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30,938 Article Results

CCTV Surveillance System, Attacks and Design Goals

10.11591/ijece.v8i4.pp2072-2082
Muthusenthil B. , Hyun Sung Kim
Closed Circuit Tele-Vision surveillance systems are frequently the subject of debate. Some parties seek to promote their benefits such as their use in criminal investigations and providing a feeling of safety to the public. They have also been on the receiving end of bad press when some consider intrusiveness has outweighed the benefits. The correct design and use of such systems is paramount to ensure a CCTV surveillance system meets the needs of the user, provides a tangible benefit and provides safety and security for the wider law-abiding public. In focusing on the normative aspects of CCTV, the paper raises questions concerning the efficiency of understanding contemporary forms of ‘social ordering practices’ primarily in terms of technical rationalities while neglecting other, more material and ideological processes involved in the construction of social order. In this paper, a 360-degree view presented on the assessment of the diverse CCTV video surveillance systems (VSS) of recent past and present in accordance with technology. Further, an attempt been made to compare different VSS with their operational strengths and their attacks. Finally, the paper concludes with a number of future research directions in the design and implementation of VSS.
Volume: 8
Issue: 4
Page: 2072-2082
Publish at: 2018-08-01

An approach to Measure Transition Density of Binary Sequences for X-filling based Test Pattern Generator in Scan based Design

10.11591/ijece.v8i4.pp2063-2071
Sabir Hussain , V. Malleshwara Rao
Switching activity and Transition density computation is an essential stage for dynamic power estimation and testing time reduction. The study of switching activity, transition densities and weighted switching activities of pseudo random binary sequences generated by Linear Feedback shift registers and Feed Forward shift registers plays a crucial role in design approaches of Built-In Self Test, cryptosystems, secure scan designs and other applications. This paper proposed an approach to find transition densities, which plays an important role in choosing of test pattern generator We have analyze conventional and proposed designs using our approache, This work also describes the testing time of benchmark circuits. The outcome of this paper is presented in the form of algorithm, theorems with proofs and analyses table which strongly support the same. The proposed algorithm reduces switching activity and testing time up to 51.56% and 84.61% respectively.
Volume: 8
Issue: 4
Page: 2063-2071
Publish at: 2018-08-01

Information Retrieval from Emotions and Eye Blinks with help of Sensor Nodes

10.11591/ijece.v8i4.pp2433-2441
Puneet Singh Lamba , Deepali Virmani
In everyday life, there are situations where the only way to communicate are emotions. EMOTICONS are the epitome of the same. This aspect of communication can also be used in emergency situations (terrorist attacks, hijacks) where the only way to communicate is by performing some extraordinary actions or through some emotions. Incorporating technology to the above mentioned circumstances the paper proposes a novel framework of detecting an emergency situation by retrieving information from emotions and eye blinks using sensor nodes. The proposed framework can be deployed in places (hotels, banks, airports etc.) which are more suspected to attacks. The framework takes input from real time parameters: eye blinks, emotions, heart rate. Based on behavioral changes, biological changes and physical changes the proposed framework extracts meticulous information. The proposed framework is further validated through implementation of a facial emotion recognition system that successfully recognizes various human emotions. The facial emotion recognition system of the proposed framework is compared with existing SVM technique in terms of accuracy, training and testing error. Accuracy with the proposed system is increased to 78.40% in comparison with existing SVM that is 75.37% and the training error is decreased to 0.004103 whereas with the existing SVM method training error is 0.008935.
Volume: 8
Issue: 4
Page: 2433-2441
Publish at: 2018-08-01

Controlling a DC Motor through Lypaunov-like Functions and SAB Technique

10.11591/ijece.v8i4.pp2180-2198
Alejandro Rincón , Fabiola Angulo , Fredy Hoyos
In this paper, state adaptive backstepping and Lyapunov-like function methods are used to design a robust adaptive controller for a DC motor. The output to be controlled is the motor speed. It is assumed that the load torque and inertia moment exhibit unknown but bounded time-varying behavior, and that the measurement of the motor speed and motor current are corrupted by noise. The controller is implemented in a Rapid Control Prototyping system based on Digital Signal Processing for dSPACE platform and experimental results agree with theory.
Volume: 8
Issue: 4
Page: 2180-2198
Publish at: 2018-08-01

Protecting Data by Improving Quality of Stego Image based on Enhanced Reduced difference Expansion

10.11591/ijece.v8i4.pp2468-2476
Maurice Ntahobari , Tohari Ahmad
In this era of internet development, security of information sharing is the main problem faced by human being. Data hiding technique is one of the solutions. However, hiding credential information within a multimedia file such as image reduces its visual quality. Therefore, unauthorized users may suspect the existance of secret data within that image. In the past years, various data hiding algorithms have been developed by researchers to overcome the problem of high distortion of image after data embedding process. Achieving a high quality stego image, however, is still a challenging problem. In this paper, we proposed a new data hiding algorithm based on different expansion. It aims to enhance the quality of stego image for a given payload size. The new algorithm is evaluated on various medical images. Thereafter, the experimental results show that the visual quality is improved; and increasing the embedding capacity leads to more noises. Therefore, a better choice of base point and a reduced difference expansion affect the quality of stego image.
Volume: 8
Issue: 4
Page: 2468-2476
Publish at: 2018-08-01

A Novel Study on Bipolar High Voltage Direct Current Transmission Lines Protection Schemes

10.11591/ijece.v8i4.pp1977-1984
Shobha Agarwal , C. K. Panigrahi , Aishwarya Sahoo , Sanitha Mishra
In long dc transmission lines identification of fault is important for transferring a large amount of power. In bipolar Line commutated converter transmission lines are subjected to harsh weather condition so accurate and rapid clearance of fault is essential. A comparative study of the bipolar system with both converters healthy and one converter tripped is studied. Most of the research paper has focussed on transmission line faults in bipolar mode but none of them had focussed when HVDC system works in monopolar mode after the fault. In the proposed scheme the voltage signals are extracted from both poles of the rectifier ends and are processed to identify the faults in transmission lines.The Artificial neural network is utilised in detecting the fault in both bipolar and monopolar system. Since it can identify the relationship between input and output data to detect the fault pattern it can be utilised under all conditions. Moreover, benefits of the proposed method are its accuracy, no requirement of the communication system as it acquires data from one end and has a reach setting of 99%.
Volume: 8
Issue: 4
Page: 1977-1984
Publish at: 2018-08-01

GENCO Optimal Bidding Strategy and Profit based Unit Commitment using Evolutionary Particle Swarm Optimization Illustrating the Effect of GENCO Market Power

10.11591/ijece.v8i4.pp1997-2013
Adline Bikeri , Christopher Muriithi , Peter Kihato
In deregulated electricity markets, generation companies (GENCOs) make unit commitment (UC) decisions based on a profit maximization objective in what is termed profit based unit commitment (PBUC). PBUC is done for the GENCOs demand which is a summation of its bilateral demand and allocations from the spot energy market. While the bilateral demand is known, allocations from the spot energy market depend on the GENCOs bidding strategy. A GENCO thus requires an optimal bidding strategy (OBS) which when combined with a PBUC approach would maximize operating profits. In this paper, a solution of the combined OBS-PBUC problem is presented. An evolutionary particle swarm optimization (EPSO) algorithm is implemented for solving the optimization problem. Simulation results carried out for a test power system with GENCOs of differing market strengths show that the optimal bidding strategy depends on the GENCOs market power. Larger GENCOs with significant market power would typically bid higher to raise market clearing prices while smaller GENCOs would typically bid lower to capture a larger portion of the spot market demand. It is also illustrated that the proposed EPSO algorithm has a better performance in terms of solution quality than the classical PSO algorithm.
Volume: 8
Issue: 4
Page: 1997-2013
Publish at: 2018-08-01

An Efficient Schema of a Special Permutation Inside of Each Pixel of an Image for its Encryption

10.11591/ijeecs.v11.i2.pp496-503
Hana Ali-Pacha , Naima Hadj-Said , Adda Ali-Pacha , Mustafa Mamat , Mohamad Afendee Mohamed
The developments of communications and digital transmissions have pushed the data encryption to grow quickly to protect the information, against any hacking or digital plagiarisms. Many encryption algorithms are available on the Internet, but it's still illegal to use a number of them. Therefore, the search for new the encryption algorithms is still current. In this work, we will provide a preprocessing of the securisation of the data, which will significantly enhance the crypto-systems. Firstly, we divide the pixel into two blocks of 4 bits, a left block that contains the most significant bit and another a right block which contains the least significant bits and to permute them mutually. Then make another permutation for each of group. This pretreatment is very effective, it is fast and is easy to implement and, only consumes little resource.
Volume: 11
Issue: 2
Page: 496-503
Publish at: 2018-08-01

The Improvement of first Iteration Log Periodic Fractal Koch Antenna with Slot Implementation

10.11591/ijece.v8i4.pp2564-2570
N. S. M. Yaziz , M. K. A. Rahim , F. Zubir , N. S. Nadzir , R. Dewan , H. A. Majid
In this paper, a slotted is introduced at each of the radiating elements on the 1st iteration log periodic fractal Koch antenna (LPFKA). The antenna is designed to testify the appropriate performance at UHF Digital television which operates from 4.0 GHz to 1.0 GHz. The dimension of the conventional 0th iteration LPKFA is successfully reduced by 17% with the implementation of slotted. The results show a good agreement with a stable radiation pattern across the operating bandwidth, stable gain more than 5 dBi and reflection coefficient of below -10 dB over the desired frequency range.
Volume: 8
Issue: 4
Page: 2564-2570
Publish at: 2018-08-01

Meleagris Gallopavo Algorithm for Solving Optimal Reactive Power Problem

10.11591/ijape.v7.i2.pp99-110
K. Lenin
In this paper, Meleagris Gallopavo Algorithm (MGA) is proposed for solving optimal reactive power problem.As a group-mate Meleagris gallopavo follow their poultry to  explore food,  at the same time it prevent the  same ones  to eat their own food. Always the overriding individuals have the lead to grab more food and Meleagris gallopavo would arbitrarily pinch the high-quality food which has been already found by other Meleagris gallopavo. In the region of the mother Meleagris gallopavo, Poults always search for food. In the Projected Meleagris Gallopavo Algorithm (MGA) additional parameters are eliminated, in order to upsurge the search towards global optimization solution.Proposed Meleagris Gallopavo Algorithm (MGA) has been tested on two modes a. with the voltage stability Evaluation in standard IEEE 30 bus test system, b. Without voltage stability Evaluation in standard IEEE 30, 57,118 bus test systems & practical 191 test system. Simulation results show clearly the better performance of the proposed Meleagris Gallopavo Algorithm (MGA) in reducing the real power loss, enhancement of static voltage stability Index and particularly voltage profiles within the specified limits.
Volume: 7
Issue: 2
Page: 99-110
Publish at: 2018-08-01

Ship Speed Estimation using Wireless Sensor Networks: Three and Five Sensors Formulation

10.12928/telkomnika.v16i4.7596
Ajib Setyo; Universitas Indonesia Arifin , Dina Kusuma; Universitas Indonesia Wahyuni , Muhammad; Universitas Indonesia Suryanegara , Muhammad; Universitas Indonesia Asvial
Intrusion detection on the sea is an important surveillance problem for harbor protection, border security, and commercial facilities such as oil platforms, fisheries facilities and other marine wealth. Widely used methods for ship detection are using radar or satellite which is very expensive. Besides the high cost, the satellite image is easy affected by the cloud. And it is difficult to detect small boats or ships on the sea with marine radar due to the noise or clutters generated by the uneven sea surface. In this paper, we propose ship speed estimation by taking advantage of ship-generated wave’s characteristics with Wireless Sensor Network (WSN). We use a grid fashion for sensor node deployment that can be clustered into three and five sensors. We propose the ship speed formulation for each type of claster. We use three sensors, we may expect to improve energy efficiency by involving small number of sensor for detection. We use five sensors, we may expect to improve accuracy of detection. We also propose an algorithm for detection by incorporating individual sensor detection. The individual sensor detection produces a time stamp that records the ship-generated waves intruding the sensors.
Volume: 16
Issue: 4
Page: 1527-1534
Publish at: 2018-08-01

High PV Penetration Impact on European-based LV Residential Network

10.12928/telkomnika.v16i4.9056
Kyairul Azmi; Universiti Teknikal Malaysia Melaka Baharin , Nur Aliah; Universiti Teknikal Malaysia Melaka Isa , Chin Kim; Universiti Teknikal Malaysia Melaka Gan , Meysam; Universiti Teknikal Malaysia Melaka Shamshiri
The impact of high PV penetration into the grid particularly at the distribution side has been extensively studied. However, most of the available research focuses on North American style systems. This project aims to investigate the effect of high PV penetration at a residential area in a European-based distribution network, which is electricity supply system Malaysia is based on. The modeling is done using OpenDSS while the network model used is the IEEE European Low Voltage Test Feeder which consists of 55 loads representing a generic housing area. Each load point is then equipped with a 4 kW PV system-representing a typical size for a house installation. PV output variability is then introduced into the modeling using two sample days of actual irradiance variability obtained from UTeM Malaysia; one for clear day and another for a high variability day. Voltage unbalance, voltage rise and reverse power flow were analyzed. One significant finding of this project is that voltage rise exceeds the standard of 1.05 pu during noon. Besides that, the high variability days significantly affect the mitigation measures required to manage reverse power flow.
Volume: 16
Issue: 4
Page: 1375-1382
Publish at: 2018-08-01

Semi-Supervised Keyphrase Extraction on Scientific Article using Fact-based Sentiment

10.12928/telkomnika.v16i4.5473
Felix Christian; Maranatha Christian University Jonathan , Oscar; Maranatha Christian University Karnalim
Most scientific publishers encourage authors to provide keyphrases on their published article. Hence, the need to automatize keyphrase extraction is increased. However, it is not a trivial task considering keyphrase characteristics may overlap with the non-keyphrase’s. To date, the accuracy of automatic keyphrase extraction approaches is still considerably low. In response to such gap, this paper proposes two contributions. First, a feature called fact-based sentiment is proposed. It is expected to strengthen keyphrase characteristics since, according to manual observation, most keyphrases are mentioned in neutral-to-positive sentiment. Second, a combination of supervised and unsupervised approach is proposed to take the benefits of both approaches. It will enable automatic hidden pattern detection while keeping candidate importance comparable to each other. According to evaluation, fact-based sentiment is quite effective for representing keyphraseness and semi-supervised approach is considerably effective to extract keyphrases from scientific articles.
Volume: 16
Issue: 4
Page: 1771-1778
Publish at: 2018-08-01

Deep Learning for Tuning Optical Beamforming Networks

10.12928/telkomnika.v16i4.8176
Herminarto; Universitas Pertamina Nugroho , Wahyu Kunto; Universitas Pertamina Wibowo , Aulia Rahma; Universitas Pertamina Annisa , Hanny Megawati; Universitas Pertamina Rosalinda
In communication between planes and satellites, Optical Beamforming Networks (OBFNs), which rely on many small and flat Phased Array Antennas (PAAs), need to be tuned in order to receive signals from specific angles. In this paper, we develop a deep neural network representation of tuning OBFNs. The problem of tuning an OBFN is in many aspects similar to training a deep neural network. We present a way to exploit the special structure of OBFNs into deep neural network and an algorithm for tuning OBFNs based on feedback that can be easily measured in real system. Training data, which consists of full signals, can be measured, and therefore is used in this paper. For pilot signals, the desired signal is known explicitly. Given the configuration of OBFNs and all nominal parameters required, it was verified in simulation that the deep neural network can be used to tune large scale OBFNs for any desired delays.
Volume: 16
Issue: 4
Page: 1607-1615
Publish at: 2018-08-01

Path Tracking on Autonomous Vehicle for Severe Maneuvre

10.12928/telkomnika.v16i4.9068
Zulkarnain; Universiti Teknologi Malaysia Zulkarnain , Hairi; Universiti Teknologi Malaysia Zamzuri , M. H. M.; Universiti Teknologi Malaysia Ariff , Umar Zakir Abdul; Universiti Teknologi Malaysia Hamid
Autonomous vehicle consists self-learning process consists recognizing environment, real time localization, path planning and motion tracking control. Path tracking is an important aspect on autonomous vehicle. The main purpose path tracking is the autonomous vehicle have an ability to follow the predefined path with zero steady state error. The non-linearity of the vehicle dynamic cause some difficulties in path tracking problems. This paper proposes a path tracking control for autonomous vehicle. The controller consists of a relationship between lateral error, longitudinal velocity, the heading error and the reference yaw rate. In addition, the yaw rate controller developed based on the vehicle and tyre model. The effectiveness of the proposed controller is demonstrated by a simulation.
Volume: 16
Issue: 4
Page: 1583-1589
Publish at: 2018-08-01
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