Articles

Access the latest knowledge in applied science, electrical engineering, computer science and information technology, education, and health.

Advanced Search
Filter Icon

Filters article

Years

FAQ Arrow
Single Year
Range Year
0
0

Source Title

FAQ Arrow

Authors

FAQ Arrow

28,188 Article Results

Research on Community Detection Algorithm Based on the UIR-Q

10.12928/telkomnika.v14i2.2685
Zilong; Wuhan University of Technology Jiang , Wei; Hubei Polytechnic University Dai , Liangchen; Wuhan University of Technology Chen , Xiufeng; Wuhan University of Technology Cao , Yanling; Wuhan University of Technology Shao
Aiming at the current problems of community detection algorithm in which user’s property is not used; the community structure is not stable and the efficiency of the algorithm is low, this paper proposes a community detection algorithm based on the user influence and its parallelization method. In terms of the concept of user influence in the subject communication and the PageRank algorithm, this paper uses the properties of nodes of users in social networks to form the user influence factors. Then, the user with the biggest influence is set as the initial node of new community and and the local modularity is introduced into detecting the community structure.  in order to make the result of community detection quick and efficient. Many experiments show that the improved algorithm can efficiently detect the community structure with large scale users and the results are stable. Therefore, this algorithm will have a wide applied prospect.
Volume: 14
Issue: 2
Page: 725-733
Publish at: 2016-06-01

Comparative Analysis of Spatial Decision Tree Algorithms for Burned Area of Peatland in Rokan Hilir Riau

10.12928/telkomnika.v14i2.3540
Putri; Bogor Agricultural University Thariqa , Imas Sukaesih; Bogor Agricultural University Sitanggang , Lailan; Bogor Agricultural University Syaufina
 Over one-year period (March 2013 – March 2014), 58 percent of all detected hotspots in Indonesia are found in Riau Province. According to the data, Rokan Hilir shared the greatest number of hotspots, about 75% hotspots alert occur in peatland areas. This study applied spatial decision tree algorithms to classify classes before burned, burned, and after burned from remote sensed data of peatland area in Kubu and Pasir Limau Kapas subdistrict, Rokan Hilir, Riau. The decision tree algorithm based on spatial autocorrelation is applied by involving Neigborhood Split Autocorrelation Ratio (NSAR) to the information gain of CART algorithm. This spatial decision tree classification method is compared to the conventional decision tree algorithms, namely, Classification and Regression Trees (CART),  C5.0, and C4.5 algorithm. The experimental results showed that the C5.0 algorithm generate the most accurate classifier with the accuracy of  99.79%. The implementation of spatial decision tree algorithm succesfuly improve the accuracy of CART algorithm.
Volume: 14
Issue: 2
Page: 684-691
Publish at: 2016-06-01

Cluster Analysis for SME Risk Analysis Documents Based on Pillar K-Means

10.12928/telkomnika.v14i2.2385
Irfan; Bogor Agricultural University Wahyudin , Taufik; Bogor Agricultural University Djatna , Wisnu Ananta; Bogor Agricultural University Kusuma
In Small Medium Enterprise’s (SME) financing risk analysis, the implementation of qualitative model by giving opinion regarding business risk is to overcome the subjectivity in quantitative model. However, there is another problem that the decision makers have difficulity to quantify the risk’s weight that delivered through those opinions. Thus, we focused on three objectives to overcome the problems that oftenly occur in qualitative model implementation. First, we modelled risk clusters using K-Means clustering, optimized by Pillar Algorithm to get the optimum number of clusters. Secondly, we performed risk measurement by calculating term-importance scores using TF-IDF combined with term-sentiment scores based on SentiWordNet 3.0 for Bahasa Indonesia. Eventually, we summarized the result by correlating the featured terms in each cluster with the 5Cs Credit Criteria. The result shows that the model is effective to group and measure the level of the risk and can be used as a basis for the decision makers in approving the loan proposal. 
Volume: 14
Issue: 2
Page: 674-683
Publish at: 2016-06-01

Object Recognition Based on Maximally Stable Extremal Region and Scale-Invariant Feature Transform

10.12928/telkomnika.v14i2.2754
Hongjun; Suzhou University Guo , Lili; Suzhou University Chen
For the defect in describing affine and blur invariable of scale-invariant feature transform (SIFT) at large viewpoint variation, a new object recognition method is proposed in this paper, which used maximally stable extremal region (MSER) detecting MSERs and SIFT describing local feature of these regions. First, a new most stability criterion is adopt to improve the detection effect at irregular shaped regions and under blur conditions; then, the local feature descriptors of MSERs is extracted by the SIFT; and finally, the method proposed is comparing then correct rate of SIFT and the proposed through image recognition with standard test images. Experimental results show that the method proposed can still achieve more than 74% recognition correct rate at different viewpoint, which is better than SIFT.
Volume: 14
Issue: 2
Page: 622-629
Publish at: 2016-06-01

Improved Output Voltage Quality using Space Vector Modulation for Multilevel Inverters

10.12928/telkomnika.v14i2.3111
Auzani; Universiti Teknikal Malaysia Melaka Jidin , Syamim; Universiti Teknikal Malaysia Melaka Sanusi , Tole; Universitas Ahmad Dahlan Sutikno , Nik Rumzi; Universiti Teknologi Malaysia Nik Idris
Space vector modulation (SVM) has received wide acceptance due to many benefits over other techniques such as higher output voltages, lower total harmonic distortion (THD), high-efficiency and flexible to be implemented in vector control systems. In digital implementation, the SVM equations can be optimally computed by eliminate the use of complex forms. In this paper, the simple SVM based on two-level inverter is employed for higher levels of inverters. This is to retain the simplicity of SVM computation for three-level and five-level cascaded H-bridge multilevel inverter (CHMI). Moreover, the proposed method utilizes two controller boards to perform high computational workloads and to eliminate glitch and error problems. Experiment results show that the THD of output voltage in five-level CHMI gives the smallest value among the results obtained from other levels.
Volume: 14
Issue: 2
Page: 387-389
Publish at: 2016-06-01

Development of Coastal Radar Network at Sunda Strait

10.12928/telkomnika.v14i2.2497
Sulistyaningsih; Indonesian Institute of Sciences (LIPI) Sulistyaningsih , Mashury; Indonesian Institute of Sciences (LIPI) Wahab , Dadin; Indonesian Institute of Sciences (LIPI) Mahmudin , Deni; Indonesian Institute of Sciences (LIPI) Permana , Yudi Yulius; Indonesian Institute of Sciences (LIPI) Maulana , Topik Teguh; Indonesian Institute of Sciences (LIPI) Estu
In this paper, development on a coastal surveillance Radar network, which is called ISRA (Indonesian Sea Radar), is presented. This Radar network was developed for surveillance at the Sunda Strait. The radar network monitors the sea traffics and activities at the Sunda Strait, which an international shipping route. There were three Radars installed for this network. All these Radars in this research use FM-CW (Frequency Modulated Continuous Wave) technology. This FM-CW has an advantage of low power consumption, low cost of operational, longer life time and high reliability. Another important feature of this Radar is the LPI (Low Probability of Intercept) capability, where the signal transmission of this Radar cannot be easily detected by a Radar detector (electronic support measure) so that this Radar can be used for a covert operation. Detected targets by Radars are shown on the display and on the web based display for the Radar network. These three Radars on the remote sites can be monitored and controlled via an internet connection from the control room in our Bandung office, which is 300 KMs away. The results of this research and development show the Indonesian capability to build a complex system such as a chain of coastal surveillance Radar network. The knowledge obtained from this research will be used to develop more advanced Radars for different applications.
Volume: 14
Issue: 2
Page: 507-514
Publish at: 2016-06-01

Dual DC Motor Speed Control Based on Two Independent Digital PWM Signals using PIC16F877A Microcontroller

10.11591/ijeecs.v2.i3.pp592-606
Ayman Y. Yousef , M. H. Mostafa
In this paper a dual open loop speed control system based on two independent PWM signals of small permanent magnet DC (PMDC) motors using PIC16F877A microcontroller (MCU) has been designed and implemented. The Capture/Compare/PWM (CCP) modules of the MCU are configured as PWM mode and the MCU is programmed using flowcode software package to generate two PWM signals with various duty cycles at the same frequency. A dual H-bridge channel chip SN754410 is used to drive the motors. The variation of PWM duty cycles is related directly to controlling the DC motors terminal voltage which directly proportional with speed of each motor. The complete PWM control system model has been simulated using proteus design suite software package. The development of hardware and software of the dual DC motor speed control system has been explained and clarified.
Volume: 2
Issue: 3
Page: 592-606
Publish at: 2016-06-01

Hierarchical i* Modeling in Requirement Engineering

10.12928/telkomnika.v14i2.3333
Kridanto; Institute of Technology Bandung Surendro , Cicely Martini; Institute of Technology Bandung Asihwardji
Requirement engineering is the earliest phases of the development process of information systems in which there is a process to understand the needs of system users and formulate it into a format that facilitates the process of analysis. Requirement engineering approach through intentional perspective is one of the arguments that appear in the field. In intentional modeling, the focus will lie on the motive of every actor, how each actor can achieve their motives, and what dependencies present in order to achieve that motive. Some existing intentional modeling still has some limitations. Modeling is still having complexity problem when it will be used to model real-world situations that are quite large. Another disadvantage is how to describe the hierarchical conditions in intentional modeling. This research is to develop existing intentional modeling, in order to overcome limitations in describing the hierarchical conditions.
Volume: 14
Issue: 2
Page: 784-790
Publish at: 2016-06-01

Fusion of Infrared and Visible Images Based on Non-subsample Contourlet Transform

10.12928/telkomnika.v14i2.2749
Tingman; Yan’an University Zhang , Qing; Xi’an University of Technology Wang
For the single spectrum image could not fully express the target feature information, this paper proposed a multispectral image fusion method based on non-subsample contourlet transform (NSCT). For the low frequency coefficients decomposed, fourth-order correlation coefficient is used to calculate the correlation between each low frequency coefficients, averaging fusion for the higher correlation coefficient, weight phase congruency fusion for the low correlation coefficient. For high frequency coefficients, Gaussian weight sum modified Laplace method is used for fusing, to retain more local structure details. Simulation results show that the method effectively retain the image structure information and more local details, and increase the image contrast.
Volume: 14
Issue: 2
Page: 613-621
Publish at: 2016-06-01

A Short Review on the Development of Salt Tolerant Cultivars in Rice

10.11591/ijphs.v5i2.4786
Samiullah Khan , Muhammad Arshad Javed , Nusrat Jahan , Fazilah Abd Manan
Rice is staple food for half of the world. With a population of almost 9.6 billion by the year 2050, there is a dire need of developing techniques to improve the crop plants, not only in terms of better yield but also to withstand harsh environmental conditions and stresses like drought, temperature, flood and salinity. Salinity is second to drought stress and hence it is very important to develop crops tolerant to salinity stress. This review discusses the mechanisms of salt tolerance and the recent developments in understanding the complex tolerance phenomena. One way to address the salinity issue is to develop tolerant rice varieties using conventional and modern breeding techniques for which screening the rice germplasm for the varieties with desired traits is critical. Conventional methods to develop tolerant rice varieties are discussed along with modern biotechnology techniques are also discussed. Quantitative Trait Loci (QTL) and Marker Assisted Selection (MAS) are promising techniques. In addition to these modern techniques, some recent developments in the fields of transgenic plants, haploid breeding and Somaclonal variations have also been discussed. The limited knowledge about molecular and genetic mechanisms to tolerate abiotic stresses, however is a barrier to efficiently develop tolerant cultivars. A combination of conventional and modern biotechnology techniques could possibly open up the new ways.
Volume: 5
Issue: 2
Page: 201-212
Publish at: 2016-06-01

Investigations of Latrine Coverage and Associated Factors Among Debretabor Town, Amhara Region North West Ethiopia

10.11591/ijphs.v5i2.4777
Yilkal Tafere , Mirkuzie Woldie , Henok Assefa
Studies in a number of countries have shown that wherever inappropraite waste disposal morbidity and mortality rates are high. Although latrine coverage is an important indicator for measuring success of the health service program; data on latrine coverage scarce in the study area. Objective: To investigate latrine coverage and associated factors in among households of Debretabor town, Amhara region, Ethiopia. Methods: A community based cross sectional study was conducted in Debretabor town from September 1-30, 2013. A total of 422 households were included in the study using systematic sampling technique. Data were collected using structured questionnaire and analyzed using SPSS version 16.0. Degree of association between independent and dependent variables was assessed with a 95% confidence level and p-value less than 0.05 was used to detect statistical significance. Result: In this study. Ninety three point five percent of households have latrine. Graduated as model family was predictor for availability of latrine (AOR= 3.18,). Income and house ownership were also found to be predictors for availability of latrine (AOR=3.70), (AOR=8.46), respectively. Educational status of respondents was found to be predictors for availability of latrine (AOR= 2.65). Conclusion:  latrine coverage was relatively lower from the national target of 100%, still there are households that use open defication. Educational status, house owner shipe, income and graduated as model family were main factors affecting latrine availability. Improving socio economic status of households, provision of continuous advice and technical support at household level on the availability of latrine are recommended.
Volume: 5
Issue: 2
Page: 137-141
Publish at: 2016-06-01

Organizational Commitment Can Improve Compliance of Blood Transfusion Procedure

10.11591/ijphs.v5i2.4784
Edi Murwani , Stefanus Supriyanto , Suharto Suharto
The purpose of this research was to improve compliance of nurses and midwives on blood transfusion procedures through increased organizational commitment. The study used observational analytic with cross sectional approach. 156 nurses and midwives who meet the inclusion and exclusion criteria agreed to participates respondents and 46 observers agrees involved in the collection of data through informed consent. The sampling technique was simple random sampling. Data instrument collectors in the form of checklists and questionnaires. Analysis of the data used in the form of descriptive analysis, correlation, and Structural Equation Modeling (SEM). Based on the findings of a new model, a model compliance nurses and midwives on blood transfusion procedures, organizational commitment can improve compliance procedure of blood transfusion if affective commitment and normative commitment improved.
Volume: 5
Issue: 2
Page: 183-192
Publish at: 2016-06-01

The Impact of Surgical Site Infection to the Health Care Cost

10.11591/ijphs.v5i2.4775
Triani Marwati , A.A. Subiyanto , Totok Mardikanto , Priyambodo Priyambodo , Marsiana Wibowo , Nurul Qomariyah
Surgical Site Infection (SSI) is the most common cause of nosocomial infections. The incidence of SSI is ranging between 14 - 16% of the entire incident of nosocomial infections in hospitalized patients. The objectives of this study were to determine the relationship between knowledge, attitude, infrastructure and behavior of health personnel to prevent SSI and to determine the amount of additional costs for hospital care as a result of SSI. This study used a mixed method research. Quantitative research conducted with descriptive analytic design with cross sectional approach. Quantitative data was analyzed by univariate and bivariate analysis. Qualitative research was used to measure additional cost due to SSI. Health personnel showed good knowledge about SSI prevention (89.6%), good attitude towards SSI prevention (57%), assessed good for hospital infrastructure (93.8%), but only 55.2% showed good behavior to prevent SSI. There were no relationship between knowledge and attitudes of health personnel, and hospital infrastructure with health personnel behavior to prevent SSI. Additional cost due to SSI was IDR 18,375,000 for each patient.
Volume: 5
Issue: 2
Page: 129-133
Publish at: 2016-06-01

Electric Price Forecast using Interbreed Approach of Linear Regression and SVM

10.11591/ijeecs.v2.i3.pp537-544
Deepak Saini , Akash Saxena
Electricity price forecasting is a hypercritical issue due to the involvement of consumers and producers in electricity markets. Price forecasting plays an important role in planning and managing economic operations related with the electrical power (bidding, trading) and other decisions related with load shedding and generation rescheduling. It is also useful for optimization in electrical energy trade. This paper explores an interbreed technique based on Support Vector Machine (SVM) and linear regression to predict the day ahead electricity price using historical data as a raw insert. Different 27 linear regression models are formed to create initial framework for forecasting engine. Comparison of the performance of different forecasting engines is carried out on the basis of error indices namely Mean Square Error (MSE), Sum Square Error (SSE) and other conventional error indices. A detailed explanation of linear regression system based model is presented and simulation results exhibit that the proposed learning method is able to forecast electricity price in an effective manner.
Volume: 2
Issue: 3
Page: 537-544
Publish at: 2016-06-01

Two Wheeled Robot Self Balancing Control Research

10.11591/ijeecs.v2.i3.pp617-624
Ni Dan , Jingfang Wang
According to movement balancing and position control problem of Self Balancing Two Wheeled Robot, a method based on H∞ Robust Control was proposed. We apply it onto the MIMO nonlinear model of robot, and simulated it in the MATLAB environment The simulation results shows that the robot can be balanced in fixed position well by this method, and also it have the ability to anti interference.
Volume: 2
Issue: 3
Page: 617-624
Publish at: 2016-06-01
1 2 3
...
1879 1880
Show 1539 of 1880

Discover Our Library

Embark on a journey through our expansive collection of articles and let curiosity lead your path to innovation.

Explore Now
Library 3D Ilustration