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30,938 Article Results

Performance Enhancement of Wideband Reflectarray Antennas Embedded on Paper Substrate Materials

10.12928/telkomnika.v16i6.9595
M. Y.; Universiti Tun Hussein Onn Malaysia (UTHM) Ismail , H. I.; Universiti Tun Hussein Onn Malaysia (UTHM) Malik
This research presents an innovative solution to address the bandwidth limitation of microstrip reflectarray antennas. Organic substrate materials with controlled compositions have been characterized to be employed as substrate materials for microstrip reflectarrays. The three proposed materials show low dielectric permittivity values of 1.81, 1.64 and 1.84 along with loss tangents of 0.053, 0.047 and 0.057 respectively. The proposed substrate materials have been verified by modelling reflectarray unit elements in CST MWS and measured using a waveguide simulator technique. The comparison between measured and simulated results show a good agreement with promising broadband performance of 312, 340 and 207 MHz for S1, S2 and S3 substrate materials respectively.
Volume: 16
Issue: 6
Page: 2616-2621
Publish at: 2018-12-01

Detection and Monitoring Intra/Inter Crosstalk in Optical Network on Chip

10.11591/ijece.v8i6.pp4912-4921
Ahmed Jedidi
Multiprocessor system-on-chip (MPSoC) has become an attractive solution for improving the performance of single chip in objective to satisfy the performance growing exponentially of the computer applications as multimedia applications. However, the communication between the different processors’ cores presents the first challenge front the high performance of MPSoC. Besides, Network on Chip (NoC) is among the most prominent solution for handling the on-chip communication. Besides, NoC potential limited by physical limitation, power consumption, latency and bandwidth in the both case: increasing data exchange or scalability of Multicores. Optical communication offers a wider bandwidth and lower power consumption, based on, a new technology named Optical Network-on-Chip (ONoC) has been introduced in MPSoC. However, ONoC components induce the crosstalk noise in the network on both forms intra/inter crosstalk. This serious problem deteriorates the quality of signals and degrades network performance. As a result, detection and monitoring the impairments becoming a challenge to keep the performance in the ONoC. In this article, we propose a new system to detect and monitor the crosstalk noise in ONoC. Particularly, we present an analytic model of intra/inter crosstalk at the optical devices. Then, we evaluate these impairments in objective to present the motivation to detect and monitor crosstalk in ONoC, in which our system has the capability to detect, to localize, and to monitor the crosstalk noise in the whole network. This system offers high reliability, scalability and efficiency with time running time less than 20 ms.
Volume: 8
Issue: 6
Page: 4912-4921
Publish at: 2018-12-01

Secure Code Generation for Multi-Level Mutual Authentication

10.12928/telkomnika.v16i6.10437
Gregor Alexander; Al-Mustansiriyah University Aramice , Jaafar Qassim; Al-Mustansiriyah University Kadhim
Any secured system requires one or more logging policies to make that system safe. Static passwords alone cannot be furthermore enough for securing systems, even with strong passwords illegal intrusions occur or it suffers the risk of forgotten. Authentication using many levels (factors) might complicate the steps when intruders try to reach system resources. Any person to be authorized for logging-in a secured system must provide some predefined data or present some entities that identify his/her authority. Predefined information between the client and the system help to get more secure level of logging-in. In this paper, the user that aims to log-in to a secured system must provide a recognized RFID card with a mobile number, which is available in the secured systems database, then the secured system with a simple algorithm generates a One-Time Password that is sent via GSM Arduino compatible shield to the user announcing him/her as an authorized person.
Volume: 16
Issue: 6
Page: 2643-2650
Publish at: 2018-12-01

Secure and Efficient Bi-Directional Proxy Re-Encyrption Technique

10.11591/ijeecs.v12.i3.pp1143-1150
Chandrakala B M , S C Linga Reddy
The low cost availability of smart devices and broadband connection has led to rapid growth of communication over Internet. As of today the internet based communication service is widely used in various application services such as in E-Mail transaction of sensitive data (medical data), online money transaction etc. all these services requires a strong security. There has been continuous ongoing research by various cryptanalyst to enhance security of cryptography especially in semi-untrusted server. However, performance, computation time and ease of use play a significant role in using the algorithm for implementation. Proxy re-encryption plays a significant role in protecting data that are stored in semi-untrusted server. Many existing Proxy re-encryption technique induces high computation overhead due to adoption of public key cryptography such RSA (Rivet Shamir Adleman), ECC (Elliptical Curve Cryptography) etc. and it suffer from quantum attack. To address this lattice based cryptography is adopted by various approaches which is based on Learning With Error which shows resilience against quantum attacks such Chosen Cipher data attack and Chosen Plain Text attack. The drawback with existing lattice cryptography based approach is that they are unidirectional and adopts bilinear pairing which compromise security and induces high computation cost. To address this work present a Bidirectional Proxy Re-encryption scheme by adopting lattice based cryptography technique. Experiment is conducted for computation overhead by varying key and data size which attained significant performance improvement over existing Proxy Re-encryption scheme.
Volume: 12
Issue: 3
Page: 1143-1150
Publish at: 2018-12-01

The Readiness of Palm Oil Industry in Enterprise Resource Planning

10.12928/telkomnika.v16i6.9883
Darius; Bina Darma University Antoni , Deni; Bina Darma University Fikari , Muhamad; Bina Darma University Akbar , Ferry; Edith Cowan University Jie
The palm oil industry is one of the sources of non-oil and gas foreign exchange of Indonesia. It contributes to National Gross Domestic Product at 13.96% in 2017. This study aims to examine the readiness of palm oil industry in the implementation of Enterprise Resources Planning (ERP). The readiness of palm oil industry in implementing ERP, is not only about a large cost, but also the ERP has required great resources including human respurces, technology, management, and process and data. Thus, it should fit the needs of the industry. Using the Critical Success Factors (CSF) method, this study employs five dimensions of the ERP readiness, that is management, process, technology, data, and personnel. A survey research method is employed to acquire the data and there are 19 items for those five dimensions. A gap analysis is employed to analyse the data and this method is used to determinethe disparity between existing conditions and future expectations. The findings reveal that the palm oil industry is well prepared to implement the ERP from four dimensions of management, technology, process and personnel.The management factor is the one of an factor of readiness in the ready category together with other factors including process, and human resources. Technology is the best factor which has led to increasing demands for building a strong information technology infrastructure to integrate business processes. The company needs to complete the master data onto the database and change the database system integrated into a single database that causes data is lack of ready data in ERP implementation.
Volume: 16
Issue: 6
Page: 2692-2702
Publish at: 2018-12-01

Optimization Learning Vector Quantization Using Genetic Algorithm for Detection of Diabetics

10.11591/ijeecs.v12.i3.pp1111-1116
Inggih Permana , Nesdi Evrilyan Rozanda , Fadhilah Syafria , Febi Nur Salisah
This study proposed the method to improve the result of Learning Vector Quantization (LVQ) by optimizing the weight vectors using a genetic algorithm (GA) to detect the diabetics. Initial value of individuals for GA is taken from weight vectors which come from the last m iterations of LVQ training result. The result of experiment showed that there is a significant increase in sensitivity level, however there is a significant decrease in specificity level. It means the proposed method success in improving the LVQ ability to recognized the diabetics, but it lowers the ability of LVQ to recognize the people unaffected by diabetes.This study proposed the method to improve the result of Learning Vector Quantization (LVQ) by optimizing the weight vectors using a genetic algorithm (GA) to detect the diabetics. Initial value of individuals for GA is taken from weight vectors which come from the last m iterations of LVQ training result. The result of experiment showed that there is a significant increase in sensitivity level, however there is a significant decrease in specificity level. It means the proposed method success in improving the LVQ ability to recognized the diabetics, but it lowers the ability of LVQ to recognize the people unaffected by diabetes.
Volume: 12
Issue: 3
Page: 1111-1116
Publish at: 2018-12-01

The Application of General MOS Gas Sensors for Discriminating Formalin Content

10.12928/telkomnika.v16i6.10363
Arief; Jenderal Soedirman University Sudarmaji , Budi; Muria Kudus University Gunawan , Shoufika; Muria Kudus University Hilyana , Henry; Jenderal Soedirman University Fernando , Agus; Jenderal Soedirman University Margiwiyatno
This paper describes the application of Metal Oxide Semiconductor (MOS) gas sensors which are intrinsically designed to sense volatile compounds for measuring the vapor of formalin. We utilized 7 commercial MOS gas sensors (namely TGS-2600, TGS-2602, TGS-2620, TGS-813, MQ-137, MQ-135, and MQ-5) to sense formalin in certain concentrations and their presence in meat. We built a static headspace system to measure the vapor of formalin. The sensor chamber is 540-cm3, made from 5 mm acrylic. The output of MOS (Sensitivity ratio) is acquired into computer using an Arduino-based interface. We tested 3 concentrations of formalin (10%, 20% and 30%) and their presence in meat. We found that individually each sensor provides proportional response to formalin concentrations, and for their presence in meat as well. The Principle Component Analysis (PCA) method is used to show performance of the array MOS sensor in discriminating the formalin contents. The PCA result shows that by using two PCs (holding most 96% data), it can clearly distinguish the three formalin contents. However the array sensors just can discriminate clearly between meat containing formalin and those not. The success rate of discrimination the formalin contents in meat is 91.7%.
Volume: 16
Issue: 6
Page: 2905-2912
Publish at: 2018-12-01

Eigenvalue of Analytic Hierarchy Process as The Determinant for Class Target on Classification Algorithm

10.11591/ijeecs.v12.i3.pp1257-1264
Mustakim Mustakim , Novia Kumala Sari , Jasril Jasril , Ismu Kusumanto , Nurul Gayatri Indah Reza
Data mining has two main concepts of data distribution, namely supervised learning and unsupervised learning. The most easily recognizable concepts from data distribution is related to the dataset, with and without target class. Analytic Hierarchy Process (AHP) technique that carries the concept of pairwise comparison able to answer the problem related to the dataset, which is to change unsupervised to be supervised by determining eigenvalue value of each attribute and sub attribute in AHP method. The case study conducted in this issue is related to determining the target classes used to predict the success of a student learning in UIN Suska Riau. The three main attributes are Procrastination, Total Credits (SKS) and Number of Repeated Courses, each having eigenvalues of 0.319; 0.189 and 0.171 which become the feedback in the determination of the Target Timely Graduation (TG) or Possibility of Timely Graduation (PTG). The biggest consistency ratio generated in the AHP case is 9.4% in the GPA attribute. This research recommends that further research should use datasets that have been arranged based on experimental combinations of the three main attributes above, then applied to the classification or prediction algorithm. So that it would obtain a decision of accuracy from data used against the real result on the field.
Volume: 12
Issue: 3
Page: 1257-1264
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

Stochastic Computing Correlation Utilization in Convolutional Neural Network Basic Functions

10.12928/telkomnika.v16i6.8955
Hamdan; Universiti Teknologi Malaysia Abdellatef , Mohamed Khalil; Universiti Teknologi Malaysia Hani , Nasir Shaikh; Universiti Teknologi Malaysia Husin , Sayed Omid; Universiti Teknologi Malaysia Ayat
In recent years, many applications have been implemented in embedded systems and mobile Internet of Things (IoT) devices that typically have constrained resources, smaller power budget, and exhibit "smartness" or intelligence. To implement computation-intensive and resource-hungry Convolutional Neural Network (CNN) in this class of devices, many research groups have developed specialized parallel accelerators using Graphical Processing Units (GPU), Field-Programmable Gate Arrays (FPGA), or Application-Specific Integrated Circuits (ASIC). An alternative computing paradigm called Stochastic Computing (SC) can implement CNN with low hardware footprint and power consumption. To enable building more efficient SC CNN, this work incorporates the CNN basic functions in SC that exploit correlation, share Random Number Generators (RNG), and is more robust to rounding error. Experimental results show our proposed solution provides significant savings in hardware footprint and increased accuracy for the SC CNN basic functions circuits compared to previous work.
Volume: 16
Issue: 6
Page: 2835-2843
Publish at: 2018-12-01

Transfer Function, Stabilizability, and Detectability of Non-autonomous Riesz-spectral Systems

10.12928/telkomnika.v16i6.10112
Sutrima; Sebelas Maret University Sutrima , Christiana Rini; Gadjah Mada University Indrati , Lina; Gadjah Mada University Aryati
Stability of a state linear system can be identified by controllability, observability, stabilizability, detectability, and transfer function. The approximate controllability and observability of non-autonomous Riesz-spectral systems have been established as well as non-autonomous Sturm-Liouville systems. As a continuation of the establishments, this paper concern on the analysis of the transfer function, stabilizability, and detectability of the non-autonomous Riesz-spectral systems. A strongly continuous quasi semigroup approach is implemented. The results show that the transfer function, stabilizability, and detectability can be established comprehensively in the non-autonomous Riesz-spectral systems. In particular, sufficient and necessary conditions for the stabilizability and detectability can be constructed. These results are parallel with infinite dimensional of autonomous systems.
Volume: 16
Issue: 6
Page: 3024-3033
Publish at: 2018-12-01

Statistical Tuning Chart for Mapping Porosity Thickness: a Case Study of Channel Sand Bodies in the Kutei Basin Reservoir

10.12928/telkomnika.v16i6.9660
Abdul; Universitas Indonesia Haris , Agus; Universitas Indonesia Riyanto , Sri; Universitas Indonesia Mardiyati
Reservoir assessment is not only controlled by the structural framework but also stratigraphical features. Stratigraphical interpretation, which is related to seismic amplitude interpretation, is used to describe petrophysical aspects of channel sand reservoirs such as net porosity and thickness. This paper aims to map the porosity thickness for a case study of channel sand bodies reservoir in the Kutei basin. The study area is complex channel reservoir system that appears to occupy specific area within the depositional system. The geometry of the sediment channel, which thins toward the channel margins, makes this feature similar to be wedge model that could possibly be influenced by tuning effects. The tuning effects introduce pitfall in interpreting high-quality reservoir that is affected by contrasts in acoustic impedance. In order to distinguish high amplitude responses caused by tuning effects and acoustic properties, the analysis of amplitude responses needs to be correlated to the reservoir thickness. The statistical tuning chart is one of the techniques used to correlate amplitude responses and the reservoir thickness. The application of this technique to real data sets shows net porosity thickness map over the targeted reservoir. Thus, high-quality reservoir characterization can be performed to delineate geometric framework of the reservoir.
Volume: 16
Issue: 6
Page: 2676-2682
Publish at: 2018-12-01

A Compact Reconfigurable Dual Band-Notched Ultra-Wideband Antenna using Varactor Diodes

10.12928/telkomnika.v16i6.11552
Sam Weng; Universiti Teknikal Malaysia Melaka (UTeM) Yik , Zahriladha; Universiti Teknikal Malaysia Melaka (UTeM) Zakaria , Herwansyah; Universiti Teknikal Malaysia Melaka (UTeM) Lago , Noor Azwan; Universiti Teknikal Malaysia Melaka (UTeM) Shairi
In this paper, a reconfigurable dual band-notched ultra-wideband (UWB) antenna is presented. The antenna design consists of a circular shape with two pairs of the L-resonator. To realize the notch characteristics in WLAN at 5.2 GHz and 5.8 GHz bands, the half wavelength of the L-resonator is introduced in the design. The T-shaped notch is etched in the ground to enhance the bandwidth which covers the UWB operating frequency range from 3.219 – 10.863 GHz. The proposed reconfigurable dual band-notched UWB antenna shows good impedance matching for the simulated in the physical layout. Furthermore, the proposed antenna has a compact size of 37.6 x 28 mm2. This proposed reconfigurable design can provide an alternative solution for the wireless system in the designing of a band-notched antenna with a good tuning capability.
Volume: 16
Issue: 6
Page: 2557-2562
Publish at: 2018-12-01

Particle Filter with Integrated Multiple Features for Object Detection and Tracking

10.12928/telkomnika.v16i6.9466
Muhammad; Institut Teknologi Sepuluh Nopember Attamimi , Takayuki; The University of Electro-Communications Nagai , Djoko; Institut Teknologi Sepuluh Nopember Purwanto
Considering objects in the environments (or scenes), object detection is the first task needed to be accomplished to recognize those objects. There are two problems needed to be considered in object detection. First, a single feature based object detection is difficult regarding types of the objects and scenes. For example, object detection that is based on color information will fail in the dark place. The second problem is the object’s pose in the scene that is arbitrary in general. This paper aims to tackle such problems for enabling the object detection and tracking of various types of objects in the various scenes. This study proposes a method for object detection and tracking by using a particle filter and multiple features consisting of color, texture, and depth information that are integrated by adaptive weights. To validate the proposed method, the experiments have been conducted. The results revealed that the proposed method outperformed the previous method, which is based only on color information.
Volume: 16
Issue: 6
Page: 3008-3015
Publish at: 2018-12-01

Design of Dual Band Microstrip Antenna for Wi-Fi and WiMax Applications

10.12928/telkomnika.v16i6.10016
Raad H.; Almustansiryiah University Thaher , Zainab S.; Almustansiryia University Jamil
 In this paper, a dual band rectangular microstrip patch antenna with microstrip line is presented. The proposed antenna is designed on FR4 substrate with thickness 1.5 mm and relative permittivity 4.3. The antenna is designed to operate at 2.4/5.8 GHz bands for Wi-Fi/WiMax applications. The obtained return loss is -32.77dB at 2.4 GHz with 7.4% bandwidth and -25.955 dB at 5.8 GHz with 8.17% bandwidth. The practical and simulation result are computed. It is noted that there is a good agreement between the simulation and measured result (using vector network analyzer (VNA)).
Volume: 16
Issue: 6
Page: 2864-2870
Publish at: 2018-12-01
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