart proposed expert system is verified using simulations done under Matlab/Simulink. The obtained results are very interesting and show the efficiency of the proposed strategy.
Volume: 9
Issue: 3
Page: 1081-1089
Publish at: 2018-09-01
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