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Integrated hybrid optical networking for 5G access networks

10.11591/ijeecs.v17.i3.pp1647-1656
Dawit Hadush Hailu , Gebrehiwet Gebrekrstos Lema , Gebremichael T. Tesfamariam , Tole Sutikno
Today, deployment of optical fiber has offered large transmission capacity which cannot be efficiently utilized by the electronic switches. Rather, Integrated Hybrid Optical Network (IHON) is a promising approach which combines both packet and circuit switching techniques. As a result, it achieves efficient utilization of the bulk capacity and guarantees absolute Quality of Service (QoS) by optimizing the advantages of the two switching schemes while diminishing their disadvantages. Transpacket has developed a Fusion node implementing IHON principles in Ethernet for the data plane. Hence, this paper investigates and evaluates IHON network for 5G access networks. The simulated results and numerical analysis confirm that the Packet Delay Variation (PDV), Delay and Packet Loss Ratio (PLR) of Guaranteed Service Transport. (GST) traffic in IHON network met the requirements of 5G mobile fronthaul using CPRI. The number of nodes in the network limits the maximum separation distance between Base Band Unit. (BBU) and Remote Radio Head (RRH), link length; for increasing the number of nodes, the link length decreases. In addition to this, we verified how the leftover capacity of fusion node can be used to carry the low priority packets and how the GST traffic can have deterministic characteristics on a single wavelength by delaying it with Fixed Delay Line (FDL). For example, for LSM1GE=0.3 the added Statistical Multiplexing (SM) traffic increases the 10GE wavelength utilization up to 89% without any losses and with SM PLR=1E−03 up to 92% utilization.
Volume: 17
Issue: 3
Page: 1647-1656
Publish at: 2020-03-01

Qualitative doctoral research in educational settings: Reflecting on meaningful encounters

10.11591/ijere.v9i1.20360
Myria Pieridou , Maria Kambouri-Danos
In qualitative doctoral research the methodological approach, and the research design are extremely important when ensuring the rigorousness of the work. This is particularly significant for all researchers, and even more for doctoral students who are still developing their research and analytical skills. This paper aims to support doctoral students in their research journey by highlighting some of the tensions involved in conducting qualitative research by unpicking the experiences of two doctoral students to learn from the concerns, questions and reflections on the use of qualitative methodology in their doctoral research projects. The findings reveal challenges and insights with regards to reflection, educational research and the developing identity of being a researcher. The paper discusses these reflections to support and guide doctoral students as early career researchers when planning and conducting qualitative research in educational settings. 
Volume: 9
Issue: 1
Page: 21-31
Publish at: 2020-03-01

Analysis of power system parameters for islanding detection using wavelet transform

10.11591/ijeecs.v17.i3.pp1184-1193
Safdar Raza , Hanya Amjad , Muhammad Umer , Aqeel Khalid
This paper classifies the basic power system parameters based on sensitivity and performance capability. This is the basic step in selecting the suitable parameter for intelligent islanding detection technique. The behaviour of basic power system parameters is analyzed using wavelet transform under all possible islanding and non-islanding conditions. In wavelet transform, the mother wavelet plays a significant role in the extraction of parameter features. The db4 mother wavelet is selected after an extensive analysis on different mother wavelets. As a result, it has been found that the extracted feature of reactive power shows the highest capability to distinguish islanding from non-islanding events.
Volume: 17
Issue: 3
Page: 1184-1193
Publish at: 2020-03-01

Comparison of student attitudes towards natural sciences

10.11591/ijere.v9i1.20394
Maison Maison , Haryanto Haryanto , Margaret Dwi Wiwik Ernawati , Yulia Ningsih , Nurdatul Jannah , Tari Okta Puspitasari , Dodi Setiawan Putra
The attitude of students during the learning process is essential to be known by an educator to understand how to deal with students in the class. This study aims to determine how students 'attitudes towards science subjects and this study also aim to determine whether there is a comparison of students' attitudes towards natural science subjects in junior high schools in Indonesia. This research was conducted at some state junior high schools in Jambi. Specifically, the research sites were Junior High School 5, Junior High School 6, and Junior High School 26 in Jambi. The research design used in this study was a quantitative approach with survey methods. The research instrument was a science attitude questionnaire. Data were analyzed using descriptive statistics and inferential statistics. The results showed that students' attitudes toward science subjects based on indicators of adoption of scientific attitudes, fun in learning science, and interest in increasing the time to study science were in good categories and also there are significant differences of students’ attitude towards science subjects in the three schools with a comparison value of 0.042 < 0.05.
Volume: 9
Issue: 1
Page: 54-61
Publish at: 2020-03-01

Design and development of Bi directional power meter using microcontroller

10.11591/ijeecs.v17.i3.pp1594-1600
Tasnim Ikra Rahman , Anika Fariha Rashid , Md. Habibur Rahman
The significance of power or energy measurement has been very acute in recent times with the increase of Grid-Tied Solar PV system that needs Net-Metering. Power can be flown in both directions, from grid to load or from load (PV- Panel) to grid line. If power flow from both side is not calculated and surplus power which is not being used at the time instant is not stored, accurate billing is not possible. That is why a bidirectional power meter is required which can measure both the positive and negative power at any instant. The aim of this paper is to develop a bidirectional power meter using microcontroller. The work of this paper constitutes a microcontroller, a current sensor, bulbs as load and a display. The rms values of voltage and current is determined and showed in the display. Then the calibration is done inside the developed program. After that the power is calculated and showed in the display. Then the direction of the power is determined depending on the direction (whether positive or negative) of the power which is also dependent on the phase difference between the voltage and current. If there is no phase difference between the voltage and current, then the power is positive and leaving from the grid. If there is 180 degree phase difference between the voltage and current, then the power is negative and entering to the grid. The direction of the power flow is very important for efficiently of the proposed meter. For some defined load the accuracy of the developed meter is calculated as 94%.
Volume: 17
Issue: 3
Page: 1594-1600
Publish at: 2020-03-01

Artificial neural network forecasting performance with missing value imputations

10.11591/ijai.v9.i1.pp33-39
Nur Haizum Abd Rahman , Muhammad Hisyam Lee
This paper presents time series forecasting method in order to achieve high accuracy performance. In this study, the modern time series approach with the presence of missing values problem is developed. The artificial neural networks (ANNs) is used to forecast the future values with the missing value imputations methods used known as average, normal ratio and also the modified method. The results are validated by using mean absolute error (MAE) and root mean square error (RMSE). The result shown that by considering the right method in missing values problems can improved artificial neural network forecast accuracy. It is proven in both MAE and RMSE measurements as forecast improved from 8.75 to 4.56 and from 10.57 to 5.85 respectively. Thus, this study suggests by understanding the problem in time series data can produce accurate forecast and the correct decision making can be produced.
Volume: 9
Issue: 1
Page: 33-39
Publish at: 2020-03-01

IR4.0: unmanned store apps

10.11591/ijeecs.v17.i3.pp1540-1547
Saidatul Rahah Hamidi , Muhammad Afiq Muhamad Yusof , Shuhaida Mohamed Shuhidan , Shamsiah Abd Kadir
The Internet of Things (IoT) is predicted to be one of the major megatrends in technology that applies worldwide including in Malaysia. Current advantages and expectations of using a connected device has become a reason to use applications in many areas, including the field of retail industry. The evolvement of technology has changed the retail landscape that replaces the manpower in their operations to improve the efficiency, quality and work ethics. Hence, this paper discussed comparative study of technology innovation applied and process flow in unmanned store from different country. Next, prototype of unmanned store apps was designed according to the most preferred technology based on the comparative study. IoT retailer model can be used to improve the retail experience for the customers. Thus, it may perform strategic marketing and gain retail intelligence. Besides, the revolution of using technology in this retail industry is contributing towards Industry 4.0 through digital transformation.
Volume: 17
Issue: 3
Page: 1540-1547
Publish at: 2020-03-01

Closed-loop ring resonator topology for bandpass filter applications

10.11591/ijeecs.v17.i3.pp1422-1426
Norfishah Ab Wahab , M. N. Md Tan , M. N. Hushim
This paper presents a single mode pseudo-elliptic bandpass resonator based on closed-loop ring topology. The resonator is built from six quarter wavelength transmission lines to form a square closed-loop ring structure. This structure creates transmission zeros at the lower and upper sidebands so that high selectivity bandpass filter response is achieved. The advantage of this topology is that the design is less complex since no perturbation is needed on the ring lines for creation of transmission zeros. Higher-order filters can be constructed by introducing quarter-wavelength coupled-lines, coupled at both input and output of the closed-loop ring resonator. For proof of concept, the filters are designed at 10 GHz up to 3rd order, simulated using full-wave electromagnetic simulator on microstrip substrate, FR-4 with characteristics given as Ԑr = 4.70, h = 1.499 mm and tan δ = 0.012.  The filters are simulated and responses are found to be agreeable with the proposed idea.
Volume: 17
Issue: 3
Page: 1422-1426
Publish at: 2020-03-01

A conceptual integrated health information systems framework in postnatal care for modern and traditional malay medicine

10.11591/ijeecs.v17.i3.pp1531-1539
Raja Rina Raja Ikram , Lizawati Salahuddin , Mohd Hariz Mohd Naim , Ariff Idris , Nor Afirdaus Zainal Abidin , Nadiah Ishak , Noor Raihan Ab Hamid
This paper proposes an integrated health information systems framework for Traditional Malay Medicine (TMM) and modern medicine in the field of postnatal care. A qualitative study was conducted via healthcare experts in the field of modern medicine and Traditional Malay Medicine to assess the current situation and identify the research gap and point of isolation between both traditional and modern medicine field. A total of 26 healthcare practitioners whom represented five different set of healthcare organisations participated in this study. The healthcare practitioners consist of modern and traditional Malay medicine background with and without proper training. Results show that there is a gap in the current people, process and technology areas of the current framework. A novel conceptual framework, MyPostnatal, proposes the existence of a sufficiently generic, extensible in-formation model where new data sources can be integrated without major changes to the data scheme. Human and organization factors are also highlighted to stimulate the adoption towards electronic health records.
Volume: 17
Issue: 3
Page: 1531-1539
Publish at: 2020-03-01

Identification of mobile vehicle through multilayer intercommunication

10.11591/ijeecs.v17.i3.pp1390-1398
Ranjan Goyal , Anuradha Gnanaprakasam , Paritosh Pal Singh
In the recent times of data transmission, applying the Internet of Things (IoT) device, networking to the various IoT modules is still a great challenge with the deployment stage. Very few localities in the world have the deployed IoT module integrated in its communication, but still maximum of the location are in testbed. As a practical application, the IoT modules can be used to collect the information about either the drunken person who is driving the vehicle or the heavily loaded vehicles. The vehicle that we are about to search should be integrated with the IoT module. In this paper, a novel approach for object tracking specifically the drunken driving person and the heavily loaded vehicle is proposed to ensure the follow of rules and prevent any mis happening. The task is to identify the exact vehicle which does not follow the rules which can be tracked and eliminated. For that we are proposing a simple methodology on identifying the vehicle by the tracking the locality of the vehicle as a cluster of nodes where the cluster provides the key inference on how the vehicles are interrelated in the learning environment.
Volume: 17
Issue: 3
Page: 1390-1398
Publish at: 2020-03-01

Lifelong learning tendencies of trainers in adult education

10.11591/ijere.v9i1.20365
Şener Şentürk , Volkan Duran
Life-long learning competencies, skills and attitudes are of having significance for education processes. The study was designed based on the correlational survey model. Population consists of 354 trainers in Public Education Centers in Samsun. In terms gender, there was a significant difference in lack of regulation and lack of curiosity dimension in favour of females in terms of lifelong learning tendencies. It was found that as the age level increases, the tendency to persistence which is the sub-factor of lifelong tendencies increases. It was found that as the level of education increases, persistence level decreases and regulation skill increases. No statistically significant difference was found between the mean scores of lifelong learning tendencies in terms of professional seniority variable and mode of their work. It was seen that the trainers who did not receive pedagodical formation had higher tendency in the fields of motivation and persistence. It was found that there was a significant difference in the sub-dimension of lack of regulation of learning according to the existance of any curriculum related to their field of study in favour of saying “no”.
Volume: 9
Issue: 1
Page: 1-9
Publish at: 2020-03-01

Exploration on digital marketing as business strategy model among Malaysian entrepreneurs via neurocomputing

10.11591/ijai.v9.i1.pp18-24
Hazrita Ab Rahim , Shafaf Ibrahim , Saadi Bin Ahmad Kamaruddin , Nor Azura Md. Ghani , Ismail Musirin
Artificial Intelligence is great when it comes to routine activities and vast amounts of data are analyzed. This can be done more quickly and efficiently than men. In the world of digital marketing, Artificial Intelligence is quickly coming into play. With Artificial Intelligence joining the digital marketing environment, predicting user behavior, search cycles, and much more will be easier. This can support websites that are highly user-friendly for organizations. Moreover, with the aid of Artificial Intelligence, content creation has become a faster and easier task for brands. Practically, a company's degree of enterprise marketing can have an effect on its overall business efficiency. Entrepreneurial marketing is driven by entrepreneurial opportunities which involves the proactive identification and exploitation of opportunities for acquiring and retaining profitable customers through Digital approaches to risk management, resource leveraging and value creation. This research was done by collecting data using semi structure questionnaire distributed to 169 start up owners in Klang Valley area. Using two-layer 6-3-1 with hyperbolic tangent-purelin configurations neural network model, it was found that proactiveness, risk taking, resource leveraging, opportunity focus, intensity and value add are the significant factors towards digital marketing respectively. It is expected that the findings would give some inputs to the Malaysian entrepreneurs on innovative digital marketing in their businesses, regardless the sizes.
Volume: 9
Issue: 1
Page: 18-24
Publish at: 2020-03-01

Proposed study on evaluating and forecasting the resident property value based on specific determinants by case base reasoning and artificial neural network approach

10.11591/ijeecs.v17.i3.pp1467-1473
Sinan Adnan Diwan
Real estate forecasting has become an integral part of the larger process of business planning and strategic management in real estate sector. This study covers residential estate markets and concentrates on property types, while previous studies that have considered country wide house price indices. There is a gap identified in the literature which need to study correlations between property types within a region or a city and whether they will provide diversification benefits for real estate investors such as risk reduction per unit of returns. This aim of the paper is to propose and develop a computer assisted real estate property price forecasting model. This proposed framework will examine the current uses of artificial intelligence, particularly combining case base reasoning and artificial neural network, in the business-forecasting field and considers suitable applications in real estate. The methodology consists of five phases: 1) Data gathering b) Data cleaning c) ANN Training d) CBR (Case Base Reasoning) similarity retrieval e) Result retrieval. This research will investigate the influence of residential real estate property characteristics on property values (prices) in global context, it revealed a high positive linear correlation between property characteristics and the property market values; an indication that these characteristics reasonably predict property market values. The results of the study will enable Real Estate Professionals to make fair estimates of the market values of residential real estate properties given the features/characteristics of such housing units.
Volume: 17
Issue: 3
Page: 1467-1473
Publish at: 2020-03-01

Veins projection performance based on ultrasonic distance sensor in various surface objects

10.11591/ijeecs.v17.i3.pp1362-1370
I Putu Adi Surya Gunawan , Riyanto Sigit , Agus Indra Gunawan
Intravenous therapy aims to inject fluids such as medicine or nutritions into the body via vein vessel. This procedure is needed in various cases whether in an ordinary or emergency. Every person has a different difficulty level thus a nurse usually encountered a problem when locating the position of vein vessel. A visualization device that able to work in realtime and have high mobility is really necessary for an emergency situation to speed up the intravenous access. In this study, a stand-alone veins visualization system was developed. The back-projection method that can adjust based on distance was used to speed up the visualization process. The distance between the device and the object is obtained by an ultrasonic distance sensor. The results of this projection method with a flat surface have maximum shift of 0.48 mm. While on various surfaces, projection shifts under 0.9 mm reach 89% from 140 measurement points. Projection shifts that reach more than 0.9 mm occurred due to the sensor readings are on steep curvature or large angles between segments and sensors.
Volume: 17
Issue: 3
Page: 1362-1370
Publish at: 2020-03-01

A deep learning based technique for plagiarism detection: a comparative study

10.11591/ijai.v9.i1.pp81-90
Hambi El Mostafa , Faouzia Benabbou
The ease of access to the various resources on the web-enabled the democratization of access to information but at the same time allowed the appearance of enormous plagiarism problems. Many techniques of plagiarism were identified in the literature, but the plagiarism of idea steels the foremost troublesome to detect, because it uses different text manipulation at the same time. Indeed, a few strategies have been proposed to perform semantic plagiarism detection, but they are still numerous challenges to overcome. Unlike the existing states of the art, the purpose of this study is to give an overview of different propositions for plagiarism detection based on the deep learning algorithms. The main goal of these approaches is to provide a high quality of worlds or sentences vector representation. In this paper, we propose a comparative study based on a set of criterions like: Vector representation method, Level Treatment, Similarity Method and Dataset. One result of this study is that most of researches are based on world granularity and use the word2vec method for word vector representation, which sometimes is not suitable to keep the meaning of the whole sentences. Each technique has strengths and weaknesses; however, none is quite mature for semantic plagiarism detection.
Volume: 9
Issue: 1
Page: 81-90
Publish at: 2020-03-01
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