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29,065 Article Results

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

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

Multi-agent System for Documents Retrieval and Evaluation Using Fuzzy Inference Systems

10.11591/ijai.v5.i4.pp158-164
Galina Ivanova , Ark Andreev , Marwa A. Shouman
Recently the World Wide Web are packed with huge quantities of information. From this view the user finds it difficult to get the relevant informations due to the increased of their quantities. This paper uses multi-agent system uses intelligent agent in order to retrieval documents from the World Wide Web. The user by this system can easily get the relevant documents which to need them.Multi-agent System is combined with fuzzy inference system for ranking documents. The documents ranking score by cosine similarity using fuzzy inference system development and implemented much simpler than the traditional method which require mathematical equations.
Volume: 5
Issue: 4
Page: 158-164
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

Takagi-Sugeno Fuzzy Perpose as Speed Controller in Indirect Field Oriented Control of Induction Motor Drive

10.11591/ijai.v5.i4.pp149-157
Roslina Mat Ariff , Dirman Hanafi , Wahyu Mulyo Utomo , Nooradzianie Muhammad Zin , Sy Yi Sim , Azuwien Aida Bohari
This paper deal with the problem in speed controller for Indirect Field Oriented Control of Induction Motor. The problem cause decrease performance of Induction Motor where it widely used in high-performance applications. In order decrease the fault of speed induction motor, Takagi-Sugeno type Fuzzy logic control is used as the speed controller. For this, a model of indirect field oriented control of induction motor is built and simulating using MATLAB simulink. Secondly, error of speed and derivative error as the input and change of torque command as the output for speed control is applied in simulation. Lastly, from the simulation result overshoot is zero persent, rise time is 0.4s and settling time is 0.4s. The important data is steady state error is 0.01 percent show that the speed can follow reference speed. From that simulation result illustrate the effectiveness of the proposed approach.
Volume: 5
Issue: 4
Page: 149-157
Publish at: 2016-12-01

The Contour Extraction of Cup in Fundus Images for Glaucoma Detection

10.11591/ijece.v6i6.pp2797-2804
Anindita Septiarini , Hamdani Hamdani , Dyna Marisa Khairina
Glaucoma is the second leading cause of blindness in the world; therefore the detection of glaucoma is required. The detection of glaucoma is used to distinguish whether a patient's eye is normal or glaucoma. An expert observed the structure of the retina using fundus image to detect glaucoma. In this research, we propose feature extraction method based on cup area contour using fundus images to detect glaucoma. Our proposed method has been evaluated on 44 fundus images consisting of 23 normal and 21 glaucoma. The data is divided into two parts: firstly, used to the learning phase and secondly, used to the testing phase. In order to identify the fundus images including the class of normal or glaucoma, we applied Support Vector Machines (SVM) method. The performance of our method achieves the accuracy of 94.44%.
Volume: 6
Issue: 6
Page: 2797-2804
Publish at: 2016-12-01

Adaptive Online Module Prototype for Learning Unified Modelling Language (UML)

10.11591/ijece.v6i6.pp2931-2938
Arief Hidayat , Victor Gayuh Utomo
Every student has their own learning style. Some students may prefer to read the learning material while some other students may prefer to discuss with their colleagues to help them understanding the information more effectively. One of the learning materials is Unified Modeling Language or UML. UML is an industry standard language to specify, visualize, construct, and document the artifacts of software systems. Today, many UML online learning sites are designed to give added information to students other than face-to-face interaction in the classroom. However, most of UML materials provided by the online learning resources are limited to text-based material which is suitable only for students with verbal learning styles. This research aims to identify and analyze the needs before developing a prototype of an adaptive online module. The research is also driven by the need to develop a prototype of adaptive online module that is based on the student's learning style categories in order to help students understand UML better. The result of this research is a prototype of adaptive online module which will identify students' learning styles and lead the students to learning environment that suits their learning style.
Volume: 6
Issue: 6
Page: 2931-2938
Publish at: 2016-12-01

Performance Evaluation of A Multi-Sensor System Using Fixed Point DSP For Water Leak Detection

10.11591/ijeecs.v4.i3.pp555-560
Loutfi Benyettou
DSPs (Digital Processors Signal) are processors specifically designed for digital signals processing. The fixed-point DSPs are processors operating in integer arithmetic whose characteristics are often limited but not less powerful with respect to floating-point DSPs. In this article, it is a question of checking the performances provided by the fixed-point DSP, the TMS320C541. This one is used in a detection and remote locating system ensuring a control of water leaks on the pipes. The acoustic correlation technique used as means of detection of these leaks represents the key element of the suggested system. In fact the DSP which deals the acquisition and processing of the signals emanating from the leaks. The had aim consists in initially to confirm the choice of such a processor for such an application. A simulation study to evaluate its performances as regards of computational accuracy and computing speed is carried out. A floating-point DSP of last generation, more accurate and faster, taken as reference element, is used for this purpose.
Volume: 4
Issue: 3
Page: 555-560
Publish at: 2016-12-01
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