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24,092 Article Results

Early Model of Student's Graduation Prediction Based on Neural Network

10.12928/telkomnika.v12i2.47
Budi; STMIK BANJARBARU Rahmani , Hugo; STMIK BANJARBARU Aprilianto
Predicting  timing  of  student  graduation  would  be  a valuable  input  for  the  management  of  a  Department  at  a University. However, this is a difficult task if it is done manually.  With  the  help  of  learning  on  the  existing Artificial  Neural  Networks,  it  is  possible  to  provide training  with  a  certain  configuration,  in  which  based  on experience of previous graduate  data,  it would be possible to predict the time grouping of a student’s graduation. The input of  the system is the performance index  of  the first, second,  and  third  semester.  Based  on  testing  performed  on 166  data,  the  Artificial  Neural  Networks  that  have  been built were able to predict with up to 99.9% accuracy. 
Volume: 12
Issue: 2
Page: 465-474
Publish at: 2014-06-01

Internet of Things as Intimating for Pregnant Women’s Healthcare: An Impending Privacy Issues

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/3510
Mir Sajjad Hussain Talpur , Murtaza Hussain Shaikh , Riaz Ali Buriro , Hira Sajjad Talpur , Fozia Talpur , Hina Shafi , Munazza Ahsan Shaikh
Ingeniously, the innovations are taking place in current medical era, where IoT is a key and its related technology plays a dynamic role in pregnant women care taking inside hospital and outside. IoT ensure the effective and efficient care of pregnant women in any environment because intelligent tiny devices like RF-Tags, sensors are attached with pregnant women, and all the activities of pregnant women can be monitored by professional medical staff from anywhere and anytime. The usage of these advanced technologies in pregnant women care environment, absolutely eradicates the pregnancy complications and harmful incidents, but also raises privacy, religious, ethical, legal and social issues. The purpose of this paper is to discuss the usage of IoT in pregnant women healthcare environments and articulates endorsements to promote research then can guarantee that the pregnant women’s privacy is preserved. DOI : http://dx.doi.org/10.11591/telkomnika.v12i6.4227
Volume: 12
Issue: 6
Page: 4337-4344
Publish at: 2014-06-01

Planar Finger-Shaped Antenna used in Ultra-Wideband Wireless Systems

10.12928/telkomnika.v12i2.71
Rashid Ali; Universiti Malaysia Perlis Fayadh , Mohd Fareq; Universiti Malaysia Perlis A. Malek , Hilal; Universiti Malaysia Perlis A. Fadhil , Fwen Hoon; Universiti Malaysia Perlis Wee
Recently, extensive requirements have developed for ultra-wideband (UWB) technology that provides high activity and small size for use in small communication systems, remote sensing, and radar applications. Thus, we concentrated with high-resolution radar UWB antenna to cover Federal Communication Commission’s (FCC) standard UWB range (3.1-10.6 GHz). The proposed ideal-size and low-cost finger-shaped patch antenna of 24 mm x 19 mm printed on 40 mm x 35 mm rectangular Taconic TLY-5 material was designed and established through experiments and simulations. Results show that the two cut notches of 1.5 mm x 2 mm at the bottom corners of the patch can increase the bandwidth. To increase the radiation area and achieve more resonance frequencies, two cut slots at the top edge of the patch were designed in depth of 10 mm. Four parameters were considered in the analysis of the proposed antenna design, namely the feeder width, number of slots, number of notches, and feed gap space. The simulated and measured results of the main antenna parameters make the design suitable in applications of UWB wireless systems.
Volume: 12
Issue: 2
Page: 419-428
Publish at: 2014-06-01

A Dominance Degree for Rough Sets and Its Application in Ranking Popularity

10.11591/ijeecs.v12.i6.pp4814-4824
Jia Zhao , Jianfeng Guan , Changqiao Xu , Hongke Zhang
Rough set theory is used in data mining through complex learning systems and uncertain information decision from artificial intelligence. For multiple attribute decision making, rough sets employ attribute reduction to generate decisive rules. However, dynamic information databases, which record attribute values changing with time, raise questions to rough set based multiple attribute reduction. This paper proposes a dynamic attribute based dominance degree for rough-set-based ranking decision. According to the dominance relations between two objects in dynamic information table, we propose three judgments and their judging values to get a dominance degree value, by which we can deny or approve of the dominance relations. Then we use the dominance-degree-based rough set to make dynamic attribute reduction. We applied this method in ranking popularity of network service resources. and extract ranking decision rules. Experiments show comparison between the searching engines with and without the ranking function and the efficiency of rough set ranking by our proposed dominance degree value.
Volume: 12
Issue: 6
Page: 4814-4824
Publish at: 2014-06-01

Multi-focus Image Fusion with Sparse Feature Based Pulse Coupled Neural Network

10.12928/telkomnika.v12i2.66
Yongxin; School of Information Science and Technology, Northwest University, Xi’an 710127 Zhang , Li; School of Information Science and Technology, Northwest University, Xi’an 710127 Chen , Zhihua; School of Information Science and Technology, Northwest University, Xi’an 710127 Zhao , Jian; School of Information Science and Technology, Northwest University, Xi’an 710127 Jia
In order to better extract the focused regions and effectively improve the quality of the fused image, a novel multi-focus image fusion scheme with sparse feature based pulse coupled neural network (PCNN) is proposed. The registered source images are decomposed into principal matrices and sparse matrices by robust principal component analysis (RPCA). The salient features of the sparse matrices construct the sparse feature space of the source images. The sparse features are used to motivate the PCNN neurons. The focused regions of the source images are detected by the output of the PCNN and integrated to construct the final fused image. Experimental results show that the proposed scheme works better in extracting the focused regions and improving the fusion quality compared to the other existing fusion methods in both spatial and transform domain.
Volume: 12
Issue: 2
Page: 357-366
Publish at: 2014-06-01

Multiple-Input Single-Output Wireless Power Transmission System for Coal Mine

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/3542
Duan Zhao , Enjie Ding , Xin Wang
In Wireless Power Transmission (WPT) systems, the proportion of energy received by the load is critical and the efficiency is the more significant parameter. The magnetic multiple input algorithms as well as many multiple overlapping coils structures in the transmitter side are proposed for the coal mine Internet of the Things (IOT) nodes. Different phase shifts cases for the input signal were considered to study their effect on the efficiency. Simulation results showed that the axial component of magnetic induction resulted from the multiple overlapping coils structure has preferable homogeneous distribution over the traditional single input coil. The proposed system achieved an efficiency value of 60 % for a receiver placed 40 cm away from a 4 coils transmitter comparing to an efficiency value of 50% for the same distance using a single coil transmitter. Simulation results shows that the proposed model is well adapted for the movable charging mode for the IOT nodes in coal mine. DOI : http://dx.doi.org/10.11591/telkomnika.v12i6.5439
Volume: 12
Issue: 6
Page: 4572-4578
Publish at: 2014-06-01

Construction and Application of Virtual Reality Geographic Information System

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/3512
Ke Xi-Lin , Guo Qing-Sheng , Zhang Yue-Peng , Zhou Yan
In the paper, virtual reality geographic information system is discussed and the related technologies involves the concept, characteristics, classification, key technology, and the main application and development situation , it analyzes the virtual reality technology and the necessity of combining geographical information system technology. As to the design and development process of the whole system, including the system's user interface, system requirements, the structure of the system design, system development model and related technology are discussed in this paper. In view of the virtual reality geographic information system technology, the 3-D (three Dimensional) spatial data acquisition, 3-D data model and digital terrain model and digital elevation model and 3-D data of level of detail model and the expression of 3-D data visualization, etc, on the basis of theoretical research, with the help of a professional virtual reality modeling software MultiGen Creator, it builts the scenic spot of the 3-D environment. And it presents the virtual scene modeling process on the basis of MultiGenCreator complex modeling, the implementation plan, scene modeling method are also given out. DOI : http://dx.doi.org/10.11591/telkomnika.v12i6.4872
Volume: 12
Issue: 6
Page: 4353-4360
Publish at: 2014-06-01

Estimating Object Location using Particle Clustering on Rotating Sonar Detection

10.12928/telkomnika.v12i2.56
Harindra Wisnu; Universitas Diponegoro Pradhana , Suryono; Universitas Diponegoro Suryono , Achmad; Universitas Diponegoro Widodo
Particle filter been used for localization and position estimation with various applications. Several method applied in order to reduce the complexity of particle information to lower processing resource requirement while providing a precise map. Sonar sensor provide a range precision with poor bearing. Partial observation applied to gain estimation of object location using several measurement from multiple vantage point. This paper propose grouping of detection particle from sonar sensor using clustering method in order to provide estimated object position from a single vantage point. The approach estimate objects using euclidean distance treshold to separate one object detections from the other and group all the detection particle into cluster containing a set of number. As a result of particle clustering, object location can be estimated with their respective weight of certainty as an attribution for further decision making.
Volume: 12
Issue: 2
Page: 291-296
Publish at: 2014-06-01

Thermal Simulation and Experiment of Lunar Drill Bit in Vacuum

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/3565
Jinsheng Cui , Xuyan Hou , Deming Zhao , Yousong Hou , Qiquan Quan , Xiang Wu , Zongquan Deng , Shengyuan Jiang , Dewei Tang
Drilling samples of lunar soil is an important and indispensable part of China’s lunar exploration project. The drill bit temperature during the drilling process is one of the key concerns for scholars, especially for the hard lunar rock drilling in vacuum. In this article, the simulation analysis of drilling in atmosphere and vacuum is conducted. Moreover, a fiber grating temperature measuring system integrated with vacuum drilling system is established. Experiment on lunar rock stimulant in atmosphere and vacuum is taken out and compared. DOI : http://dx.doi.org/10.11591/telkomnika.v12i6.5496
Volume: 12
Issue: 6
Page: 4756-4763
Publish at: 2014-06-01

Information Technology Governance Framework in the Public Sector Organizations

10.12928/telkomnika.v12i2.51
Lanto Ningrayati; Universitas Negeri Gorontalo Amali , M.; Universiti Utara Malaysia Mahmuddin , Mazida; Universiti Utara Malaysia Ahmad
This paper discusses the framework of IT (Information Technology) governance in the public sector organizations and the factors that contribute to the implementation of IT governance in the province of Gorontalo, Indonesia. The problem that occurs is the absence of such a framework which can provide the basis, functions and limits for the efficient use of IT resources, IT strategic alignment and the management of risk in public organizations. Descriptive approach used to identify the processes and the factors that contribute to the implementation of IT governance. This study shows that the form of the IT governance framework ensuring success is related to achieving organizational goals, strategic alignment, resource management, and risk management in the Indonesian public sector, especially to the province of Gorontalo. The strategic role of IT governance can be an effective solution for making more consistent and transparent decisions about strategies and IT investments in public sectors.
Volume: 12
Issue: 2
Page: 429-436
Publish at: 2014-06-01

Two Novel Retinal Blood Vessel Segmentation Algorithms

https://ijece.iaescore.com/index.php/IJECE/article/view/5590
Razieh Akhavan , Karim Faez
Assessment of blood vessels in retinal images is an important factor for many medical disorders. The changes in the retinal vessels due to the pathologies can be easily identified by segmenting the retinal vessels. Segmentation of retinal vessels is done to identify the early diagnosis of the disease like glaucoma, diabetic retinopathy, macular degeneration, hypertensive retinopathy and arteriosclerosis. In this paper, we propose two automatic blood vessel segmentation methods. The first proposed algorithm starts with the extraction of blood vessel centerline pixels. The final segmentation is obtained using an iterative region growing method that merges the contents of several binary images resulting from vessel width dependent modified morphological filters on normalized retinal images. In the second proposed algorithm the blood vessel is segmented using normalized modified morphological operations and neuro fuzzy classifier. Normalized morphological operations are used to enhance the vessels and neuro fuzzy classifier is used to segment retinal blood vessels. These methods are applied on the publicly available DRIVE database and the experimental results obtained by using green channel images have been presented and their results are compared with recently published methods. The results demonstrate that our algorithms are very effective methods to detect retinal blood vessels.DOI:http://dx.doi.org/10.11591/ijece.v4i3.5829
Volume: 4
Issue: 3
Page: 398-410
Publish at: 2014-06-01

Structural Intensity Simulation of Bolt Joints in Vibration Environment

10.11591/ijeecs.v12.i6.pp4876-4881
Yongjuan Zhang , Guoying Zeng , Dengfeng Zhao
The paper a nonlinear model of bolt joints structure in vibration environment is built, including the friction, contact and so on complex nonlinear factors. Structure Intensity (SI) of it is calculated by Finite Element Method（FEM）as an approach for the state identification of bolts joints structure in vibration environment. The plots of the structure intensity vector under different tightening torque were obtained and showed the SI changes of bolt joints structure with different tightening torque, and showed the energy distribution and transmission at different tightening torque.In order to compare, The SI maps of of rigid connected beam at different tightening torque also were obtained.
Volume: 12
Issue: 6
Page: 4876-4881
Publish at: 2014-06-01

Research on Warehouse Target Locating and Tracking Based on EKF and UKF

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/3501
Bian Guangrong , Kong Fancheng , Zhang Honghai , Cao Jinrong , Shi Hongyan
The paper firstly established the warehouse target locating and tracking system model based on wireless sensor networks. The principle of Location and tracking is applying maximum likelihood estimation algorithm of multilateral measurement method to calculating the coordinates of the unknown node. According to monitoring motion trajectory of the same unknown target node within a continuous period of time, the motion equation can be established. When the state equation of warehouse target tracking system is non-linear, EKF and UKF filtering algorithm are respectively applied to acquiring the state estimate of the warehouse target motion equation, so as to achieve the effective tracking of warehouse target. DOI : http://dx.doi.org/10.11591/telkomnika.v12i6.5063
Volume: 12
Issue: 6
Page: 4264-4273
Publish at: 2014-06-01

A Novel Control Architecture for Mission Re-Planning of AUV

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/3545
Rubo Zhang , Haibo Tong , Changting Shi
A hierarchical control architecture for mission re-planning of autonomous underwater vehicle (AUV) navigating in uncertain ocean environment is presented in this paper. The proposed component-oriented control architecture structured is made of three parts: situation reasoning, re-planning trigger and hierarchical re-planning layer. Situation reasoning using the unstructured real-word information obtained by sorts of sensor detectes and recognizes uncertain event.The re-planning trigger decides the re-planning level by the event types and influence degree. Hierarchical re-planning layer contains mission re-planning, task re-planning and behavior re-planning. Different re-planning level depends on the result of re-planning trigger. Preliminary versions of the architecture have been integrated and tested in a simulation environment. Experiment indicates that the novel control architecture can implement mission re-planning steady and safty. DOI : http://dx.doi.org/10.11591/telkomnika.v12i6.5442
Volume: 12
Issue: 6
Page: 4596-4602
Publish at: 2014-06-01

The Determinants and Subsequent Effect of Self-Rated Health Status on Survival among Elderly Americans

10.11591/ijphs.v3i2.4677
Guangming Han
The main aim of this study is to explore the patterns, determinants and subsequent mortality prediction of change in self-rated health in the elderly American population. To achieve this purpose, we constructed logistic regression models and Cox proportional hazard regression models with the complex survey dataset from the National Second Longitudinal Study of Aging (LSOA II) to calculate the odds ratios (OR)/ hazard ratios (HR) and confidence intervals (CI) of risk factors. Our results show that chronic disease condition and difficulty in daily activities are the main reasons for change in self-rated health status. Furthermore, change in self-rated health has significant impact on survival function in the elderly populations. When change in self-rated health status was considered, self-rated health was a stronger and more flexible predictor of mortality for elderly populations. These findings will provide important information to establish effective strategies for prolonging lifespan by improving self-rated health status for elderly populations.
Volume: 3
Issue: 2
Page: 69-80
Publish at: 2014-06-01
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