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27,404 Article Results

Dealing with the Daily Emergency Care: A Case among the Waste Pickers in Surabaya

10.11591/ijphs.v5i4.4844
Loetfia Dwi Rahariyani , Nikmatul Fadilah , Yohanes Kambaru Windi , Nursalam Nursalam
Waste pickers are those who collect, sort and sell recyclable waste for a living. Waste pickers are vulnerable to various health problems, particularly high risk of occupational health. This study intended to overview the capability of the waste picker to manage the emergency care due to their unsafe working condition. It is a descriptive study involving 48 waste pickers. The study revealed the poor knowledge and practices of the waste pickers in handling their emergency care. Therefore, it exacerbates their health and become riskier to diseases and illness. Improving the knowledge of the waste pickers regarding the emergency care and the provision of health programs accommodating the waste pickers is necessary.
Volume: 5
Issue: 4
Page: 415-421
Publish at: 2016-12-01

Identification of Brain disorders by Sub-band Decomposition of EEG signals and Measurement of Signal to Noise Ratio

10.11591/ijeecs.v4.i3.pp568-579
Hadaate Ullah , Shahin Mahmud , Rubana Hoque Chowdhury
In the case of medical science, one of the most restless researches is the identification of abnormalities in brain. Electroencephalogram (EEG) is the main tool for determining the electrical activity of brain and it contains rich information associated to the varieties physiological states of brain. The purpose of this task is to identify the EEG signal as order or disorder. It is proposed to enrich an automated system for the identification of brain disorders. An EEG signal of a patient has been taken as a sample. The simulation has been done by MATLAB. The file which consists of the signal has been called in and plotted the signals in MATLAB. The proposed system covers pre-processing, feature extraction, feature selection and classification. By the pre-processing the noises are ejected. In this case the signal has been filtered using band pass filter. The Discrete Wavelet Transform (DWT) has been used to decompose the EEG signal into Sub-band signal. The feature extraction methods have been used to extract the EEG signal into frequency domain and the time domain features. The SNR (Signal to Noise ratio) is obtained in this work is 1.1281dB.
Volume: 4
Issue: 3
Page: 568-579
Publish at: 2016-12-01

Association of Physical Activity with Co-morbid Conditions in Geriatric Population

10.11591/ijphs.v5i4.4849
Aliya Hisam , Mahmood Ur Rahman , Rimsha Khan , Sundus Ilyas , Anosha Jabbar , Syed Awais Kazmi , Umer Mushtaq
To find out association of physical activity with co-morbid conditions in geriatric population, a cross-sectional study was conducted in different cties of Pakistan in 2015. A total of 114 participants were inducted by non-probability convenience sampling technique. Data was collected after informed verbal consent by a validated questionnaire that is Rapid Assessment of Physical Activity (RAPA). Participants were categorized into two groups i.e. physically active and physically inactive.  Data was entered and analyzed in SPSS version 20. There were 66 (57.9%) males and 48 (42.1%) females with mean age of 57.04±7.348 years. Among hypertensive individuals (n=43, 37.7%) there were 39 (90.7%) physically inactive, among individuals having angina (n=17, 14.9%) there were 15 (88.2%) physically inactive. Out of 37 (32.5%) diabetics, 35 (94.6%) were physically inactive. Among individuals suffering from arthritis (n=40, 35.1%), there were 38 (95%) physically inactive. A significant association was found between physical activity and diabetes and arthritis with p-value of 0.048 and 0.029 respectively. Physical activity is significantly associated with diabetes and arthritis in geriatric population. Adequate physical activity should be performed to reduce the risk of co-morbid conditions and improve the quality of life in geriatric population.
Volume: 5
Issue: 4
Page: 444-449
Publish at: 2016-12-01

Prevalence and Associated Factors of Hypertension among Civil Servants Working in Arba Minch Town, South Ethiopia

10.11591/ijphs.v5i4.4838
Aschenaki Kalssa , Gistane Ayele , Alemu Tamiso , Tadele Girum
Despite Hypertension is a global public health challenge and a leading modifiable risk factor for cardiovascular disease and death attention was not given in developing countries. Therefore measuring the prevalence and identifying predictors of Hypertension is very important. Institution based cross sectional study design was employed from March–April, 2016 by taking 319 randomly selected civil servants working in in Arba Minch town. Data was collected using structured questionnaire and standardized instruments for physical examination by 5 trained nurses. SPSS version 20 was used for data analysis. Bi-variable and Multivariate logistic regression was employed for analysis of risk factors. The mean SBP and DBP of study participants were 120.87 + 14.15 mmHg and 80.28 + 8.8 mmHg, respectively. The prevalence of hypertension was found to be 27.8% (95% CI = 22.9-32.7%). Civil servants of age 50 years and above [AOR = 13.3], age 40-49 years [AOR = 5], age 30-39 years [AOR = 3.5], abdominal obesity [AOR=12.2], general obesity [AOR = 4.2], stress status [AOR = 12.3], current alcohol drink [AOR = 3.3], ex-drinker [AOR = 8.9] and family history of hypertension [AOR = 5.6] were found to be significantly associated with hypertension. The prevalence indicates that it is hidden epidemic in this population; therefore for screening and risk reduction program are needed.
Volume: 5
Issue: 4
Page: 375-383
Publish at: 2016-12-01

Pain and Suffering: The Reality of Being Positive with HIV/AIDS

10.11591/ijphs.v5i4.4854
Retno Lestari , Wenny Nugrahati Carsita
HIV/AIDS remains a global health problem and affects the overall quality of life. People living with HIV/AIDS are at risk for developing mental health problems, such as depression and anxiety. This condition can fuel additional problems, such as non-compliance in taking HIV medications. This study aimed to explore the meaning in life while living with HIV/AIDS among people in West Java.This study used an interpretive phenomenological approach. Data were collected by in-depth interviews among 7 participants who experienced HIV-positive. The results were analyzed by Van Manen method. Four themes were identified in this study: (1) experiencing mental suffering, (2) be free from mental suffering, (3) trust the HIV/AIDS disease is not contagious and there is a hope to liveand (4) performing activities to improve the quality of life. Participantsfeels that living with HIV/AIDS is not easy. They suffered from fear and anxiety, on the other hand it emerged as a hope and decision to seek support, treatment, and performing activities to improve the quality of life.
Volume: 5
Issue: 4
Page: 479-483
Publish at: 2016-12-01

Software Reliability Using SPRT: Burr Type III Process Model

10.11591/ijece.v6i6.pp3060-3067
CH. Smitha , R. Satya Prasad , R. Kiran Kumar
Increased dependence on software systems elicited the assessment of their reliability, a crucial task in software development. Effective tools and mechanisms are required to facilitate the assessment of software reliability. Classical approaches like hypothesis testing are significantly time consuming as the conclusion can only be drawn after collecting huge amounts of data. Statistical method such as Sequential Analysis can be applied to arrive at a decision quickly. This paper implemented Sequential Probability Ratio Test (SPRT) for Burr Type III model based on time domain data. For this, parameters were estimated using Maximum Likelihood Estimation to apply SPRT on five real time software failure datasets borrowed from different software projects. The results exemplify that the adopted model has given a rejection decision for the used datasets.
Volume: 6
Issue: 6
Page: 3060-3067
Publish at: 2016-12-01

Performance Forecasting of Share Market using Machine Learning Techniques: A Review

10.11591/ijece.v6i6.pp3196-3204
Sachin Kamley , Shailesh Jaloree , R.S. Thakur
Forecasting share performance becomes more challenging issue due to the enormous amount of valuable trading data stored in the stock database. Currently, existing forecasting methods are insufficient to analyze the share performance accurately. There are two main reasons for that: First, the study of existing forecasting methods is still insufficient to identify the most suitable methods for share price prediction. Second, the lack of investigations made on the factors affecting the share performance. In this regard, this study presents a systematic review of the last fifteen years on various machine learning techniques in order to analyze share performance accurately. The only objective of this study is to provide an overview of the machine learning techniques that have been used to forecast share performance. This paper also highlights a how the prediction algorithms can be used to identify the most important variables in a share market dataset. Finally, we could have succeeded to analyze share performance effectively. It could bring benefits and impacts to researchers, society, brokers and financial analysts.
Volume: 6
Issue: 6
Page: 3196-3204
Publish at: 2016-12-01

A New Dynamic Intelligent Model to Determine Reliability and Trust of Online Banking by Using Fuzzy C-Mean

10.11591/ijeecs.v4.i3.pp605-610
Ali Mohammad Rezaiee , Abbas Karimi
The main purpose of the present study presents a new model of smart dynamically determine the validity and reliability survey of Internet users bank is using Fuzzy C-Mean model. In other words, the aim of this study is to provide a smart system to determine the behavior of Internet users bank is confidence, so that we can fit the points by the customer, providing banking services to defined limits. In terms of method, a descriptive and exploratory data mining is in use. The method of research was descriptive survey and the use of data mining, exploration. The aim of this study is applied. The survey of methods for qualitative and quantitative data. Since the data of the Agricultural Bank documents (bills of transfer, transfer funds transfers, the number of IT users, foundations, etc.) were collected and interviews with experts in the field of electronic banking Agricultural Bank, Agricultural Bank branch target population for were randomly selected. The results showed that the diagnostic accuracy provided structure to determine the acceptable level of confidence in Internet banking is user behavior.
Volume: 4
Issue: 3
Page: 605-610
Publish at: 2016-12-01

Virtual Maintenance, Reality, and Systems: A Review

10.11591/ijece.v6i6.pp2698-2707
Kouroush Jenab , Saeid Moslehpour , Sam Khoury
Virtual Reality is a computer-generated, mock environment that can allow people to interact with it in a seemingly real way by using certain types of specialized equipment. It is mainly used for training or educational purposes and allows for “real-life” training in a safe and monitored environment. Virtual training can be used in many different fields such as medical, military, biomedical research, aviation, and many others. However, this paper reviews the most cited publications related to the application of virtual reality for training in the United States Military. As a result, researchers can find research venues based on the challenges, risk, and infrastructures.
Volume: 6
Issue: 6
Page: 2698-2707
Publish at: 2016-12-01

New Lossless Compression Method using Cyclic Reversible Low Contrast Mapping (CRLCM)

10.11591/ijece.v6i6.pp2836-2845
Hendra Mesra , Handayani Tjandrasa , Chastine Fatichah
In general, the compression method is developed to reduce the redundancy of data. This study uses a different approach to embed some bits of datum in image data into other datum using a Reversible Low Contrast Mapping (RLCM) transformation. Besides using the RLCM for embedding, this method also applies the properties of RLCM to compress the datum before it is embedded. In its algorithm, the proposed method engages Queue and Recursive Indexing. The algorithm encodes the data in a cyclic manner. In contrast to RLCM, the proposed method is a coding method as Huffman coding. This research uses publicly available image data to examine the proposed method. For all testing images, the proposed method has higher compression ratio than the Huffman coding.
Volume: 6
Issue: 6
Page: 2836-2845
Publish at: 2016-12-01

Energy Efficient Frame Structure for Gigabit Passive Optical Networks

10.11591/ijece.v6i6.pp2971-2978
Rizwan Aslam Butt , Sevia Mahdaliza Idrus , Raja Zahilah Radzi , Kashif Naseer Qureshi
Increasing power consumption in information and communication access networks is one of the major cause of greenhouse gas emissions. These emissions are harmful to life on earth. Passive Optical Networks (PONs) are energy efficient but the broadcast nature of downstream traffic may cause of huge unnecessary processing of frames by the optical network units and result in significant energy wastage. Bi-PON technique tried to solve this problem by changing the XGPON / GPON frame structure to an interleaved pattern but also required additional hardware changings at the optical network units.  In this study, we have tried to achieve the same objective by making a few changings in the GPON frame structure without modifying the existing hardware structure. The simulation results show that 25.25% processing energy of an ONU can be saved by incorporating these changes.
Volume: 6
Issue: 6
Page: 2971-2978
Publish at: 2016-12-01

Localization of Cooperative WSN using Distributed PSO with Optimum References

10.11591/ijece.v6i6.pp3094-3102
Ravichander Janapati , Ch. Balaswamy , K. Soundararajan
In indoor environment WSN nodes are deployed randomly and do not know the accurate position. Find the node position with the help of anchor nodes is known as localization. CRB algorithm selects the best anchor nodes which gives high accuracy. In this paper distributed PSO algorithm with optimum selection of reference nodes using CRB is proposed to find accurate node position. The proposed method performs better in comparison with other algorithms like PSO, RLS, LMS and GPS in terms of position accuracy, latency and complexity.
Volume: 6
Issue: 6
Page: 3094-3102
Publish at: 2016-12-01

Image Retrieval with Relevance Feedback using SVM Active Learning

10.11591/ijece.v6i6.pp3238-3246
Giang Truong Ngo , Tao Quoc Ngo , Dung Duc Nguyen
In content-based image retrieval, relevant feedback is studied extensively to narrow the gap between low-level image feature and high-level semantic concept. In general, relevance feedback aims to improve the retrieval performance by learning with user's judgements on the retrieval results. Despite widespread interest, but feedback related technologies are often faced with a few limitations. One of the most obvious limitations is often requiring the user to repeat a number of steps before obtaining the improved search results. This makes the process inefficient and tedious search for the online applications. In this paper, a effective feedback related scheme for content-based image retrieval is proposed. First, a decision boundary is learned via Support Vector Machine to filter the images in the database. Then, a ranking function for selecting the most informative samples will be calculated by defining a novel criterion that considers both the scores of Support Vector Machine function and similaritymetric between the "ideal query" and the images in the database. The experimental results on standard datasets have showed the effectiveness of the proposed method.
Volume: 6
Issue: 6
Page: 3238-3246
Publish at: 2016-12-01

Time Independent Signature Verification using Normalized Weighted Coefficients

10.11591/ijece.v6i6.pp2658-2664
Manas Singhal , Manish Trikha , Maitreyee Dutta
Signature verification is one of the most widely accepted verification methods in use. The application of handwritten signatures includes the banker’s checks, the credit and debit cards issued by banks and various legal documents. The time factor plays an important role in the framing of signature of an individual person. Signatures can be classified as: offline signature verification and online signature verification. In this paper a time independent signature verification using normalized weighted coefficients is presented. If the signature defining parameters are updated regularly according to the weighted coefficients, then the performance of the system can be increased to a significant level. Results show that by taking normalized weighted coefficients the performance parameters, FAR and FRR, can be improved significantly.
Volume: 6
Issue: 6
Page: 2658-2664
Publish at: 2016-12-01

Urban Traffic Simulators

10.11591/ijict.v5i3.pp124-128
Harshita Chitla H
Computer traffic simulation is a widely used technique in modeling, coming up with and development of traffic networks and systems. It contains a various applications, like traffic forecasting, vehicle navigation devices and so on. This paper discusses about the various types of traffic simulators. Another drawback is that the factors like accidents, public events, and road closures. In addition, we are introducing algorithmic concepts, quantifiable metrics and data structural approaches that might be applied to the simulation systems.
Volume: 5
Issue: 3
Page: 124-128
Publish at: 2016-12-01
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