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The TAWOCK conceptual model at content knowledge for professional teaching in vocational education

10.11591/ijere.v9i3.20561
Zainal Arifin , Muhammad Nurtanto , Warju Warju , Rabiman Rabiman , Nur Kholifah
Now days, the integration of technology in the concept of learning is the trend in global education. The conceptual framework model is a general reference, and the only concept is Technology, Pedagogy, and Content Knowledge (TPACK). However, vocational education has knowledge of specific content, so adjusting conceptual models in professional learning is important to learn and offer. The purpose of this study is to evaluate the concept of TPACK into the concept of vocational education to improve the professionalism of vocational teachers in content knowledge. The author discusses the knowledge structure of vocational fields that are built based on work, content, technology, and the suitability of the learning approach. Based on the results of the article found a new construction in building knowledge in the field of vocational education with special expertise characteristics and shifting pedagogical concepts towards andragogy in learning concept. The results of the analysis recommend the TPACK concept transformed into the Technology, Andragogy, Work, and Content Knowledge (TAWOCK) concept in vocational learning.
Volume: 9
Issue: 3
Page: 697-703
Publish at: 2020-08-01

Real power loss diminution by predestination of particles wavering search algorithm

10.11591/ijict.v9i2.pp92-99
Kanagasabai Lenin
In this work Predestination of Particles Wavering Search (PPS) algorithm has been applied to solve optimal reactive power problem. PPS algorithm has been modeled based on the motion of the particles in the exploration space. Normally the movement of the particle is based on gradient and swarming motion.  Particles are permitted to progress in steady velocity in gradient-based progress, but when the outcome is poor when compared to previous upshot, immediately particle rapidity will be upturned with semi of the magnitude and it will help to reach local optimal solution and it is expressed as wavering movement. In standard IEEE 14, 30, 57,118,300 bus systems Proposed Predestination of Particles Wavering Search (PPS) algorithm is evaluated and simulation results show the PPS reduced the power loss efficiently.
Volume: 9
Issue: 2
Page: 92-99
Publish at: 2020-08-01

Multi-stage secure clusterhead selection using discrete rule-set against unknown attacks in wireless sensor network

10.11591/ijece.v10i4.pp4296-4304
Tejashwini N. , D. R. Shashi Kumar , K. Satyanarayana Reddy
Security is the rising concern of the wireless network as there are various forms of reonfigurable network that is arised from it. Wireless sensor network (WSN) is one such example that is found to be an integral part of cyber-physical system in upcoming times. After reviewing the existing system, it can be seen that there are less dominant and robust solutions towards mitigating the threats of upcoming applications of WSN. Therefore, this paper introduces a simple and cost-effective modelling of a security system that offers security by ensuring secure selection of clusterhead during the data aggregation process in WSN. The proposed system also makes construct a rule-set in order to learn the nature of the communication iin order to have a discrete knowledge about the intensity of adversaries. With an aid of simulation-based approach over MEMSIC nodes, the proposed system was proven to offer reduced energy consumption with good data delivery performance in contrast to existing approach.
Volume: 10
Issue: 4
Page: 4296-4304
Publish at: 2020-08-01

FANET optimization: a destination path flow model

10.11591/ijece.v10i4.pp4381-4389
Bashir Olaniyi Sadiq , A. T. Salawudeen
Closed-loop routing in flying ad hoc networks (FANET) arises as a result of the quick changes of communication links and topology. As such, causing link breakage during information dissemination. This paper proposed a destination path flow model to improve the communication link in FANET. The models utilized Smell Agent Optimization and Particle Swarm Optimization algorithms in managing link establishment between communicating nodes. The modeled scenario depicts the practical application of FANET in media and sports coverage where only one vendor is given the license for live coverage and must relay to other vendors. Three different scenarios using both optimization Algorithms were presented. From the result obtained, the SAO optimizes the bandwidth costs much better than PSO with a percentage improvement of 10.46%, 4.04% and 3.66% with respect to the 1st, 2nd and 3rd scenarios respectively. In the case of communication delay between the FANET nodes, the PSO has a much better communication delay over SAO with percentage improvement of 40.89%, 50.26% and 68.85% in the first, second and third scenarios respectively.
Volume: 10
Issue: 4
Page: 4381-4389
Publish at: 2020-08-01

Data loss prevention (DLP) by using MRSH-v2 algorithm

10.11591/ijece.v10i4.pp3615-3622
Basheer Husham Ali , Ahmed Adeeb Jalal , Wasseem N. Ibrahem Al-Obaydy Al-Obaydy
Sensitive data may be stored in different forms. Not only legal owners but also malicious people are interesting of getting sensitive data. Exposing valuable data to others leads to severe Consequences. Customers, organizations, and /or companies lose their money and reputation due to data breaches. There are many reasons for data leakages. Internal threats such as human mistakes and external threats such as DDoS attacks are two main reasons for data loss. In general, data may be categorized based into three kinds: data in use, data at rest, and data in motion. Data Loss Prevention (DLP) are good tools to identify important data. DLP can do analysis for data content and send feedback to administrators to make decision such as filtering, deleting, or encryption. Data Loss Prevention (DLP) tools are not a final solution for data breaches, but they consider good security tools to eliminate malicious activities and protect sensitive information. There are many kinds of DLP techniques, and approximation matching is one of them. Mrsh-v2 is one type of approximation matching. It is implemented and evaluated by using TS dataset and confusion matrix. Finally, Mrsh-v2 has high score of true positive and sensitivity, and it has low score of false negative.
Volume: 10
Issue: 4
Page: 3615-3622
Publish at: 2020-08-01

Policy resolution of shared data in online social networks

10.11591/ijece.v10i4.pp3767-3776
Nisha P. Shetty , Balachandra Muniyal , Saleh Mowla
Online social networks have practically a go-to source for information divulging, social exchanges and finding new friends. The popularity of such sites is so profound that they are widely used by people belonging to different age groups and various regions. Widespread use of such sites has given rise to privacy and security issues. This paper proposes a set of rules to be incorporated to safeguard the privacy policies of related users while sharing information and other forms of media online. The proposed access control network takes into account the content sensitivity and confidence level of the accessor to resolve the conflicting privacy policies of the co-owners.
Volume: 10
Issue: 4
Page: 3767-3776
Publish at: 2020-08-01

Acceptance of E-learning among university students in UAE: A practical study

10.11591/ijece.v10i4.pp3660-3671
Ahmad Qasim Mohammad AlHamad
The objective of the study is to find out the factors which affect the acceptance of E-learning among students and how the students’ purpose of using E-learning is determined by these factors. The research was based on the Technology Acceptance Model (TAM). The researcher developed a questionnaire to gather data from a sample of 366 university students who actively used the E-learning system. According to the results of the study, subjective norms, perceived usefulness, perceived ease of use, enjoyment, and accessibility” are the vital predictors behind the intention of students for using E-learning systems. This indicates that extended TAM is applicable in the UAE. The results show that policymakers and education developers should take E-learning system seriously since it can be opted not just as a technological solution but also as a learning platform for students belonging to a distant area. The results present practical implications for education developers, policymakers and practitioners in devising useful plans to implement E-learning systems.
Volume: 10
Issue: 4
Page: 3660-3671
Publish at: 2020-08-01

Dengue vector surveillance (Aedes albopictus) with ovitrap and attractants from imperata immersion (Imperata cylindrica)

10.11591/ijphs.v9i4.20544
M. Rasyid Ridha , Budi Hairani , Akhmad Rosanji , Abdullah Fadilly , Gusti Meliyanie
Efforts to control the vector in reducing the population of Aedes albopictus can be done by using attractants with ovitrap. This study aims to determine the variation of Imperata cylindrica raeusch's immersion straw immersion dose on the number of eggs and hatchability of Aedes albopictus in the laboratory. Research type is a true experiment with a completely randomized design (CRD). The material used is Imperata cylindrica raeusch soaking with 5%, 10%, 15%, 20% concentration and aquadest as a control with 5 replications. The results showed that Imperata grass soaking was proven to be effective as an attractant in Aedes albopictus mosquitoes and was able to inhibit the number of eggs that hatch. Utilization of Imperata straw soaking can be used as an additive in the ovitrap in dengue vector surveillance.
Volume: 9
Issue: 4
Page: 286-291
Publish at: 2020-07-17

E-PAC: efficient password authentication code based RMPN method and diffie-hellman algorithm

10.11591/ijeecs.v19.i1.pp485-491
Salah H. Abbdal Refish , Salam Waley Shneen
Users need more efficient and more secure  when they use the Internet. Password authentication code (PAC) is the critical issue in many applications such as web-sites and data base systems etc. In this paper, PAC between two users to confirm authentication between them based two factors has presented.. Two factors is the most good solution in this field. A legitimate user needs to make sure about his partner to ensure their communication.  So, this solution produces two important algorithms, the first one is utilized the Diffie-Hellman which considered the base of this work. The second is routing in message passing networks (RMPN) algorithm which determine the positions of bits which sent to specific party. The overall of this method convincingly to be more secure against both online and offline attacks. This scheme has some advantages such as secrecy of session key, password privacy, and mutual authentication. The performance and security analyses prove that the scheme is very efficient and mathematically immune for attackers.
Volume: 19
Issue: 1
Page: 485-491
Publish at: 2020-07-01

Classification of healthy and white root disease infected rubber trees based on relative permittivity and capacitance input properties using LM and SCG artificial neural network

10.11591/ijeecs.v19.i1.pp222-228
Mohd Suhaimi Sulaiman , Zuraidi Saad
White root disease is one of the most serious diseases in rubber plantation in Malaysia that originally infects on the root surface of the rubber tree. So, prevention is important compared to treatment. The classification system proposed in the research had the ability of detecting the disease by classifying between healthy rubber trees and white root disease infected rubber trees. 600 samples of latex from healthy rubber trees and white root disease infected rubber trees were taken from the RRIM station in Kota Tinggi, Johor. These samples were measured based on its relative permittivity and capacitance. All of the measurement inputs from the experiment were tested using statistical analysis. These measurement input were then went through the process of classification in ANN to generate the optimized models by using LM and SCG algorithm. There were four optimized models selected from the classification process. The accuracy from the selected most optimized models were greater than 70%. The selected most optimized models were then used to classify between healthy trees and white root infected trees based on single input categories. 
Volume: 19
Issue: 1
Page: 222-228
Publish at: 2020-07-01

Design of 130nm RFCMOS differential low noise amplifier

10.11591/ijeecs.v19.i1.pp172-177
Maizan Muhamad , Hanim Hussin , Norhayati Soin
In this paper, an inductively degenerated CMOS differential low noise amplifier circuit topology is presented. This low noise amplifier is intended to be used for wireless LAN application. The differential low noise amplifier proposed provide high gain, low noise and large superior out of band IIP3. The LNA is designed in 130 nm CMOS technology. Simulated results of gain and NF at 2.4GHz are 20.46 dB and 2.59 dB, respectively. While the simulated S11 and S22 are −11.18 dB and −9.49 dB, respectively. The IIP3 is −9.05 dBm. The LNA consumes 3.4 mW power from 1.2V supply. 
Volume: 19
Issue: 1
Page: 172-177
Publish at: 2020-07-01

Multi-perspectives crowdsourcing ecosystem in Malaysia

10.11591/ijeecs.v19.i1.pp435-441
Norjansalika Janom , Raja Nurul Azhani , Syaripah Ruzaini Syed Aris , Nor Shahniza Kamal Bashah , Noor Habibah Arshad , Muhammad Hakim Nadir
Crowdsourcing has been known as developing industry that able to be used as a platform to get more income and provide opportunity for busineses to conduct their operation in more innovative ways.  Crowdsourcing has become an effective way for the companies to offer work opportunity for crowd outside organization to apply their abilities and skills, and receive more money.  Under the Malaysian government initiatives called Digital economy, various crowdsourcing efforts and programs have been introduced to catch up with the global development.   The ecosystem of crowdsourcing which consists of job provider, platform, micro worker and industry is considered still in a formative stage.  Thus, the integration of all these components is not fully discovered and understood yet which, can cause confusion among the crowdsourcing industry players.   In order to understand the complex integration of multi perspective micro sourcing ecosystem, the components and its significance priority level need to be identified. In this study, the components that involved in crowdsourcing ecosystem were identified and ranked using analytical hierarchy process (AHP) method. The results can be later used by crowdsourcing industry players to plan more proper crowd sourcing strategic development  in Malaysia.
Volume: 19
Issue: 1
Page: 435-441
Publish at: 2020-07-01

Intelligent security system detects the hidden objects in the smart grid

10.11591/ijeecs.v19.i1.pp188-195
Ammar Wisam Altaher , Abdullah Hasan Hussein
Monitoring the general public gathered in large numbers is one of the most challenging tasks faced by the law and order enforcement team. There is swiftly demand to that have inbuilt sensors which can detect the concealed weapon, from a standoff distance the system can locate the weapon with very high accuracy. Objects that are obscure and invisible from human vision can be seen vividly from enhanced artificial vision systems. Image Fusion is a computer vision technique that fuses images from multiple sensors to give accurate information. Image fusion using visual and infrared images has been employed for a safe, non-invasive standoff threat detection system. The fused imagery is further processed for specific identification of weapons. The unique approach to discover concealed weapon based on DWT in conjunction with Meta heuristic algorithm Harmony Search Algorithm and SVM classification is presented. It firstly uses the traditional discrete wavelet transform along with the hybrid Hoteling transform to obtain a fused imagery. Then a heuristic search algorithm is applied to search the best optimal harmony to generate the new principal components of the registered input images which is later classified using the K means support vector machines to build better classifiers for concealed weapon detection. Experimental results demonstrate the hybrid approach which shows the superior performance.
Volume: 19
Issue: 1
Page: 188-195
Publish at: 2020-07-01

Performance evaluation of wireless sensor networks using LEACH protocol

10.11591/ijeecs.v19.i1.pp395-402
Anas Ali Hussien , Shaymaa Waleed Al-Shammari , Mehdi J. Marie
Recent days witnessed considerable developments in the field of wireless sensor networks (WSNs). The applications of these networks can be seen in the simple consumer electronic devices as well as in the advanced space technology. The communication protocols are of prior importance and interest; the low-energy adaptive clustering hierarchy (LEACH) protocol is used to enhance the performance of power consumption for the WSNs nodes. The efficiency of a wireless network can be affected by different factors, such as the size of the WSN and the initial energy of the sensor node. This can inspire the researchers to develop the optimum structure of the WSNs to get its desired functionality. In this paper, the performance of the low-energy adaptive clustering hierarchy (LEACH) protocol is investigated using MATLAB to study the effect of the initial energy of the sensor node and the WSN size on the number of the running nodes. It is found that increasing the initial energy of a sensor node increases the life time of the node and hence the number of the running nodes. It has been also approved that the WSN size has an inverse proportion with the number of running sensor nodes during the use of LEACH protocol.
Volume: 19
Issue: 1
Page: 395-402
Publish at: 2020-07-01

Speaker ethnic identification for continuous speech in malay language using pitch and MFCC

10.11591/ijeecs.v19.i1.pp207-214
Rafizah Mohd Hanifa , Khalid Isa , Shamsul Mohamad
Voice recognition has evolved exponentially over the years. The purpose of voice recognition or sometimes called speaker identification, is to identify the person who is speaking. This can be done by extracting features of speech that differ between individuals due to physiology (shape and size of the mouth and throat) and also behavioral patterns (pitch, accent and style of speaking). This paper explains an approach of voice recognition to identify the ethnicity of Malaysian people. Pitch and 13 Mel-Frequency Cepstrum Coefficients (MFCCs) are extracted from 52 recorded continuous speech in Malay for use as features to train the classifiers using Tree, Naïve Bayes, Nearest Neighbors and Support Vector Machine (SVM) and another 10 recorded speeches are used for testing. The results reveal that the use of a combination of pitch and 13 coefficients for features extraction and training the data using SVM provide better accuracy (57.7%) than the use of only 13 coefficients (53.8%).
Volume: 19
Issue: 1
Page: 207-214
Publish at: 2020-07-01
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