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30,938 Article Results

Underwater Image De-nosing using Discrete Wavelet Transform and Pre-Whitening Filter

10.12928/telkomnika.v16i6.9236
Mohanad Najm; University of Technology Abdulwahed , Ali Kamil; University of Technology Ahmed
Image denoising and improvement are essential processes in many underwater applications. Various scientific studies, including marine science and territorial defence, require underwater exploration. When it occurs underwater, noise power spectral density is inconsistent within a certain range of frequency, and the noise autocorrelation function is not a delta function. Therefore, underwater noise is characterised as coloured noise. In this study, a novel image denoising technique is proposed using discrete wavelet transform with different basis functions and a whitening filter, which converts coloured noise characteristics to white noise prior to the denoising process. Results of the proposed method depend on the following performance measures: peak signal-to-noise ratio (PSNR) and mean squared error. The results of different wavelet bases, such as Debauchies, biorthogonal and symlet, indicate that the denoising process that uses a pre-whitening filter produces more prominent images and better PSNR values than other methods.
Volume: 16
Issue: 6
Page: 2622-2629
Publish at: 2018-12-01

Negative Total Float to Improve a Multi-Objective Integer Non-Linear Programming for Project Scheduling Compression

10.11591/ijece.v8i6.pp5292-5302
Fachrurrazi Fachrurrazi , Abdullah Abdullah , Yuwaldi Away , Teuku Budi Aulia
This paper presents Multi-Objective Integer Non-Linear Programming (MOINLP) involving Negative Total Float (NTF) for improving the basic model of Multi-Objective Programming (MOP) in case the optimization of the additional cost for Project Scheduling Compression (PSC). Using the basic MOP to solve the more complex problems is a challenging task. We suspect that Negative Total Float (NTF) having an indication to make the basic MOP to solve the more general case, both simple and complex of PSC. The purpose of this research is identifying the conflicting objectives in PSC problem using NTF and improving MOINLP by involving the NTF parameter to solve the PSC problem. The Solver Application, which is an add-in of MS Excel, is used to perform optimization process to the model developed. The results show that NTF has an important role to identify the conflicting objectives in PSC. We define NTF is an automatic maximum value of the activity duration reduction to achieve due date of PSC. Furthermore, the use of NTF as a constraint in MOINLP can solve the more general case for both simple and complex PSC problem. Base on the condition, we state that the basic MOP is still significant to solve the PSC complex problems using MOINLP as a sophisticated MOP technique.
Volume: 8
Issue: 6
Page: 5292-5302
Publish at: 2018-12-01

Hybrid Filter Scheme for Optimizing Indoor Mobile Cooperative Tracking System

10.12928/telkomnika.v16i6.10162
Rafina Destiarti; Institut Teknologi Telkom Purwokerto Ainul , Prima; Politeknik Elektronika Negeri Surabaya Kristalina , Amang; Politeknik Elektronika Negeri Surabaya Sudarsono
The precise indoor tracking system using Xbee signal strength protocol has become a potential research to the WSN applications. The main aspects for the success tracking system is accuracy performance based on location estimation. The improvement of location estimation is complicated issue, especially using RSSI with low accuracy due to the signal attenuation from multipath effect at indoor propagation. Hence, many existing research typically focused on specific methods for providing improvement schemes at tracking system area. Then, we propose hybrid filter schemes, including extended gradient filter (EGF) for filtering noise signal based distance modification, and modified extended Kalman filter (MIEKF) will be combined with trilateration for filtering the error position estimation. Using mobile cooperative tracking scenario refers to our previous work, the proposed hybrid filter scheme which is called modified iterated extended gradient Kalman filter (MIEGKF) can optimize the error estimation around 41.28% reduction with 0.63 meters MSE (mean square error) value.
Volume: 16
Issue: 6
Page: 2536-2548
Publish at: 2018-12-01

Factors Influencing Cloud Computing in Telecommunications Companies

10.11591/ijeecs.v12.i3.pp1334-1339
Raed Wishah , Marwan Al-Nsour , Malek Alharafsheh , Saleh AlKhalaileh , Farah Alshbeekat
This study aims to identify the role of cloud computing in achieving success in e-governance in Jordan. This paper investigates the effect of four accomplishment aspects (availability, flexibility, cost saving and scalability) for executing cloud computing technology in telecommunication companies on Jordan e-governance implementation. A questionnaire was developed to collect data from respondents working for the three-main public mobile telephone network operators: Zain, Orange and Umniah. The Statistical Package for Social Sciences program was used in the descriptive analysis of the responses. The results show that all four success factors have a high level of impact, separately and together, on e-governance in Jordan. Cost saving has the highest impact, followed by scalability, availability and flexibility. Based on these results, the study makes some suggestions for further research that could enrich understanding of the implementation of cloud computing and its effect on egovernance in Jordan.
Volume: 12
Issue: 3
Page: 1334-1339
Publish at: 2018-12-01

Stress, Nutritional Status and Blood Glucose Levels among Patients with Diabetes Mellitus Type 2

10.11591/ijphs.v7i4.14914
Dyah Ayu Kusuma Wardani , Sugiarto Sugiarto , Risya Cilmiaty
Prevalence of diabetes mellitus (DM) was increased significantly. Stress increased cortisol could increase blood glucose levels while obesity could increase insulin resistance. Objective of this study was to examine correlation of stress and nutritional status with blood glucose levels in patients with DM type 2. Design study was cross sectional using 120 samples from patients with DM type 2 at Polyclinic of Internal Disease Dr. Moewardi Hospital Surakarta during April-May 2018. Variables in this study were stress with perceived stress scale 10 items (PSS-10), nutritional status with body mass index (BMI) and blood glucose levels with fasting blood glucose (FBG) and post-prandial blood glucose (PPBG) examination. The results showed that mean of FBG was 152.9±63.66 mg/dL and PPBG was 213.96±70.17 mg/dL. There was no significant correlation between stress and blood glucose levels, by FBG (p=0.389) and PPBG (p=0.202). However, there was significant correlation between nutritional status and PPBG (p=0.016), but FBG was not significant (p=0.209). In conclusion, there was significant correlation between nutritional status and PPBG in patients with DM type 2, but FBG was not significant. However, there was no significant correlation between stress and blood glucose levels in patients with DM type 2.
Volume: 7
Issue: 4
Page: 283-288
Publish at: 2018-12-01

Empowering E-governance with E-voting

10.11591/ijeecs.v12.i3.pp1081-1086
Amarjeet Singh , Ramakanth Kumar P , Nagaraj G Cholli
Advances in Information and Communications Technology (ICT) have impacted the society in many ways. Be it education, healthcare, media or governance, the transformation is visible. As individual entities like education or healthcare systems have already implemented ICT to certain extent, e-governance is yet to make a significant progress even though several initiatives are undertaken. E-governance means activities like voting, administration, financial transaction etc., are enabled using automation systems.  This paper discusses one part of the e-governance; e-voting. As e-voting empowers government, there are lot of challenges in implementing the e-voting system considering security threats and confidentiality involved in it. Online voting (e-voting) needs to be deployed as more convenient, relatively secure and less resource consuming system.   E-voting system should ensure convenience for people to be able to access the system from personal or public computer with security and confidentiality. The presence of e-voting system with all the necessary security measures and convenience can be a potential solution for low voter turnout at the polls.  The presented work demonstrates an online e-voting prototype system called SecureV. The proposed model achieves specific tasks namely, maintaining the anonymity of the voter, encryption of the vote, integrity check and avoids second time voting.
Volume: 12
Issue: 3
Page: 1081-1086
Publish at: 2018-12-01

An Accurate and Efficient Scheduler for Hadoop MapReduce Framework

10.11591/ijeecs.v12.i3.pp1132-1142
D C Vinutha , G.T Raju
MapReduce is the preferred computing framework used in large data analysis and processing applications. Hadoop is a widely used MapReduce framework across different community due to its open source nature. Cloud service provider such as Microsoft azure HDInsight offers resources to its customer and only pays for their use. However, the critical challenges of cloud service provider is to meet user task Service level agreement (SLA) requirement (task deadline). Currently, the onus is on client to compute the amount of resource required to run a job on cloud. This work present a novel makespan model for Hadoop MapReduce framework namely OHMR (Optimized Hadoop MapReduce) to process data in real-time and utilize system resource efficiently. The OHMR present accurate model to compute job makespan time and also present a model to provision the amount of cloud resource required to meet task deadline. The OHMR first build a profile for each job and computes makespan time of job using greedy approach. Furthermore, to provision amount of resource required to meet task deadline Lagrange Multipliers technique is applied. Experiment are conducted on Microsoft Azure HDInsight cloud platform considering different application such as text computing and bioinformatics application to evaluate performance of OHMR of over existing model shows significant performance improvement in terms of computation time. Experiment are conducted on Microsoft Azure HDInsight cloud. Overall good correlation is reported between practical makespan values and theoretical makespan values.
Volume: 12
Issue: 3
Page: 1132-1142
Publish at: 2018-12-01

Intelligent Information System for Suspicious Human Activity Detection in Day and Night

10.11591/ijict.v7i3.pp117-123
J L Mazher Iqbal , S. Arun
The detection of human beings in a camera attracts more attention because of its wide range of applications such as abnormal event detection, person counting in a dense crowd, person identification, fall detection for care to elderly people, etc. Over the time, various techniques have evolved to enhance the visual information. This article presents a novel 3-D intelligent information system for identifying abnormal human activity using background subtraction, rectification, morphology, neural networks and depth estimation with a thermal camera and a pair of hand held Universal Serial Bus (USB) camera to visualize un-calibrated images. The proposed system detects strongest points using Speed-Up Robust Features (SURF). The Sum of Absolute Difference (SAD) algorithm match the strongest points detected by SURF. 3-D object model and image stitching from image sequences are carried out in the proposed work. A series of images captured from different cameras are stitched into a geometrically consistent mosaic either horizontally/vertically based on the image acquisition. 3-D image and depth estimation of un-calibrated stereo images are acquired using rectification and disparity. The background is separated from the scene using threshold approach. Features are extracted using morphological operators in order to get the skeleton. Junction points and end points of the skeleton image are obtained from the skeleton. Data set of abnormal human activity is created using supervised learning such as neural network with a thermal camera and a pair of webcam. The feature vector of an activity is compared with already created data set, if a match occurs the classifier detects abnormal human activity. Additionally the proposed algorithm performs depth estimation to measure real time distance of objects dynamically. The system use thermal camera, Intel computing stick, converter, video graphics array (VGA) to high-definition multimedia interface (HDMI) and webcams. The proposed novel intelligent information system gives 94% maximum accuracy and 89% minimum accuracy for different activities, thus it effectively detects suspicious activity during day and night.
Volume: 7
Issue: 3
Page: 117-123
Publish at: 2018-12-01

Knowledge and Attitudes on Fetal Anomalies among Pregnant Women in Teaching Hospital Mahamodara, Galle

10.11591/ijphs.v7i4.14234
K.T.G. Kanchana , P. Youhasan
Fetal anomalies significantly contribute towards neonatal mortality worldwide. In Sri Lanka major cause for neonatal deaths is fetal anomalies 41%. A Descriptive cross-sectional study was conducted in Antenatal clinic, Teaching Hospital, Mahamodara. An interviewer-administered, pretested questionnaire was used. Hundred and fifty pregnant women participated in this study. Majority; 105 (70%) were found in the age of below 30 years, and 80 (53.3%) educated up to G.C.E. Ordinary Level. 83 (53.3%) were multigravida and 93(62%) were planned pregnancies. Higher proportion of the participants; 92(61%) , 88(56.7%) and 123(82%) had good knowledge on the risk factors, pre conception care and on preventive actions related to birth defects respectively. Significant proportion (26.7%) had poor knowledge regarding birth defects. There are 143 (95.3%) of the participants interested to know more information on birth defects, 72% believed birth defects were due to evil spirits. Even though 52% of women did not want to terminate their pregnancy if they had a fetus with anomalies, 80.7% of them opined that the termination of pregnancy with birth defected should be legalized. The educational level, parity and planning of current pregnancy of the participants were significantly correlated (p < 0.05) with their knowledge on pre conception care, preventive actions, knowledge on risk factors on birth defects.
Volume: 7
Issue: 4
Page: 231-235
Publish at: 2018-12-01

Nurse’s Spiritual Care Competencies to Patient with End Stage Breast Cancer

10.11591/ijphs.v7i4.14742
Nurul Rezki Anisa , Kadek Ayu Erika , Rini Rachmawaty
Cancer has many side effects on patient’s physic and mostly on mental which may affect on their quality of life. Physically most patients feel fatigue, insomnia, anorexia, nausea, and vomit while mentally they feel emotional disturbances such as anxiety, stress, or depression. One of the methods to that appropriate to overcome both of the conditions is spiritual care. Many research found that because spiritual care associated with better wellbeing, less emotional disturbance, less substance abuse, greater social support, better health behaviours, so it has impact to longer survival periods. This research aimed to investigate nurse’s spiritual care competencies to patients with end stage cancer. This was descriptive study design employed Spiritual Care Competencies Scale (SCCS) instrument. A total sampling of 24 nurses working in Oncology department in Dr. Wahidin Sudirohusodo Hospital were recruited. This research found that there are 12 nurses (50 %) that work in oncology department have low competencies of spiritual care. Involving spiritual care is associated with better wellbeing and longer survival periods. Therefore, it is necessary to increase the competence of nurses on spiritual care in meeting the spiritual needs of patients with end stage breast cancer. A training of spiritual care can be an alternative for nurses to improve spiritual care in hospitals.
Volume: 7
Issue: 4
Page: 268-273
Publish at: 2018-12-01

A Novel Multipath Routing Ring Protocol Adapted for WMSN

10.11591/ijeecs.v12.i3.pp1045-1053
Bennani Mohamed Taj , Mhamed M. Ait Kbir
In this paper an enhanced protocol of multipath routing ring that is suitable for transferring images by making many upgrades. First, instead of using propagation between the layers, we use certain parameters such distance and delay to pick the next node of the lower layer. Then, we used an heterogeneous network, including sensors (capture and send images) and connectors (serve as a bridge to the sink). Finally, we used  the pyramid decomposition technique. To avoid congestion, we adjust  the number of levels based on the state of the network. To verify our protocol, we used Castalia simulator to simulate the real transmission conditions. Then, we compared it with GPSR protocol and the original Multipath routing ring protocol. Our proposed protocol proves its efficiency by transferring more images with better quality (PSNR) and consuming less energy compared to other protocols.
Volume: 12
Issue: 3
Page: 1045-1053
Publish at: 2018-12-01

A Tour Towards the Various Knowledge Representation Techniques for Cognitive Hybrid Sentence Modeling and Analyzer

10.11591/ijict.v7i3.pp124-134
Poonam Tanwar , T. V. Prasad , Kamlesh Dutt
Knowledge Representation (KR) is a fascinating field across several areas of cognitive science and computer science. It is very hard to identify the requirement of a combination of many techniques and inference mechanism to achieve the accuracy for the problem domain. This research attempted to examine those techniques, and to apply them to implement a Cognitive Hybrid Sentence Modeling and Analyzer. The purpose of developing this system is to facilitate people who face the problem of using English language in daily life.
Volume: 7
Issue: 3
Page: 124-134
Publish at: 2018-12-01

Factors Influencing Utilization of Cervical Cancer Screening Services in Kenya: The Case of Nyeri County

10.11591/ijphs.v7i4.15013
Gichogo Agnes Wangeci , David Macharia
Globally, cervical cancer continues to be a major cause of mortality and morbidity among women with developing countries accounting for more than 86% of the deaths from the disease. In Kenya, cervical cancer ranks as the second most frequent cancer among women: regrettably, with 80% of the cases presented during the late stages of the disease when the scope of successful treatment is limited. An opportunity to prevent occurrence of cervical cancer exists through cervical cancer screening for early detection and treatment of precancerous lesions before these develop to cancer. However, only a negligible proportion of women benefit from cervical cancer screening services in developing countries, including Kenya. The purpose of this descriptive survey study was to determine the factors influencing utilization of cervical cancer screening services; and focused on the women seeking maternal and family planning services at Central Provincial General Hospital, Kenya. The study established that, as in most developing countries, utilization of cervical cancer screening services was low, regardless of the women’s education level, autonomy in decision making and even good family support. The low level of awareness on the need for screening services and the long waiting time at the clinic for those seeking the services were identified as the two key issues that negatively influenced the utilization of the screening services, It is therefore recommended that the Ministry of Health and other agencies, including individuals of good will, collaborate in designing and implementing awareness campaigns through the media and other appropriate avenues, including one-to-one encounters, targeting both men and women in the communities. It is also recommended that the male partners support their women in accessing this vital life-saving service.
Volume: 7
Issue: 4
Page: 236-247
Publish at: 2018-12-01

Develop and Implementation of Solar Powered Ventilation System

10.11591/ijeecs.v12.i3.pp1211-1221
Hairol Nizam Mohd Shah , Zalina Kamis , Mohd Fairus Abdollah , Mohd Khairi Mohd Zambri , Faizil Wasbari , Nursabillilah Mohd Ali , Amirul Anwar Mat Shah
A ventilation system comprising a ventilator or fan to inhale fresh air from environment surrounding enters the cabin of a car where at the same time exhale the hot air to the outside. This invention system is using solar power integrate with the ventilation system in order to stabilize the thermal condition inside the car during sunny day. The solar power is chosen as it is reasonable due to its limitless and environmental friendly source just like mentioned in the previous objective of the project. In addition, a rechargeable battery is used to power the ventilator in the absence of the alternative energy during cloudy day or has obstacle like being shaded by buildings, trees and others. It is just like an extra supply during emergency case. This may prevent the lack of power energy supply for the system. A heat sensor is used as to detect targeted (high temperature) and desired temperature (drop temperature) inside the car. It is operatively connected to a logic circuit to measure environmental factor, wherein the controller (PIC Microcontroller) utilizes the measured environmental condition to allow the power supply to activate or deactivate the ventilator.
Volume: 12
Issue: 3
Page: 1211-1221
Publish at: 2018-12-01

Suicide Ideation, School Absenteeism and Physical Violence among Secondary School Students in Kampala, Uganda

10.11591/ijphs.v7i4.14589
Samuel Sendagala , John Senkusu , George William Lubwama , Danstan Bagenda , Micheal Muyonga , Wolfgang Hladik
School youth in many African countries face a range of non-infectious health risks, in addition to the infectious disease burden typical in resource-limited settings. We examined self-reported health behaviors associated with suicide ideation, school absenteeism and physical violence among secondary school students in Kampala, Uganda. We conducted a cross-sectional three-stage cluster-based survey among students aged >=15 years, and/or enrolled in forms 3–6 (grades 9-12) in 54 secondary schools in Kampala. Interview data were collected with a standardised electronic questionnaire through computer-assisted self-interviewing and results were weighted for sample design and non-response. Pearson’s chi-square and logistic regression methods were used for bivariate and multivariate analysis respectively. Bullying among female respondents was positively associated with suicide ideation (aOR=1.73). In multivariate analysis, suicidal ideation was positively associated with a lifetime exposure to illicit drug use (aOR=1.76), serious injury (aOR=1.67) or school absenteeism (aOR=1.46). School absenteeism was positively associated with serious injury (aOR=1.59), history of alcohol consumption (aOR=1.55), bullying (aOR=1.52) and suicide ideation (aOR=1.45). Serious injury (aOR=2.89), a life-time history of illicit drug use (aOR=2.65), recent history of having been bullied (aOR=2.38), physical activity (aOR=2.12), suicide ideation (aOR=1.58), school absenteeism (aOR=1.57) were associated with having been engaged in physical violence. Bullying, serious injury and illicit drug use were associated with suicidal ideation, school absenteeism and physical violence. Concerted efforts should be considered by education authorities, parents and the community to tackle these risky behaviors.  
Volume: 7
Issue: 4
Page: 293-302
Publish at: 2018-12-01
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