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31,456 Article Results

The usage of dual-layer remote phosphor configurations in enhancing color quality and luminous flux of WLEDs

10.12928/telkomnika.v17i6.13093
Thuc Minh; Nha Trang University Bui , Phan Xuan; National Key Laboratory of Digital Control and System Engineering Le , Dinh Hoang; Ton Duc Thang University Bach , Nguyen Doan; Ton Duc Thang University Quoc Anh
Among conformal phosphor structure, in-cup phosphor structure, and remote phosphor structure, while in term of attaining the highest luminous flux, remote phosphor structure is the most ideal one, it seems to be that this structure results in the lowest-quality of color. Therefore, it is necessary in conducting experiments to surmount this disadvantage and make a possibility in enhancing the color quality of WLEDs with remote phosphor structure. In this research, with the ability of advancing the color rendering index (CRI) and color quality (CQS) for WLEDs, a dual-layer remote phosphor structure was considered as a suggestion. The experiments in this study used three kinds of WLEDs with the similar structures but different color temperatures varying at 5600 K, 7000 K, and 8500 K. The objectives of this paper is proposing a solution to obtain the highest color quality by placing a yellow-green emitting SrBaSiO4:Eu2+ phosphor layer or a red-emitting SrwFxByOz:Eu2+,Sm2+ phosphor layer on the YAG:Ce3+ phosphor layer and then choosing the most appropriate value of SrwFxByOz:Eu2+,Sm2+ concentration. The experimental results which are satisfied expectations of researchers indicated that SrwFxByOz:Eu2+,Sm2+ has enforced its role in managing to raise the CRI and CQS. Particularly, the greater concentration of SrwFxByOz:Eu2+,Sm2+ leads to the higher the CRI and CQS, since the red light component in WLEDs increased. Besides, the quality of luminous flux is in a tight connection with the SrBaSiO4:Eu2+ phosphor layer. Whereas, according to the Mie scattering theory and the Lambert-Beer law, if the concentration of SrwFxByOz:Eu2+,Sm2+ and SrBaSiO4:Eu2+ becomes redundant, the luminous flux and color quality will take a deep dive. Briefly, the results from this article has largely contributed to fabricating high-quality WLEDs.
Volume: 17
Issue: 6
Page: 2931-2939
Publish at: 2019-12-01

Knowledge and integrated data management model for personalized intercropping in rubber plantation

10.11591/ijece.v9i6.pp5502-5511
Kornkanok Phoksawat , Massudi Mahmuddin
Selection and allocation of space for intercropping in rubber plantations to maximize yield and minimum costs for individual farmers involves Multi-Criteria Decision Making (MCDM) and several conditions.  The problem is that the information is scattered in many related agencies, there are separate stores and some data is redundant. In addition, the format of the data varies depending on the purpose of the data. The knowledge of selecting plants to grow in the rubber plantation is the tacit knowledge acquired from the experience of successful farmers in rubber plantations and from agricultural experts. Therefore, this research involves an Integrated Ontology-based knowledge and Multi-Objective Optimization model for intercropping Decision Support Systems (DSS). This article presents the knowledge and integrated data management model for developing the Intercropping in Rubber Plantations Ontology by using the Triangulation in the method to verify the accuracy of the data and results.  Moreover, propose ways to create recommendation rules that are easy to rule update and maintenance.  Using an ontology for DSS helps to recommended plants according to the appropriate environment of the farmer area by rule-based inference to represent logical reasoning.  It could also be applied to another domain that requires Intelligent DSS for MCDM.
Volume: 9
Issue: 6
Page: 5502-5511
Publish at: 2019-12-01

Value creation with big data analytics for enterprises: a survey

10.12928/telkomnika.v17i6.11962
Ali; Islamic Azad University Mirarab , Seyedeh Leili; Kharazmi University Mirtaheri , Seyed Amir; Kharazmi University Asghari
The emergence of Big Data applications has paved the way for enterprises to use Big Data as a value-creation strategy for their business; however, the majority of enterprises fail to know how to generate value from their massive volumes of data. Big Data Analytics results can help the enterprises in better decision-making and provide them with additional profits. Studying different researches dedicated to value creation through Big Data Analytics. This paper (a) highlights the current state of the art proposed for creating value from Big Data Analytics, (b) identifies the essential factors and discusses their effects upon value creation, and (c) provides a classification of the cutting-edge technologies in this field.
Volume: 17
Issue: 6
Page: 2790-2802
Publish at: 2019-12-01

Recognition system for facial expression by processing images with deep learning neural network

10.12928/telkomnika.v17i6.12948
Holman Montiel; Universidad Distrital Francisco José de Caldas Ariza , Henry Hernández; Universidad Nacional de Colombia Martínez , Luz Andrea; Fundación Universitaria Panamericana Gaviria Roa
The recognition systems of patterns in images are mechanisms that filter the information that provides an image to highlight the area of interest for the user. Usually, these mechanisms are based on mathematical transformations that allow the processor to perform interpretations based on the geometry or shape of the image. However, the strategies that implement mathematical transformations are limited, since the effectiveness of these techniques is reduced by changing the morphology or resolution of the image. This paper presents a partial solution to this limitation with a digital image processing technique based on a deep learning neural network (DNN). This technique incorporates a mechanism that allows the DNN to determine the facial expression of a person, based on the segmented information of the image of their face. By segmenting the image and processing its characteristics in parallel, the proposed technique increases the effectiveness of recognizing facial gestures in different images even when modifying their characteristics.
Volume: 17
Issue: 6
Page: 2975-2982
Publish at: 2019-12-01

In everlasting fight against academic procrastination: The roles of classroom engagement and internal locus of control

10.11591/ijere.v8i4.20265
Yen Ling Hui , Kususanto Ditto Prihadi , Najiya I. Arif , Sam X. Y. Yap , Melissa J. Chua , John Chen , Jia C. Chong , James L. H. Yeow
This study aims to test the hypothesis that classroom engagement mediates the relationship between students’ internal locus of control and academic procrastination. As many as 302 students from a private university between 18 to 26 years of age were recruited to respond to Internal-External Locus of control Scale, Classroom Engagement Inventory, and Academic Procrastination scale. Bootstrapping analyses were conducted by utilizing PROCESS Macro model 4 in SPSS software, and the results showed that the mediator variable fully mediates the link between the predictor and outcome variables. In other words, the direct effect of internal locus of control on academic procrastination was no longer significant when controlling for classroom engagement. Further discussion, implications and suggestions were presented at the end of the article.
Volume: 8
Issue: 4
Page: 647-653
Publish at: 2019-12-01

A proposed architecture of big educational data using hadoop at the University of Kufa

10.11591/ijece.v9i6.pp4970-4978
Ahmed Yaseen Mjhool , Ahmed Hazim Alhilali , Salam Al-augby
Nowadays, educational data have been increased rapidly because of the online services provided for both students and staff. University of Kufa (UoK) generates a massive amount of data annually due to the use of e-learning web-based systems, network servers, Windows applications, and Students Information System (SIS).  This data is wasted as traditional management software are not capable to analysis it. As a result, the Big Educational Data concept rises to help education sectors by providing new e-learning methods, allowing to meet individual demands and reach the learners' goals, and supporting the students and teacher’s interaction. This paper focuses on designing Big Data analysis architecture, based on the Hadoop in the UoK and the same case for other Iraqi universities. The impact of this work, help the students learn, emphasizing the need of academic researchers and data science specialist for learning and practicing Big Data analytics and support the analysis of the e-learning management system and set the first step toward developing data repository and data policy in UoK.
Volume: 9
Issue: 6
Page: 4970-4978
Publish at: 2019-12-01

A photovoltaic integrated unified power quality conditioner with a 27-level inverter

10.12928/telkomnika.v17i6.13224
Kamel; An-Najah National Univeristy Saleh , Nael Hantouli
Abstract This paper presents a Unified Power Quality Conditioner (UPQC) with a 27- level inverter based on an asymmetric H-bridge topology. Each phase of the inverter is composed of three H-bridges, supplied by three DC sources scaled in the power of three. The output of the multilevel inverter is connected directly to the point of common coupling (PCC) without the need to a transformer or a filter. The calculation of the Shunt Active Power filter (SAPF) compensation current is based on the generalized theory of synchronous frame (d-q theory) while the calculation of a series active filter voltage is based on Instantaneous Reactive Power (p-q theory). The control of the SAPF is achieved by using a closed loop vector control followed by a new multilevel modulation technique. In addition to the capability of harmonic elimination of both current and voltage drawn from the source, the UPQC can produce real and reactive power to feed the loads during prolonged voltage outages or source shortage.  The injection of real and reactive power depends on the state of charge (SOC) of batteries, the frequency of the system, real and reactive power of the load, and power factor at the point of PCC. The proposed UPQC strategy is simulated in MATLAB SIMULINK and the results has shown a significant improved in Total Harmonics Distortion (THD) of both the voltage and currents.  
Volume: 17
Issue: 6
Page: 3232-3248
Publish at: 2019-12-01

Exploring lifelong learning outcomes among adult learners via goal orientation and information literacy self-efficacy

10.11591/ijere.v8i4.20304
Ong Choon Hee , Lim Lee Ping , Adriana Mohd Rizal , Tan Owee Kowang , Goh Chin Fei
This study intends to explore the relationship between goal orientation, information literacy self-efficacy and lifelong learning outcomes of the adult learners. This study focuses on adult learners as they are actively participating in the development of the country socio-economy and recognized as the potential contributors towards the generation of knowledge-based economy. The findings of this study revealed that there was a significant relationship between mastery goal orientation and lifelong learning. However, information literacy self-efficacy was found to be a predictor instead of a moderator in the model. It is suggested that suitable and appropriate learning methods such as problem-based learning, case scenario presentations, portfolios and clinical debates can be designed specifically to facilitate adult learners’ mastery goal learning motivation in promoting lifelong learning. In addition, training and retraining to equip adult learners with new information literacy skills so as to keep up their self-efficacy level will definitely enhance lifelong learning. This study provides a database on the impact of goal orientation and information literacy self-efficacy towards lifelong learning in implementing policy formation, educational structure redesign and human capital development. As such, suitable and appropriate learning methods such as problem-based learning, case scenario presentations, portfolios and clinical debates can be designed specifically to facilitate student learning motivation in the classroom.
Volume: 8
Issue: 4
Page: 616-623
Publish at: 2019-12-01

A wireless precoding technique for millimetre-wave MIMO system based on SIC-MMSE

10.12928/telkomnika.v17i6.12802
Rounakul Islam; International Islamic University Malaysia Boby , Khaizuran; International Islamic University Malaysia Abdullah , A. Z.; International Islamic University Malaysia Jusoh , Nagma; International Islamic University Malaysia Parveen , A. L.; International Islamic University Malaysia Asnawi
A communication method is proposed using Minimum Mean Square Error (MMSE) precoding and Successive Interference Cancellation (SIC) technique for millimetre-wave multiple-input multiple-output (mm-Wave MIMO) based wireless communication system. The mm-Wave MIMO technology for wireless communication system is the base potential technology for its high data transfer rate followed by data instruction and low power consumption compared to Long-Term Evolution (LTE). The mm-Wave system is already available in indoor hotspot and Wi-Fi backhaul for its high bandwidth availability and potential lead to rate of numerous Gbps/user. But, in mobile wireless communication system this technique is lagging because the channel faces relative orthogonal coordination and multiple node detection problems while rapid movement of nodes (transmitter and receiver) occur. To improve the conventional mm-wave MIMO nodal detection and coordination performance, the system processes data using symbolized error vector technique for linearization. Then the MMSE precoding detection technique improves the link strength by constantly fitting the channel coefficients based on number of independent service antennas (M), Signal to Noise Ratio (SNR), Channel Matrix (CM) and mean square errors (MSE). To maintain sequentially encoded user data connectivity and to overcome data loss, SIC method is used in combination with MMSE. MATLAB was used to validate the proposed system performance.
Volume: 17
Issue: 6
Page: 2782-2789
Publish at: 2019-12-01

Ant colony optimization based energy efficiency for improving opportunistic routing in multimedia wireless mesh network

10.11591/ijeecs.v16.i3.pp1371-1378
S. Harikishore , V. Sumalatha
Opportunistic Routing (OR) is developing as a favourable prototype to diminish performance deprivation in Wireless Mesh Networks (WMNs) owing to changing channel conditions and link breakages. When a flow of data is forwarded towards their destination, intermediate forwarders can attune the information of the route carried by the nodes. However, OR does not solve these problems such as routing efficiency and Energy Consumption. If the necessary energy is not presented, the packet is rejected and the delay occurs in the network. To overcome these problems, an Ant Colony Optimization based Energy Efficiency for improving opportunistic routing in Multimedia WMN (ACO-EE) is proposed. In this scheme, we develop the optimal energy strategy based on optimal transmission distance and remaining energy computation is saving node energy and enhancing the network lifetime. The ant colony optimization based route formation is to improve both the energy efficiency and opportunistic routing efficiency in WMN.Simulation results show that ACE-EE can effectively reduce the energy utilization of nodes and extend the network lifetime.
Volume: 16
Issue: 3
Page: 1371-1378
Publish at: 2019-12-01

Protecting big data mining association rules using fuzzy system

10.12928/telkomnika.v17i6.10064
Gandikota; Institute of Aeronautical Engineering Ramu , M; Srinivasa Ramanujan Institute of Technology Soumya , Appawala; Institute of Aeronautical Engineering Jayanthi , J.; Gopalan College of Engineering and Management Somasekar , K. K.; Sree Vidyanikethan Engineering College Baseer
Recently, big data is granted to be the solution to opening the subsequent large fluctuations of increase in fertility. Along with the growth, it is facing some of the challenges. One of the significant problems is data security. While people use data mining methods to identify valuable information following massive database, people further hold the necessary to maintain any knowledge so while not to be worked out, like delicate common itemsets, practices, taxonomy tree and the like Association rule mining can make a possible warning approaching the secrecy of information. So, association rule hiding methods are applied to evade the hazard of delicate information misuse. Various kinds of investigation already prepared on association rule protecting. However, maximum of them concentrate on introducing methods with a limited view outcome for inactive databases (with only existing information), while presently the researchers facing the problem with continuous information. Moreover, in the era of big data, this is essential to optimize current systems to be suited concerning the big data. This paper proposes the framework is achieving the data anonymization by using fuzzy logic by supporting big data mining. The fuzzy logic grouping the sensitivity of the association rules with a suitable association level. Moreover, parallelization methods which are inserted in the present framework will support fast data mining process.
Volume: 17
Issue: 6
Page: 3057-3065
Publish at: 2019-12-01

A brief review: security issues in cloud computing and their solutions

10.12928/telkomnika.v17i6.12490
Iqbal; University of Chittagong Ahmed
Cloud computing is an Internet-based, emerging technology, tends to be prevailing in our environment especially in the field of computer sciences and information technologies which require network computing on large scale. Cloud Computing is a shared pool of services which is gaining popularity due to its cost, effectiveness, avilability and great production. Along with its numerous benefits, cloud computing brings much more challenging situation regarding data privacy, data protection, authenticated access, Intellectual property rights etc. Due to these issues, adoption of cloud computing is becoming difficult in today’s world. In this review paper, various security issues regarding data privacy and reliability, key factors which are affecting cloud computing, have been addressed and also suggestions on particular areas have been discussed.
Volume: 17
Issue: 6
Page: 2812-2817
Publish at: 2019-12-01

Wireless power transfer enabled NOMA relay systems: two SIC modes and performance evaluation

10.12928/telkomnika.v17i6.12218
Dinh-Thuan; Ton Duc Thang University Do , Chi-Bao; Industrial University of Ho Chi Minh City Le , Hong-Nhu; VSB-Technical University of Ostrava Nguyen , Tam Nguyen; VSB-Technical University of Ostrava Kieu , Si-Phu; VSB-Technical University of Ostrava Le , Ngoc-Long; VSB-Technical University of Ostrava Nguyen , Nhat-Tien; VSB-Technical University of Ostrava Nguyen , Miroslav; VSB-Technical University of Ostrava Voznak
In this study, we deploy design and performance analysis in new system model using a relaying model, energy harvesting, and non-orthogonal multi-access (NOMA) network. It is called such topology as wireless powered NOMA relaying (WPNR). In the proposed model, NOMA will be investigated in two cases including single successive interference cancellation (SIC) and dual SIC. Moreover, the simultaneous wireless information and power transfer (SWIPT) technology can be employed to feed energy to relays who intend to serve far NOMA users. In particular, exact outage probability expressions are provided to performance evaluation. The results from the simulations are used to demonstrate the outage performance of the proposed model in comparison with the current models and to verify correct of derived expressions.
Volume: 17
Issue: 6
Page: 2697-2703
Publish at: 2019-12-01

Energy-efficient user association mechanism enabling fully hybrid spectrum sharing among multiple 5G cellular operators

10.12928/telkomnika.v17i6.13058
Mothana L.; Universiti Teknikal Malaysia Melaka (UTeM) Attiah , A. A.; Universiti Teknikal Malaysia Melaka (UTeM) Md Isa , Zahriladha; Universiti Teknikal Malaysia Melaka (UTeM) Zakaria , Ahmed M.; Universiti Teknikal Malaysia Melaka (UTeM) Dinar , M . K.; Universiti Teknikal Malaysia Melaka (UTeM) Abdulhameed , Mowafak K.; Universiti Teknikal Malaysia Melaka (UTeM) Mohsen
Spectrum sharing (SS) is a promising solution to enhance spectrum utilization in future cellular systems. Reducing the energy consumption in cellular networks has recently earned tremendous attention from diverse stakeholders (i.e., vendors, mobile network operators (MNOs), and government) to decrease the CO2 emissions and thus introducing an environment-friendly wireless communication. Therefore, in this paper, joint energy-efficient user association (UA) mechanism and fully hybrid spectrum sharing (EE-FHSS) approach is proposed considering the quality of experience QoE (i.e., data rate) as the main constraint. In this approach, the spectrum available in the high and low frequencies (28 and 73 GHz) is sliced into three portions (licensed, semi-shared, and fully-shared) aims to serve the users (UEs) that belong to four operators in an integrated and hybrid manner. The performance of the proposed QoE-Based EE UA-FHSS is compared with the well-known maximum signal-to-interference-plus-noise ratio (max-SINR UA-FHSS). Numerical results show that remarkable enhancement in terms of EE for the four participating operators can be achieved while maintaining a high degree of QoE to the UEs.
Volume: 17
Issue: 6
Page: 3203-3210
Publish at: 2019-12-01

Image watermarking using discrete wavelet-tchebichef transform

10.11591/ijeecs.v16.i3.pp1416-1423
Andik Setyono , De Rosal Ignatius Moses Setiadi
Image watermarking is one of the most popular techniques for authenticating copyright on the digital image. Many research on image watermarking has proved that the joint of Discrete Cosine Transform (DCT) and Discrete Wavelet Transform (DWT) combinations can improve both imperceptibility and robustness when compared to DCT or DWT only. Discrete Tchebichef Transform (DTT) denotes an alternative transformation that has a similarity property with DCT. DTT has an advantage in reducing memory requirements during computing, so the calculation speed is much faster than DCT. This study tested the performance of DTT and DCT on non-blind image watermarking method, where DTT and DCT are performed after DWT. Based on the experimental results, this research proved that the DTT was combined successfully with DWT and very potential for further investigation because it has a computing performance much better than DCT. While the image watermarking quality, both the imperceptibility and robustness aspects were completely identical with the combination of DCT and DWT transformation.
Volume: 16
Issue: 3
Page: 1416-1423
Publish at: 2019-12-01
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