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31,456 Article Results

Enabling relay selection in non-orthogonal multiple access networks: direct and relaying mode

10.12928/telkomnika.v18i2.13313
Dinh-Thuan; Industrial University of Ho Chi Minh City (IUH) Do , Minh-Sang V.; Industrial University of Ho Chi Minh City (IUH) Nguyen
In this paper, we consider downlink non-orthogonal multiple access (NOMA) in which the relay selection (RS) scheme is enabled for cooperative networks. In particular, we investigate impact of the number of relays on system performance in term of outage probability. The main factors affecting on cooperative NOMA performance are fixed power allocations coefficients and the number of relay. This paper also indicate performance gap of the outage probabilities among two users the context of NOMA. To exhibit the exactness of derived formula, we match related results between simulation and analytical methods. Numerical results confirms that cooperative NOMA networks benefit from increasing the number of relay.
Volume: 18
Issue: 2
Page: 587-594
Publish at: 2020-04-01

Failed handoffs in collaborative Wi-Fi networks

10.12928/telkomnika.v18i2.14894
Cesar; Universidad Distrital Francisco José de Caldas Hernandez , Diego; Universidad Distrital Francisco Jose de Caldas Giral , C.; Universidad Distrital Francisco Jose de Caldas Salgado
Cognitive radio networks enable a more efficient use of the radioelectric spectrum through dynamic access. Decentralized cognitive radio networks have gained popularity due to their advantages over centralized networks. The purpose of this article is to propose the collaboration between secondary users for cognitive Wi-Fi networks, in the form of two multi-criteria decision-making algorithms known as TOPSIS and VIKOR and assess their performance in terms of the number of failed handoffs. The comparative analysis is established under four different scenarios, according to the service class and the traffic level, within the Wi-Fi frequency band. The results show the performance evaluation obtained through simulations and experimental measurements, where the VIKOR algorithm has a better performance in terms of failed handoffs under different scenarios and collaboration levels.
Volume: 18
Issue: 2
Page: 669-675
Publish at: 2020-04-01

Advancement in infotainment system in automotive sector with vehicular cloud network and current state of art

10.11591/ijece.v10i2.pp2077-2087
Reshma S. , Chetanaprakash Chetanaprakash
The automotive industry has been incorporating various technological advancement on top-end versions of the vehicle order to improvise the degree of comfortability as well as enhancing the safer driving system. Infotainment system is one such pivotal system which not only makes the vehicle smart but also offers abundance of information as well as entertainment to the driver and passenger. The capability to offer extensive relay of service through infotainment system is highly dependent on vehicular adhoc network as well as back end support of cloud environment. However, it is know that such legacy system of vehicular adhoc network is also characterized by various problems associated with channel capacity, latency, heterogeneous network processing, and many more. Therefore, this paper offers a comprehensive insight to the research work being carried out towards leveraging the infotainment system in order to obtain the true picture of strength, limitation, and open end problems associated with infotainment system.
Volume: 10
Issue: 2
Page: 2077-2087
Publish at: 2020-04-01

A secure image steganography based on JND model

10.11591/ijece.v10i2.pp2088-2096
Tuan Duc Nguyen , Dung Huu Le
Minimizing distortion produced by embedding process is very important to improve the security of hidden message and maintain the high visual quality of stego images. To achieve these objectives, an effective strategy is to perform pixel selection which is well-known as a channel selection rule. In this approach, a pixel associated with the smallest image degradation is chosen to carry secret bits. From these facts, in this paper, a new secure channel selection rule for digital images in spatial domain is designed and proposed. In this new approach, the modified matrix embedding method is utilized as data hiding method because it introduces more than one embedding change to be performed. This enables us to select a suitable pixel to embed message bits with less degradation yielded in a stego-image. In pixel selection of the proposed method, a just noticeable difference value and gradient value of a considering pixel are employed together. The experimental results (which were conducted on 10,000 uncompressed images) indicate that stego images of the proposed approach achieve a higher perceptual quality and security than those of the stego-images created by the previous approaches.
Volume: 10
Issue: 2
Page: 2088-2096
Publish at: 2020-04-01

Dynamic multiagent method to avoid duplicated information at intersections in VANETs

10.12928/telkomnika.v18i2.13947
Mohammed I.; Universiti Tun Hussein Onn Malaysia Habelalmateen , A. H.; Universiti Tun Hussein Onn Malaysia Abbas , L.; Universiti Tun Hussein Onn Malaysia Audah , N.; Universiti Tun Hussein Onn Malaysia A. M. Alduais
Vehicular ad hoc networks (VANETs) allow vehicles to contact one another to provide safety and comfort applications. However, mobility is a great challenge in VANETs. High vehicle speed causes topological changes that result in unstable networks. Therefore, most previous studies focused on using clustering techniques in roads to reduce the effect of vehicle mobility and enhance network stability. Vehicles stop moving at intersections, and their mobility does not impact clustering. However, none of previous studies discussed the impact of vehicle stopping at intersections on base stations (BSs). Vehicles that have stopped moving at intersections continue to send the same information to BSs, which causes duplicated information. Hence, this study proposes a new method named dynamic multiagent (DMA) to filter cluster information and prevent duplicated information from being sent to BSs at intersections. The performance of the proposed method was evaluated through simulations during the use of DMA and without-DMA (W-DMA) methods based on real data collected from 10 intersections in Batu Pahat City, Johor, Malaysia. Overall, the proposed DMA method results in a considerable reduction in duplicated information at intersections, with an average percentage of 81% from the W-DMA method.
Volume: 18
Issue: 2
Page: 613-621
Publish at: 2020-04-01

A performance of radio frequency and signal strength of LoRa with BME280 sensor

10.12928/telkomnika.v18i2.14843
Puput; Universitas Merdeka Malang Dani Prasetyo Adi , Akio; Kanazawa University Kitagawa
LoRa is a Radio Frequency module that can send packet data up to 3 km in FSPL.LoRa has 3 different Frequency Radios i.e, 915 MHz, 868 MHz, and 433 MHz. LoRa testing is based on different distances, BME280 provides Barometric Pressure, Temperature, and Humidity data. An analysis from the results of the Received Signal Strength to the distance (m) to the farthest point to prove and provide QoS data from LoRa 915 MHz. Sensor nodes are built using ADR and Automatic sleep mode algorithms. Communication systems between nodes are built dynamic sensor nodes in mesh networking. Monitoring signal transferring on the 915 MHz Frequency waveform is carried out using the Textronix Spectrum analyzer. Based on the BME280 Data packet transmission from the LoRa 915 MHz Transmitter to the Receiver Receiver at a distance of 100m is -84 dBm and at a distance of 500m is -107 dBm. The LoRa Internet Gateway has 2 types of settings, i.e, application, and gateway, this setting is to find out the location of the gateway with longitude and latitude. Furthermore, the gateway holds Sensor data from the End node, while the Application Server displays sensor data in the form of Graphics in realtime.
Volume: 18
Issue: 2
Page: 649-660
Publish at: 2020-04-01

Optimal tuning linear quadratic regulator for gas turbine by genetic algorithm using integral time absolute error

10.11591/ijece.v10i2.pp1367-1375
Jamal M. Ahmed
For multiple input-multiple output (MIMO) systems, the most common control strategy is the linear quadratic regulator (LQR) which relies on state vector feedback. Despite this strategy gives very good result, it still has trial and error procedure to select the values of its weight matrices which plays a important role in reaching to the desiered system performance. In order to overcome this problem, the Genetic algorithm is used. The design of genetic algorithm based linear quadratic regulator (GA-LQR) utilized Integral time absolute error (ITAE) as a cost function for optimization. The propsed procedure is implemented on a linear model of gas turbine to control the generator spool’s speed and the output power.
Volume: 10
Issue: 2
Page: 1367-1375
Publish at: 2020-04-01

A compact UWB monopole antenna with penta band notched characteristics

10.12928/telkomnika.v18i2.14542
Majed O.; Al-Balqa Applied University Al-Dwairi , Amjad Y.; Al-Balqa Applied University Hindi , Mohamed S.; Taif University Soliman , Mohammad F.; Al-Balqa Applied University Aljafari
A modified rectangular monopole ultra-wideband (UWB) antenna with penta notched frequency bands is presented. An inverted U shaped and slanted U-shaped on the radiating patch are inserted to achieve WiMAX and ARN bands rejection respectively, two mirrored summation Σ-shaped and four mirrored 5-shaped slots are inserted on the partial ground to achieve WLAN and X-band bands rejection respectively, finally rectangular shaped slot with partially open on the feed is inserted to achieve ITU-8 band rejection. The proposed antenna which was simulated has a compact size 30×35×1.6 m3. It is operated with impedance bandwidth 2.8-10.6 GHz at |S11| < −10 dB, that supported UWB bandwidth with filtering the five narrowbands that avoid the possible interference with them. The simulated resonant frequency for notched filters received 3.55, 4.55, 5.53, 7.45, 8.16 GHZ, for WiMAX, ARN, WLAN, X-Band, ITU-8 respectively. The proposed antenna is suitable for wireless communication such as mobile communication and internet of everything (IoE). Throughout this paper, CST-EM software package was used for the design implementation. Surface current distributions for all notched filters were investigated and shown that it is concentrated around the feeding point and the inserted notched slots proving that there is no radiation to the space due to maximum stored electromagnetic energy around each investigated notch slot, proving that the slots play a role of a quarter wavelength transformer which generates for each notched band, maximum gain, and radiation pattern are also investigated.
Volume: 18
Issue: 2
Page: 622-630
Publish at: 2020-04-01

Genomic repeats detection using Boyer-Moore algorithm on Apache Spark Streaming

10.12928/telkomnika.v18i2.14883
Lala Septem; Universitas Pendidikan Indonesia Riza , Farhan Dhiyaa; Universitas Pendidikan Indonesia Pratama , Erna; Universitas Pendidikan Indonesia Piantari , Mahmoud; Djillali Liabes University Fahsi
Genomic repeats, i.e., pattern searching in the string processing process to find repeated base pairs in the order of Deoxyribonucleic Acid (DNA), requires a long processing time. This research builds a big-data computational model to look for patterns in strings by modifying and implementing the Boyer-Moore algorithm on Apache Spark Streaming for human DNA sequences from the Ensemble site. Moreover, we perform some experiments on cloud computing by varying different specifications of computer clusters with involving datasets of human DNA sequences. The results obtained show that the proposed computational model on Apache Spark Streaming is faster than standalone computing and parallel computing with multicore. Therefore, it can be stated that the main contribution in this research, which is to develop a computational model for reducing the computational costs, has been achieved.
Volume: 18
Issue: 2
Page: 783-791
Publish at: 2020-04-01

Water bath sonicator integrated with PID-based temperature controller for flavonoid extraction

10.12928/telkomnika.v18i2.14830
Zainul; Universitas Brawijaya Abidin , M. Aziz; Universitas Brawijaya Muslim , Muhammad; Universitas Brawijaya Muqorrobin , Warsito; Universitas Brawijaya Warsito
In this research, water bath sonicator was fabricated to extract bioactive compound of plants material using sound energy (ultrasonic waves) and heater. The bioactive compound, flavonoid, has high sensitivity to temperature and extraction time and previous research stated best treatment with combination of 45˚C and 20 minutes. Therefore, fabricated water bath sonicator was equipped with proportional integral derivative (PID) based temperature controller and timer. Based on a calculation using the Ziegler-Nichols tuning method, Kp, Ki, Kd parameters are 16.59, 0.0279, and 2463.6, respectively. The experimental result shows that the PID controller can perform as design specification with overshoot 1.39%, error steady-state 0.688% and settling time 37.2 minutes. Furthermore, it was proven that the PID controller has contribution to extract more flavonoid.
Volume: 18
Issue: 2
Page: 970-976
Publish at: 2020-04-01

Fisher-Yates and fuzzy Sugeno in game for children with special needs

10.12928/telkomnika.v18i2.14906
Diena Rauda; UIN Sunan Gunung Djati Bandung Ramdania , Mohamad; UIN Sunan Gunung Djati Bandung Irfan , Salma Nuralisa; UIN Sunan Gunung Djati Bandung Habsah , Cepy; UIN Sunan Gunung Djati Bandung Slamet , Wisnu; UIN Sunan Gunung Djati Bandung Uriawan , Khaerul; Universitas Sangga Buana Manaf
As a country that has its language, English is an international language that needs to be mastered. Until now, the mastery of English in Indonesian on an international scale is in a low category. Learning English should be taught to children from an early age. For children with special needs, special learning methods are needed so that the material is conveyed. Educational games can be used as an interesting learning media. In this study, an English educational game was created that had the concepts of a quiz, rearrange, and matching. Fisher-Yates algorithm was applied to randomize the questions so that the questions that came out varied. Fuzzy Sugeno algorithm is also applied to the scoring calculation, with input variables of time, value, and the number of stars obtained. The system test outcomes show that the application of the Fisher-Yates algorithm was successful because every question that came out was randomized. The application of the Fuzzy Sugeno algorithm happened also successful because of the high degree of accuracy. Besides, the use of games shows there is an increase in student understanding as evidenced by the acquisition of grades. The results of the average value in doing the test is from 80.41 to 88.3 after playing the game. 
Volume: 18
Issue: 2
Page: 879-889
Publish at: 2020-04-01

CMOS based thermal detector for processor

10.11591/ijeecs.v18.i1.pp276-283
Lee Che Yang , Warsuzarina Mat Jubadi
This project proposed a design of low power CMOS-based thermal detector which can detect the temperature of processor such as in Central Processing Unit. By re-designing temperature detector circuit using CMOS technology, the reduction in power consumption and area size of the thermal detector can be obtained.  In this paper, the design of thermal detector consists of temperature sensing core, amplifier, and Analog to Digital Converter (ADC), respectively. The sensor was designed using 0.13 µm CMOS technology and operates by sensing the temperature of processor and produced a digital output value. The temperature detection range was setup between 0 °C to 80 °C with 10 °C resolution. The temperature detector was capable to show temperature readings in binary value. It consumed an average power of 558.2 µW and a space occupancy of 0.0118 mm².
Volume: 18
Issue: 1
Page: 276-283
Publish at: 2020-04-01

Enhanced whale optimization algorithm for active power loss diminution

10.11591/ijict.v9i1.pp19-23
Kanagasabai Lenin
In this paper Enhanced whale Optimization Algorithm (EWO) proposed to solve the optimal reactive power problem. Whale optimization algorithm is modeled by Bubble-net hunting tactic. In the projected optimization algorithm an inertia weight ω ∈ [1, 0] has been introduced to perk up the search ability. Whales are commonly moving 10-16 meters down then through the bubbles which are created artificially then they encircle the prey and move upward towards the surface of sea. Proposed Enhanced whale optimization algorithm (EWO) is tested in standard IEEE 57 bus systems and power loss reduced considerably.
Volume: 9
Issue: 1
Page: 19-23
Publish at: 2020-04-01

An edge detection mechanism using L*A*B color-based contrast enhancement for underwater images

10.11591/ijeecs.v18.i1.pp41-48
M Sudhakara , M Janaki Meena
In Ocean investigations, particularly those deployed by the Autonomous Underwater Vehicles, underwater object detection and recognition is an essential task. Edge detection places a key role and considered one of the pre-processing techniques for several deep learning applications. In an underwater environment, the illumination of light, turbulence in the water, suspended particles present in the seafloor are challenging issues to acquire the quality image. The two major problems in underwater imaging are light scattering and color change. In the former case, the vision sensors connected to the underwater vehicles or dive lights used by the divers themselves cause light dispersion and shadows in the seafloor. In the latter case, the occurrence of color distortion is mainly due to the attenuation of the light, hence the images are having dominant colors in the latter case. The conventional techniques are failed to detect the quality edges in the case of underwater images. Our mechanism focused, instead of applying the edge detection algorithm on the input image directly, it is better to apply edge detection algorithm after color correction and contrast enhancement using L*A*B model. Qualitative and quantitative test results demonstrate that the proposed mechanism is giving better results compared with state-of-the-art methods.
Volume: 18
Issue: 1
Page: 41-48
Publish at: 2020-04-01

Comparing random forest and support vector machines for breast cancer classification

10.12928/telkomnika.v18i2.14785
Chelvian; University of Indonesia Aroef , Yuda; University of Indonesia Rivan , Zuherman; University of Indonesia Rustam
There are more than 100 types of cancer around the world with different symptoms and difficulty in predicting itsappearance in a person due to its random and sudden attack method. However, the appearance of cancer is generally marked by the growth of some abnormal cell. Someone might be diagnosed early and quickly treated, but the cancerous cell most times hides in the body of its victim and reappear, only to kill its sufferer. One of the most common cancers is breast cancer. According to Ministry of Health, in 2018, breast cancer attacked 42 out of every 100.000 people in Indonesia with approximately 17 deaths. In addition, the Ministry recorded a yearly increase in cancer patients. Therefore, there is adequate need to be able to determine those affected by this disease. This study applied the Boruta feature selection to determine the most important features in making a machine learning model. Furthermore, the Random Forest (RF) and Support Vector Machines (SVM) were the machine learning model used, with highest accuracies of 90% and 95% respectively. From the results obtained, the SVM is a better model than random forest in terms of accuracy.
Volume: 18
Issue: 2
Page: 815-821
Publish at: 2020-04-01
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