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29,922 Article Results

Automatic gray images colorization based on lab color space

10.11591/ijeecs.v18.i3.pp1501-1509
Nidhal K. El Abbadi , Eman Saleem Razaq
The colorization aim to transform a black and white image to a color image. This is a very hard  issue and usually requiring manual intervention by the user to produce high-quality images free of artifact. The public problem of inserting gradients color to a gray image has no accurate method. The proposed method is fully automatic method. We suggested to use reference color image to help transfer colors from reference image to gray image.  The reference image converted to  Lab color space, while the gray scale image normalized according to the lightness channel L. the gray image concatenate with both a, and b channels before converting to RGB image. The results were promised compared with other methods.
Volume: 18
Issue: 3
Page: 1501-1509
Publish at: 2020-06-01

Fuzzy-Logic-RSSI based approach for cluster heads selection in wireless sensor networks

10.11591/ijeecs.v18.i3.pp1424-1431
Azamuddin Abdul Rahman , Mohd Nizam Mohmad Kahar , Wan Isni Sofiah Wan Din
Wireless Sensor Networks (WSNs) are defined as networks of nodes that work in a cooperative way in order to sense and control the surrounding environment. Several WSNs algorithms have been proposed by utilizing the Fuzzy Logic technique to select the cluster heads (CHs). Each technique employs a different combination of input parameters such as nodes density, communication cost, and residual energy. CHs determination is critical towards this goal, whereas the combination of input parameters is expected to play an important role. Nevertheless, the received signal strength (RSSI) is one of the main criteria which get little attention from researchers on the topic of CHs selection. In this study, an RSSI based scheme was proposed which utilizes Fuzzy Logic approach in order to be combined with residual energy and centrality of the fuzzy descriptor. In order to evaluate the proposed scheme, the performance Multi-Tier Protocol (MAP) and Stable Election Protocol (SEP) were compared. The simulation results show that the proposed approach has significantly prolonged the survival time of the network against SEP and MAP, while effectively decelerating the dead process of sensor nodes.
Volume: 18
Issue: 3
Page: 1424-1431
Publish at: 2020-06-01

A review of high frequency emission in 2-150 kHz range

10.11591/ijaas.v9.i2.pp132-141
Tomina Thomas , Prawin Angel Michael
This paper reviews state-of part of discussion that concern about high frequency emission. Sometimes there may be emission in the range of high frequencies because of the fast improvement of energy saving equipments in our homes. Investigators and standardized organization given a very much importance to the disturbances of power quality that occur in the range middle of 2-150 kHz. Disturbances of these high frequencies are becoming an increasing concern in the industry, particularly due to the growth of distributed and embedded generation. Now days, a large number of researches are proceeding at a large number of places, yet information regarding supraharmonics remains confined.
Volume: 9
Issue: 2
Page: 132-141
Publish at: 2020-06-01

Validation of learning environment inventory for secondary school contexts

10.11591/ijere.v9i2.20444
Nurulhuda Md Hassan , Norliza Abdul Majid , Nur Khairunnasuha Abu Hassan
This study was conducted to describe the validation of learning environment inventory (LEI) for secondary school contexts. A survey method was used for data collection through the 20-item LEI. This study consists of two phases. In Phase 1, an exploratory factor analysis (EFA) was conducted using the Statistical Package for Social Sciences (SPSS 21) involving data collected from 150 students, which resulted in the extraction of four factors related to learning environment; (a) Learner-centered, (b) Knowledge-centered, (c) Assessment-centered, and (d) Community-centered. A confirmatory factor analysis (CFA) was carried out in Phase 2 with a new sample (N = 268) which resulted in strong model fit estimation. Such results confirmed the factor structure of Phase 1 and resulted in a final 12-item scale, which may be considered as an acceptable model.
Volume: 9
Issue: 2
Page: 379-384
Publish at: 2020-06-01

On the performance of code word diversity based quasi orthogonal space time block codes in multiple-input-multiple-output systems

10.11591/ijece.v10i3.pp2535-2542
SenthilKumar Kumaraswamy , Palanivelan Manickavel , Noormohammed Valimohamad , Helanvidhya Thankaraj , Yogalakshmi Venkatesan , Bakyalakshmi Veeraragavan
In the recent past, a lot of researches have been put into designing a Multiple-Input-Multiple-Output (MIMO) system to provide multimedia services with higher quality and at higher data rate. On par with these requirements, a novel Quasi Orthogonal Space Time Block Code (QOSTBC) scheme based on code word diversity is proposed, which is a multi-dimensional approach, in this paper. The term code word diversity is coined, since the information symbols were spread across many code words in addition to traditional time and spatial spreading, without increasing transmission power and bandwidth. The receiver with perfect channel state information estimates the transmitted symbols with less probability of error, as more number of samples is available to estimate given number of symbols due to the extra diversity due to code words. The simulation results show a significant improvement in the Bit Error Rate (BER) performance of the proposed scheme when compared with the conventional schemes.
Volume: 10
Issue: 3
Page: 2535-2542
Publish at: 2020-06-01

A chi-square-SVM based pedagogical rule extraction method for microarray data analysis

10.11591/ijaas.v9.i2.pp93-100
Mukhtar Damola Salawu , Micheal Olaolu Arowolo , Sulaiman Olaniyi Abdulsalam , Rafiu Mope Isiaka , Bilkisu Jimada-Ojuolape , Mudashiru Lateef Olumide , Kazeem A Gbolagade
Support Vector Machine (SVM) is currently an efficient classification technique due to its ability to capture nonlinearities in diagnostic systems, but it does not reveal the knowledge learnt during training. It is important to understand of how a decision is reached in the machine learning technology, such as bioinformatics. On the other hand, a decision tree has good comprehensibility; the process of converting such incomprehensible models into an understandable model is often regarded as rule extraction. In this paper we proposed an approach for extracting rules from SVM for microarray dataset by combining the merits of both the SVM and decision tree. The proposed approach consists of three steps; the SVM-CHI-SQUARE is employed to reduce the feature set. Dataset with reduced features is used to obtain SVM model and synthetic data is generated. Classification and Regression Tree (CART) is used to generate Rules as the Last phase. We use breast masses dataset from UCI repository where comprehensibility is a key requirement. From the result of the experiment as the reduced feature dataset is used, the proposed approach extracts smaller length rules, thereby improving the comprehensibility of the system. We obtained accuracy of 93.53%, sensitivity of 89.58%, specificity of 96.70%, and training time of 3.195 seconds. A comparative analysis is carried out done with other algorithms.
Volume: 9
Issue: 2
Page: 93-100
Publish at: 2020-06-01

Features detection based blind handover using kullback leibler distance for 5G HetNets systems

10.11591/ijai.v9.i2.pp193-202
Adnane El Hanjri , Aawatif Hayar , Abdelkrim Haqiq
The Fifth Generation of Mobile Networks (5G) is changing the cellular network infrastructure paradigm, and Small Cells are a key piece of this shift. But the high number of Small Cells and their low coverage involve more Handovers to provide continuous connectivity, and the selection, quickly and at low energy cost, of the appropriate one in the vicinity of thousands is also a key problem. In this paper, we propose a new method, to have an efficient, blind and rapid handover just by analysing Received Signal probability density function instead of demodulating and analysing Received Signal itself as in classical handover. The proposed method exploits KL Distance, Akaike Information Criterion (AIC) and Akaike weights, in order to decide blindly the best handover and the best Base Station (BS) for each user
Volume: 9
Issue: 2
Page: 193-202
Publish at: 2020-06-01

Comparison of stress level and coping strategy between therapeutic phases in newly diagnosed tuberculosis

10.11591/ijphs.v9i2.20410
Ni Putu Wulan Purnama Sari , Ayu Kurnia Endar Sari
In newly diagnosed Tuberculosis (TB), the diagnosis and therapy duration may cause psychological stress requiring effective coping strategy. This study aimed to compare and analyze the differences of stress level and coping strategy between intensive and advanced phases in newly diagnosed TB. This cross-sectional study involved 16 respondents in intensive phase and 29 respondents in advanced phase (n=45), in the working area of Pacar Keling Public Health Center of Surabaya. Perceived Stress Scale (PSS) and coping strategy questionnaire were used for collecting data. Data were collected in May 2018. Independent sample t test was used in data analysis (α<0.05). Results showed that mostly moderate stress level and adaptive coping strategy were found in both phases. Overall, stress and coping were not significantly different between phases in newly diagnosed TB (p=0.259 and p=0.079 respectively), but the feeling of angry, losing control, nervous & depressed, whether things happened as wishes, talking problems to professionals, and trying new dangerous thing were differ significantly between phases (p=0.046, p=0.024, p=0.044, p=0.016, p=0.014, and p=0.005 respectively). Although stress level and coping strategy were not significantly different between therapeutic phases in newly diagnosed TB, but more attention needs to be given towards patients’ emotion, such as the feeling of angry, losing control, nervous and depressed, and patients’ wishes, especially in intensive phase.
Volume: 9
Issue: 2
Page: 145-152
Publish at: 2020-06-01

Nutrient deficiency detection in Maize (Zea mays L.) leaves using image processing

10.11591/ijai.v9.i2.pp304-309
Nurbaity Sabri , Nurul Shafekah Kassim , Shafaf Ibrahim , Rosniza Roslan , Nur Nabilah Abu Mangshor , Zaidah Ibrahim
Maize is one of the world's leading food supplies. Therefore, the crop's production must continue to reproduce to fulfill the market demand. Maize is an active feeder, therefore, it need to be adequately supplied with nutrients. The healthy plants will be in deep green color to indicate it consist of adequate nutrient. Current practice to identify the nutrient deficiency on maize leaf is throught a laboratory test. It is time consuming and required agriculture knowledge. Therefore, an image processing approach has been done to improve the laboratory test and eliminate a human error in identification process. The purpose of this research is to help agriculturist, farmers and researchers to identify the type of maize nutrient deficiency to determine an action to be taken. This research using image processing techniques to determine the type of nutrient deficiency that occurs on the plant leaf. A combination of Gray-Level Co-Occurrence Matrix (GLCM), hu-histogram and color histogram has been used as a parameter for further classification process. Random forest technique was used as classifiers manage to achive 78.35% of accuracy. It shows random forest is a suitable classifier for nutrient deficiency detection in maize leaves. More machine learning algorithm will be tested to increase current accuracy.
Volume: 9
Issue: 2
Page: 304-309
Publish at: 2020-06-01

A comparative analysis of classification techniques on predicting flood risk

10.11591/ijeecs.v18.i3.pp1342-1350
Nazri Mohd Nawi , Mokhairi Makhtar , Mohd Zaki Salikon , Zehan Afizah Afip
Flood is a temporary overflow of a dry area due to overflow of excess water, runoff surface waters or undermining of shoreline. In Malaysia itself in 2014, the country grieved with the catastrophic flood event in Kuala Krai, Kelantan, which caused of human lives, public assets and money lost. Due to uncertainties in flooding event, it is vital for Malaysia to have pre-warning system that assist related agencies in to categorize land areas that face high risk of flood so preventive actions can be planned in place. This paper conducts a comparative analysis of three classifications in classifying the risk of flood, whether high or low. The classification experiment conducts using three variants of Bayesian approaches, which are Bayesian Networks (BN), Naive Bayes (NB), and Tree Augmented Naive Bayes (TAN). The outcome of this research shows that Tree Augmented Naive Bayes (TAN) has the best algorithms as compared to others algorithms in classifying the risk of flood.
Volume: 18
Issue: 3
Page: 1342-1350
Publish at: 2020-06-01

Comparison of two hybrid algorithms on incorporated aircraft routing and crew pairing problems

10.11591/ijeecs.v18.i3.pp1665-1672
Mohamed N. F. , Mohamed N. A. , Mohamed N. H. , Subani N.
In airline operations planning, a sequential method is traditionally used in airline system. In airline systems, minimizing the costs is important as they want to get the highest profits. The aircraft routing problem is solved first, and then pursued by crew pairing problem. The solutions are suboptimal in some cases, so we incorporate aircraft routing and crew pairing problems into one mathematical model to get an exact solution. Before we solve the integrated aircraft routing and crew pairing problem, we need to get the aircraft routes (AR) and crew pairs (CP). In this study, we suggested using genetic algorithm (GA) to develop a set of AR and CP. By using the generated AR and CP, we tackle the integrated aircraft and crew pairing problems using two suggested techniques, Integer Linear Programming (ILP) and Particle Swarm Optimization (PSO). Computational results show that GA's executed of AR and CP and then solved by ILP obtained the greatest results among all the methods suggested.
Volume: 18
Issue: 3
Page: 1665-1672
Publish at: 2020-06-01

Maximize resource utilization based channel access model with presence of reactive jammer for underwater wireless sensor network

10.11591/ijece.v10i3.pp3284-3294
Sheetal Bagali , R. Sundaraguru
Underwater sensor networks (UWSNs) are vulnerable to jamming attacks. Especially, reactive jamming which emerged as a greatest security threat to UWSNs. Reactive jammer are difficult to be removed, defended and identified. Since reactive jammer can control and regulate (i.e., the duration of the jam signal) the probability of jamming for maintaining high vulnerability with low detection probability. The existing model are generally designed considering terrestrial wireless sensor networks (TWSNs). Further, these models are limited in their ability to detect jamming correctly, distinguish between the corrupted and uncorrupted parts of a packet, and be adaptive with the dynamic environment. Cooperative jamming model has presented in recent times to utilize resource efficiently. However, very limited work is carried out using cooperative jamming detection. For overcoming research challenges, this work present Maximize Resource Utilization based Channel Access (MRUCA). The MRUCA uses cross layer design for mitigating reactive jammer (i.e., MRUCA jointly optimizes the cooperative hopping probabilities and channel accessibility probabilities of authenticated sensor device). Along with channel, load capacity of authenticated sensor device is estimated to utilize (maximize) resource efficiently. Experiment outcome shows the proposed MRUCA model attain superior performance than state-of-art model in terms of packet transmission, BER and Detection rate.
Volume: 10
Issue: 3
Page: 3284-3294
Publish at: 2020-06-01

Mercury and its effect on human health: a review of the literature

10.11591/ijphs.v9i2.20416
Siti Thomas Zulaikhah , Joko Wahyuwibowo , Arrizki Azka Pratama
Mercury in human body is a free radical that can cause depletion of glutathione (GSH) and hoarding of H2O2, leading to shorten the age of erythrocytes and cause haemolysis. Approximately 90% organic form can be absorbed by the intestinal wall, while inorganic forms are only about 10%. The initial form can also penetrate the blood and placental barrier so that it can cause teratogenic effects and nervous disorders. The effects of mercury toxicity on humans depend on the chemical form of mercury, dosage, age of people exposed, length of exposure, entry into the body, fish diet and consumption of seafood. Mercury is able to bind sulfidril proteins in cells resulting in nonspecific cell injury or even cell death, cessation of microtubule formation, enzyme inhibition, oxidative stress, cessation of protein and DNA synthesis, and autoimmune responses. Classified into a very toxic metal, mercury can trigger the formation of ROS, hydrogen peroxide, lipid peroxidation, hydroxyl radicals that can inhibit enzymes, cell damage, DNA damage, protein structure damage, disruption on the body's antioxidant metabolism, especially superoxide dismutase (SOD) and glutathione peroxidase (GPx). Mercury exposure is associated with an increased risk of hypertension, myocardial infarction, coronary dysfunction, and atherosclerosis. This review is clearly in line to investigate the effect of mercury on human health based on previous research, article and other literature sources.
Volume: 9
Issue: 2
Page: 103-114
Publish at: 2020-06-01

Performance evaluation of interference aware topology power and flow control channel assignment algorithm

10.11591/ijece.v10i3.pp2503-2512
Jatinder Singh Saini , Balwinder Singh Sohi
Multi-Radio Multi-Channel Wireless Mesh Network (MRMC-WMN) has been considered as one of the key technology for the enhancement of network performance. It is used in a number of real-time applications such as disaster management system, transportation system and health care system. MRMC-WMN is a multi-hop network and allows simultaneous data transfer by using multiple radio interfaces. All the radio interfaces are typically assigned with different channels to reduce the effect of co-channel interference. In MRMC-WMN, when two nodes transmit at the same channel in the range of each other, generates co-channel interference and degrades the network throughput. Co-channel interference badly affects the capacity of each link that reduces the overall network performance. Thus, the important task of channel assignment algorithm is to reduce the co-channel interference and enhance the network performance. In this paper, the problem of channel assignment has been addressed for MRMC-WMN. We have proposed an Interference Aware, Topology, Power and Flow Control (ITPFC) Channel Assignment algorithm for MRMC-WMN. This algorithm assignes the suitable channels to nodes, which provides better link capacity and reduces the co-channel interference. In the previous work performance of the proposed algorithm has been evaluated for a network of 30 nodes. The aim of this paper is to further evaluate the performance of proposed channel assignment algorithm for 40 and 50 nodes network. The results obtained from these networks show the consistent performance in terms of throughput, delay, packet loss and number of channels used per node as compared to LACA, FCPRA and IATC Channel Assignment algorithms.
Volume: 10
Issue: 3
Page: 2503-2512
Publish at: 2020-06-01

Transition flight modeling and robust control of a VTOL unmanned quad tilt-rotor aerial vehicle

10.11591/ijeecs.v18.i3.pp1252-1261
Navya Thirumaleshwar Hegde , V.I. George , C Gurudas Nayak , Kamlesh Kumar
The development of fully autonomous Unmanned Aerial Vehicles (UAV) plays a major contribution towards reducing the risk to human life in various applications including rescue teams, border patrol, police and inspection of buildings, pipelines, coasts, and terrains. Tiltrotor hybrid UAV exhibit special application value due to its unique rotor structure. The variation in the model dynamics and aerodynamics due to the tilting rotors are the major key issues and challenges which attracted the attention of many researchers. This vehicle combines the hovering capabilities of a helicopter along with the high-speed cruise capabilities of a conventional airplane by tilting its four rotors. In the present research work, the authors attempt to model a quad tilt rotor UAV using Newton-Euler formulation. A dynamic model of the vehicle is derived mathematically for horizontal, vertical and transition flight modes. A robust H-infinity control strategy is proposed, evaluated and analyzed through simulation to control the flight dynamics of the different modes of the UAV. Simulation results shows that the tiltrotor UAV achieves transition successfully.
Volume: 18
Issue: 3
Page: 1252-1261
Publish at: 2020-06-01
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