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INDONESIA
Indonesian Journal of Electrical Engineering and Computer Science
Published by Institute of Advanced Engineering and Science
ISSN : 25024752     EISSN : 25024760     DOI : -
Core Subject :
Arjuna Subject : -
Articles 9,199 Documents
 413   414   415   416   417 
A Heuristic Algorithm based on Combinatorial Optimization Problem in Content Distribution Networks Jun-fang Guo
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 3: March 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Content Distribution Network (CDN) is an effective approach to improve the quality of Internet service. This paper firstly reviews some of the related works which have contributed to the current state of-the-art; the focus is on the fundamental assumptions, mathematical models and specific references to solution approaches. What’s more, a mathematical programming formulation based on combinatorial optimization problem in content distribution networks is proposed, and then a corresponding heuristic algorithm for this optimization problem is given, the total cost of this model is studied in CDN. Finally, the theoretical analysis shows that the proposed algorithm performs better than previous algorithms DOI : http://dx.doi.org/10.11591/telkomnika.v12i3.4536
Smart soil monitoring and water conservation using irrigation on technology George Fernandez s; Vijayakumar K; Kalyanasundaram V; Vidyasagar S; Selvakumar K; Selvabharathi D; Palanisamy R
Indonesian Journal of Electrical Engineering and Computer Science Vol 19, No 1: July 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v19.i1.pp99-107

Abstract

The conventional system of irrigation how efficient and well managed it may be wastes up to 50% of the water supplied. purpose of this paper is to provide a user-oriented and standalone irrigation solution for soil monitoring and water conservation, based on network of sensor. Using the input from the user the system will act automatically. It not only reduce the water waste but also is cost efficient and easy to operate. Different parameters like soil moisture, temperature and humidity are imported in order to calculate the efficient quantity of water needed. This system uses different sensors like soil moisture sensor, humidity sensor and temperature sensor to take required data. In this paper, the proposed project uses sensor having low power consumption reducing load overall. The system also stores the input and uses it for forecasting. The concept of IoT is implied in this paper. The control of motors are automated powered by solar panels. The data is stored in table format. All data is accessible via internet. This system can help the user to gain vital data about the fields irrespective of the weather condition.
QoS hybrid uplink scheduler based on service type for M2M communications in LTE networks Mariyam Ouaissa; Abdallah Rhattoy
Indonesian Journal of Electrical Engineering and Computer Science Vol 14, No 3: June 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v14.i3.pp1460-1470

Abstract

The introduction of Machine-to-Machine (M2M) communications in cellular networks creates a new set of challenges because of the unique service requirements and features of M2M devices. One of these challenges is the management of radio resources, especially on the uplink because of the unfairness and poor performance that occurs when allocating resources to users. Long Term Evolution (LTE) and LTE-Advanced (LTE-A) are excellent candidates for supporting M2M communications because of their native IP connectivity and scalability for a variety of devices. Therefore, LTE schedulers should be able to meet the needs of M2M devices such as time constraints and specific Quality of Service (QoS) requirements. In this paper, these constraints are studied and analyzed, focusing on three schedulers; they are Round Robin (RR), First Maximum Expansion (FME) and Maximum Throughput (MT). These methods do not provide QoS to users who use different types of traffic flows. The solution proposed in this work is a hybrid model between two schedulers each of them is the best scheduling solution for the real-time service and the other for the non-real-time service, in order to meet QoS criteria maximizing throughput and minimizing packet loss. Video and voip were selected as real-time traffic and best effort for non-real time. The simulations results show that the proposed scheduler reaches the lowest Packet Loss Rate (PLR), delivering highest throughput and goodput among the other strategies.
An Efficient Imaging Strategy for Single Pixel Camera in Earth Observation Chuanrong Li; Qi Wang; Changyong Cao; Lingling Ma
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 6: June 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i6.pp4794-4801

Abstract

Single pixel camera is a new imaging device that develops from the “ghost” imaging and compressive sensing theory. For high resolution imaging with large amount of data, the process of measurement and reconstruction is time-consuming, which limits its application to remote sensing area. Based on the analysis of the configuration of the single pixel camera, an efficient imaging strategy through combining different numbers of DMD mirrors and local imaging was proposed which is able to image the interested target in high resolution with low time cost. Simulation experiment was carried out for two different types of targets, i.e., three-line target image and the scene consisting of a ship in the ocean. Three types of images, in low, middle and high resolution, are reconstructed respectively by the control of DMD working area and the strategy to combining DMD mirrors. The reconstructed images reached the application requirements at very low measurement and reconstruction time cost. The effectiveness and practicality of this strategy could be applied to other compressive sensing imaging devices.
An Agent-based Improved Task Decomposition Model for Multiple Expert Systems Li Yang; Xiedong Cao; Jie Li
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 10: October 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

To solve task decomposition of multi-expert system, agent-based task decomposition model and algorithm based on dependency is introduced. Firstly, AND/OR dependency graph for operation set is presented. Formal description of task decomposition based on With AND/OR dependency graph, is proposed. Secondly, task decomposition algorithm based on operation dependency is analyzed to solve communication among agents. Analysis of algorithm performance and instance are discussed, collaboration work flow between expert agents are analyzed and  can solve the collaboration problem among expert-agents very well. For illustration, expert system for oil-gas reservoir protection is utilized to verify the effectiveness of the method. Finally, multi-expert system based on our proposed algorithm shows that our proposed model has good time and space efficiency, and support task dynamic decomposition and can effectively solve the collaboration of experts in the multiple-expert system and improve the accuracy of inference. DOI: http://dx.doi.org/10.11591/telkomnika.v11i10.2539
Fault disturbances classification analysis using adaptive neuro-fuzzy inferences system Shahrani Shahbudin; Murizah Kassim; Roslina Mohamad; Saiful Izwan Suliman; Yuslinda Wati Mohamad Yusof
Indonesian Journal of Electrical Engineering and Computer Science Vol 16, No 3: December 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v16.i3.pp1196-1202

Abstract

This paper affords the use of neuro-fuzzy technique called the Adaptive Network–based Fuzzy Inference System (ANFIS) to highlight its ability to perform fault disturbances classification tasks using extracted features based on S-transforms methods. The ANFIS model with a five-layered architecture was trained using extracted features to classify signal data comprising various faults disturbances, namely, voltage sag, swell, impulsive, interruption, notch, and pure signal.  Results obtained showed that the ANFIS model is very suitable and can generate excellent classification results provided that the right type and number of Membership Functions (MFs) are used in the classification task.
Medical Image Retrieval Based on Shape Features in DCT Domain Ling Xia; Zhi Peng; AnDong Cai; Haibin Wang
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 2: February 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

Compressed medical images are widely used in clinical teaching and diagnosis. To save computing cost and storage spaces, research on compressed medical image retrieval is meaningful. This paper proposes a novel medical image retrieval scheme in DCT (Discrete Cosine Transformation) compressed domain. We firstly obtain the multi resolution image by reorganizing the DCT coefficients, then, segment the medical image’s ROI (Region of Interest) and acquires the shape binary image in DCT compressed domain. We use Hu invariant moments to extract shape feature vectors, and measure the similarity by weighting method. Experiments were carried out on an image database which contains 1000 medical CT images. The experimental results show that this algorithm can correctly extract shape features of ROI and get good retrieval performance on JPEG medical images. DOI : http://dx.doi.org/10.11591/telkomnika.v12i2.4413 
Omni-Directional Impact Micro switch with Extended Holding Time Shuangjie Liu; Yongping Hao
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 5: May 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

The Omni-directional impact MEMS switch was designed and characterized for the purpose of impact sensing. In order to turn on the circle reliably, the connect time should be long enough, the structure of flexible electrode was designed to extend the holding time. The structure consists of electrode A and B, electrode A is the sensing mass simultaneously, the sensing mass is suspended by helix cantilever that is fixed to the pedestal, the outer ring is the electrode B, which is suspended by helix cantilever that is fixed to the outer frame. Between the two electrodes, there is a gap, the gap separates electrode A and B, thereby keeping the switch in the open state. The distortion during the impact process extended the contact time. The dynamics of the switch is simulated, the simulation results show that the response time of the switch is 0.135ms, it is short enough, and the contact time which is also called holding time is about 20, the extended time make the switch turn on more reliably. These results satisfy the required specifications for the ammunition systems. DOI: http://dx.doi.org/10.11591/telkomnika.v11i5.2473
Modelling of Faulty Three Phase Induction Motor by Field Orientation M. Jannati; N. R. N. Idris; M. J. A. Aziz
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 12: December 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i12.pp8069-8076

Abstract

This study investigates the simple vector control of a 3-phase squirrel cage Induction Motor (IM) under open-circuit fault (faulty 3-phase IM). It was shown that it is needed to supply the stator windings with unbalanced currents to remove the oscillating term of the machine electromagnetic torque. The vector control system is based upon Field-Oriented Control (FOC) that has been adapted for this type of machine. Simulation results are provided to show the operation of the proposed drive system.
Eyelids, eyelashes detection algorithm and houghtransform method for noise removal in iris recognition Bounegta Nadia; Bassou Abdessalam; Beladgham Mohamed
Indonesian Journal of Electrical Engineering and Computer Science Vol 18, No 2: May 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v18.i2.pp731-735

Abstract

The biometric system is based on human’s behavioral and physical characteristics. Among all of these, iris has unique structure, higher accuracy and it can remain stable over a person’s life. Iris recognition is the method by which system recognize a person by their unique identical feature found in the iris. Iris recognition technology includes four subsections as, capturing of the iris image, segmentation, extraction of the needed features and matching. This paper is a detail description of eyelids; eyelashes detection technique and Hough transform method applied on iris image. 

Page 415 of 920 | Total Record : 9199

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