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29,922 Article Results

Web-based material requisition system in the supply chain of construction businesses

10.11591/ijece.v11i2.pp1531-1538
Afolabi Olushola Adedeji , Abraham Yewande S. , Awosika Oluwafikunmi
In the construction project delivery process, the supply chain of construction businesses can only be efficient and effective based on the prompt availability of building materials. Whereas, the process of requisition for the materials on the construction site, if not handled appropriately, can adversely affect construction performance. Therefore, the study was aimed at developing a web-based material requisition system (W-BMRS) that will make the supply chain on construction sites seamless and more effective. A use case and an activity block diagram provided an understanding of the users and functionalities of the material requisition platform. In addition, using a different user interface and a database system including a programming language to connect them, the study developed a web-based material requisition system for construction firms using the model view controller (MVC) model. The MVC model comprised of using MySQL, HTML, and PHP. The W-BMRS was tested by sending materials requisition through the supply chain of a construction firm. The results were presented via screenshots of the web-based platform. In conclusion, any construction firm can register on the platform and make use of the web-based materials requisition system to maximize productivity and optimize the use of ICT in their materials’ supply chain process.
Volume: 11
Issue: 2
Page: 1531-1538
Publish at: 2021-04-01

Effects of humidity on sand and dust storm attenuation predictions based on 14 GHz measurement

10.12928/telkomnika.v19i2.18148
Eltahir Idris Eltahir; International Islamic University Malaysia Mohamed , Elfatih A. A.; King Khalid University Elsheikh , A. Awad; Karary University Babiker , Islam Md.; International Islamic University Malaysia Rafiqul , Mohamad Hadi; International Islamic University Malaysia Habaebi , Aisha H.; International Islamic University Malaysia Abdulla , Elessaid; Karary University Saad
Several models were proposed to predict the attenuation of microwave signals due to sand and dust storms. Those models were developed based on theoretical assumptions like Rayleigh approximation, Mie equations or numerical methods. This paper presents a comparison between attenuation predicted by three different theoretical models with measured attenuation at 14 GHz. Dielectric constant of dust particles is one of the important parameter in prediction models. This constant is estimated from measured dust samples and is utilized for predictions. All models are found largely underestimating the measurement. Humidity is also monitored and has been observed higher during dust storm. Hence dielectric constants are re-estimated with relative humidity conditions using available conversion model. The prediction has a great impact of humidity and predicted attenuations are found much higher in humid than dry dust condition. However, all models underestimate the measurement even considering 100% of relative humidity. Hence it is recommended to investigate the models by considering humidity and other environmental factors that change during dust storm.
Volume: 19
Issue: 2
Page: 364-371
Publish at: 2021-04-01

Generation and collection of data for normal and conflicting flows in software defined network flow table

10.11591/ijeecs.v22.i1.pp307-314
Mutaz Hamed Hussien Khairi , Sharifah H. S. Ariffin , N. M. Abdul Latiff , Kamaludin Mohamad Yusof
In terms of network simplification and regulation, Software Defined Networking (SDN) is a new form of infrastructure that offers greater adaptability and flexibility. SDN, however, is an invention that is logically centralized. In addition, the optimization of the control plane and data plane in SDN has become an area deserving of more attention. The flow in OpenFlow has been one of the essential parameters in the SDN standards, in which every individual flow includes packet matching fields, flow priority, separate counters, instructions for packet forwarding, flow timeouts and a cookie. This research work is conducted in order to produce and collect flows from the OpenFlow switch in two scenarios; in normal flows and when conflict policy rules are enforced in the network. In this article, the throughput is required to review and evaluate the conflict impact on two protocols as a performance metric; the Transmission Control Protocol (TCP) and the User Datagram Protocol (UDP) that flows via a forwarded plane. During the simulation of the SDN OpenFlow network, the metrics are tested using MININET. The results demonstrate that the existence of SDN conflict rules allows TCP and UDP to have a significant average change in bandwidth that eventually affects the network and operations performance.
Volume: 22
Issue: 1
Page: 307-314
Publish at: 2021-04-01

Embedding the three pass protocol messages into transmission control protocol header

10.11591/ijeecs.v22.i1.pp442-449
Suherman Suherman , Deddy Dikmawanto , Syafruddin Hasan , Marwan Al-Akaidi
Transmission control protocol provides reliable communication between two or more parties. Each transmitted packet is acknowledged to make sure successful deliveries. Transport layer security protocols send security information exchange as TCP loads. As results, the handshaking stage experiences longer delay as TCP acknowledgement process has already been delay prone. Furthermore, the security message transfers may have their own risks as they are not well protected yet. This paper proposes TCP-embedded three pass protocol for dynamic key exchange. The key exchange is embedded into TCP headers so that transmission delay is reduced, and message transfer is secured. The proposed protocol was assessed on self network by using socket programming in lossless environment. The assessments showed that the proposed protocol reduced three-pass protocol message transfer delay up to 25.8% on lossless channel. The assessment on security also showed that TCP-embedded three pass protocol successfully secured each transmitted TCP load using a unique key; that is much securer than the compared method.
Volume: 22
Issue: 1
Page: 442-449
Publish at: 2021-04-01

Clusterization of customer energy usage to detect power shrinkage in an effort to increase the efficiency of electric energy consumption

10.11591/ijeecs.v22.i1.pp10-17
Yessy Asri , Dwina Kuswardani , Efy Yosrita , Ferdinand Hendrik Wullur
Automatic meter reading (AMR) is a reading system result the measurement of electrical energy consumen, both locally and remotely. The problems faced is the high non-technical shrinkage of AMR customers due to installation, maintenance errors as well as dishonest actions some consumers, this has a major influence on electrical power losses. PT. PLN Disjaya currently faces difficulties having to choose which customers should be checked first, so the field can only find a little damage. The K-means method based on historical electric power usage and determine the most optimal number of groups the davies-bouldin index (DBI) method. Based on the results of testing with 2-6 sets of clusters, the cluster set results are the most optimal is set cluster 4 because it has the smallest DBI value 0.893. The set of 4 clusters has the best performance in data grouping of historical power usage of AMR customers the business class, each centroid of each cluster is used as an attribute and value of the AMR customer power usage business chart. The testing phase is customers who categorized as customers with un-normal usage electricity power. The test is, by determining the distance data testing each centroid in the cluster 4 set.
Volume: 22
Issue: 1
Page: 10-17
Publish at: 2021-04-01

Forging a deep learning neural network intrusion detection framework to curb the distributed denial of service attack

10.11591/ijece.v11i2.pp1498-1509
Arnold Adimabua Ojugo , Rume Elizabeth Yoro
Today’s popularity of the internet has since proven an effective and efficient means of information sharing. However, this has consequently advanced the proliferation of adversaries who aim at unauthorized access to information being shared over the internet medium. These are achieved via various means one of which is the distributed denial of service attacks-which has become a major threat to the electronic society. These are carefully crafted attacks of large magnitude that possess the capability to wreak havoc at very high levels and national infrastructures. This study posits intelligent systems via the use of machine learning frameworks to detect such. We employ the deep learning approach to distinguish between benign exchange of data and malicious attacks from data traffic. Results shows consequent success in the employment of deep learning neural network to effectively differentiate between acceptable and non-acceptable data packets (intrusion) on a network data traffic.
Volume: 11
Issue: 2
Page: 1498-1509
Publish at: 2021-04-01

A fault-tolerant photovoltaic integrated shunt active power filter with a 27-level inverter

10.11591/ijece.v11i2.pp1166-1177
Kamel Saleh , Ameen Madi
This paper introduces a fault-tolerant shunt active power filter (SAPF). The novility in of this work is that it poposes a solutions to increase the reliability of shunt active power filter to maintain its operation under a single-phase open-circuit fault in the SAPF. This will increase the reliability of the whole power system. The SAPF is composed of a 4-leg 27-level inverter based on asymmetric cascaded H-bridge topology. If an open-circuit fault is introduced to the operation of the SAPF, a special control technique will be implemented and the redundant leg of the SAPF will be activated. The fault-tolerant SAPF can do many tasks under healthy operating conditions and post and open circuit fault depending on the state of charge (SOC) of the batteries. It can mitigate harmonics in the power system, improve power factor in the system by injecting reactive power, and inject real power to the system. The proposed SAPF is tested and simulated in MATLAB/Simulink and the results have shown a significant improvement in total harmonics distortion (THD) of the source current from 13.9% to 3.9% under the normal operating condition and from 42% to 8.4% post and open circuit fault.
Volume: 11
Issue: 2
Page: 1166-1177
Publish at: 2021-04-01

Design and implementation of dual-core MIPS processor for LU decomposition based on FPGA

10.11591/ijece.v11i2.pp1476-1484
Rusul Khalil Saad , Safaa S. Omran
Many systems like the control systems and in communication systems, there is usually a demand for matrix inversion solution. This solution requires many operations, which makes it not possible or very hard to meet the needs for real-time constraints. Methods were exists to solve this kind of problems, one of these methods by using the LU decomposition of matrix which is a good alternative to matrix inversion. The LU matrices are two matrices, the L matrix, which is a lower triangular matrix, and the U matrix, which is an upper triangular matrix. In this paper, a design of dual-core processor is used as the hardware of the work and certain software was written to enable the two cores of the dual-core processor to work simultaneously in computing the value of the L matrix and U matrix. The result of this work are compared with other works that using single-core processor, and the results found that the time required in the cores of the dual-core is more less than using single-core. The designed dual-core processor is invoked using the VHDL language.
Volume: 11
Issue: 2
Page: 1476-1484
Publish at: 2021-04-01

Improvement the voltage stability margin of Iraqi power system using the optimal values of FACTS devices

10.11591/ijece.v11i2.pp984-992
Ghassan Abdullah Salman , Hatim G. Abood , Mayyadah Sahib Ibrahim
The detection of potential voltage collapse in power systems is essential to maintain the voltage stability in heavy load demand. This paper proposes a method to detect weak buses in power systems using two stability indices: the voltage stability margin factor (dS/dY) and the voltage collapse prediction index (VCPI). Hence, the paper aims to improve the voltage stability of Iraqi transmission grid by allocating FACTS devices in the optimal locations and optimal sizes. Two types of FACTS are used in this paper which are Thyristor controlled series compensator (TCSC) and static var compensator (SVC). The objective function of the problem is fitted using particle swarm optimization (PSO). The proposed method is verified using simulation test on Diyala-132 kV network which is a part of the Iraqi power system. The results observed that improvement the voltage stability margin, the voltage profile of Diyala-132 kV is increased and the power losses is decreased.
Volume: 11
Issue: 2
Page: 984-992
Publish at: 2021-04-01

SAR distribution of non-invasive hyperthermia with microstrip applicators on different breast cancer stages

10.11591/ijeecs.v22.i1.pp232-240
Wong Vei Ling , Kasumawati Lias , Norlida Buniyamin , Hazrul Mohamed Basri , Mohammad Zulkaranen Ahmad Narihan
This paper presents the microstrip antenna with different applied frequencies used as a non-invasive hyperthermia applicator. This non-invasive hyperthermia applicator is introduced to clarify the sufficient heat distribution on the treated tissue for different breast cancer stages. 57 mammogram breast cancer images from early-stage to stage-3 are analyzed to obtain the required penetration depth and focus position distance. Then, the simulation-based experiment is carried out to observe the heating distribution on different stages of cancer with two different operating frequencies; 915MHz and 2450MHz. Also included in this paper is the prediction on the period for hyperthermia treatment planning execution. Based on the results, various penetration depths are obtained when different operating frequencies are applied. 915MHz antenna showed better results when compared to 2450MHz, where microstrip applicator with 915MHz is able to heat cancer at stage-1, stage-2, and stage-3 with good penetration depth and focus position distance, while 2450MHz only performed well in early-stage cancer. Meanwhile, different stages require various periods of time. From the results, the shortest period for hyperthermia execution simulated in the early-stage and then followed by stage-3, stage-2, and the longest period is in stage-1.
Volume: 22
Issue: 1
Page: 232-240
Publish at: 2021-04-01

An ICA-ensemble learning approaches for prediction of RNA-seq malaria vector gene expression data classification

10.11591/ijece.v11i2.pp1561-1569
Micheal Olaolu Arowolo , Marion O. Adebiyi , Ayodele A. Adebiyi , Charity Aremu
Malaria parasites introduce outstanding life-phase variations as they grow across multiple atmospheres of the mosquito vector. There are transcriptomes of several thousand different parasites. (RNA-seq) Ribonucleic acid sequencing is a prevalent gene expression tool leading to better understanding of genetic interrogations. RNA-seq measures transcriptions of expressions of genes. Data from RNA-seq necessitate procedural enhancements in machine learning techniques. Researchers have suggested various approached learning for the study of biological data. This study works on ICA feature extraction algorithm to realize dormant components from a huge dimensional RNA-seq vector dataset, and estimates its classification performance, Ensemble classification algorithm is used in carrying out the experiment. This study is tested on RNA-Seq mosquito anopheles gambiae dataset. The results of the experiment obtained an output metrics with a 93.3% classification accuracy.
Volume: 11
Issue: 2
Page: 1561-1569
Publish at: 2021-04-01

e-SimNet: a visual similar product recommender system for E-commerce

10.11591/ijeecs.v22.i1.pp563-570
Ssvr Kumar Addagarla , Anthoniraj Amalanathan
Visual similarity recommendations have an immense role in E-commerce portals. Fetching the appropriate similar products and suggesting to the buyers based on the product image's visual features is complex. Here in our research, we presented an efficient E-commerce similar product network model (e-SimNet) for visually similar recommendations. To achieve our objective, we have performed image feature extraction and generating embeddings using deep learning techniques and built an Index tree using the approximate nearest neighbor oh yeah (ANNOY) algorithm. Further, we have fetches top-N the near similar items using distance measure. We have benchmarked our model in terms of accuracy, error rate, and results show that better than other state-of-the-art approaches with 96.22% of accuracy.
Volume: 22
Issue: 1
Page: 563-570
Publish at: 2021-04-01

COVID-19 fever symptom detection based on IoT cloud

10.11591/ijece.v11i2.pp1823-1829
Mustafa Wassef Hasan
This paper presents a new method of detection COVID-19 fever symptoms depending on IoT cloud services to solve the higher time delay of checking the crowded clients that enter public or private agencies which can lead to a dangerous field to spread the disease. An automatically checking process is suggested using a practical experiment is developed using (ESP8266 Node MCU, Ultrasonic (SR-04), RFID (RC522), human body temperature (MAX30205) sensors, and ThingSpeak platform). Where Node MCU is open-source hardware used to transmit the received data (human temperature sensor) from the (MAX30205) to the cloud platform (ThingSpeak) then alert the monitoring manager user when the collected data reached a critical value that specified previously and automatically take action to solve this situation. At the same time, the cloud platform will provide a graphical representation of the received data to display it using different monitoring devices such as (computers, mobiles, and others).
Volume: 11
Issue: 2
Page: 1823-1829
Publish at: 2021-04-01

Dispatching the problems in implementing mobile payment services from consumer attitude perspective

10.11591/ijeecs.v22.i1.pp590-597
Hoang Thien Van , Vo Anh Tien , Huynh Cong Danh , Hoang-Sy Nguyen
Due to the abundance of internet and e-commerce (electronic commerce), an excessive amount of data has been generated causing an overload of information to the current network infrastructure. As an attempt to solve this problem, there is a shift to mobile payment in the field of E-commerce. Thus, it is essential to study the adoption level of such service for global markets in general and the Vietnamese market in specific. In this paper, we study the consumers' attitude toward mobile payment, investigated with the theory of planned behavior (TPB) from three perspectives, namely the consumer innovativeness, perceived benefit, and perceived risk. Accordingly, there are six hypotheses proposed to study the consumers' attitude toward the service. Thanks to the structural equation modeling (SEM) method, a population of 250 Vietnamese mobile payment users was analyzed to confirm five out of the six hypotheses. It is drawn that the attitude toward the service is correlated positively with the innovativeness and the perceived benefit, while being correlated negatively with the perceived risk. Besides, the resulted model can elucidate approximately 49% the consumers' intention to reuse the mobile payment service.
Volume: 22
Issue: 1
Page: 590-597
Publish at: 2021-04-01

Diagnosing MERS-CoV using dempster-shafer method

10.11591/ijict.v10i1.pp19-26
Memen Akbar , Fandy Hidayat , Wenda Novayani
MERS-CoV (Middle East Respiratory Syndrome-Coronavirus) is a respiratory syndrome disease caused by the coronavirus which attacks the respiratory tract from mild to severe. MERS-CoV was first reported in Saudi Arabia; total cases of MERS-CoV have continued to increase. In Indonesia, the MERS-CoV enters through the pilgrimage of Hajj and Umrah. But not many people know about this disease and its symptoms. For this reason, an expert system was developed to diagnose MERS-CoV using the Dempster-Shafer method. The system can detect the disease from the symptoms inputted by user. The output of the system is the value of the probability of the disease, the level of the disease and the suggested. The levels of the disease are Stage 1, Stage 2, and Stage 3 where each has a different treatment based on the level of the disease. The system contains information about MERS-CoV in the form of videos and text. The system was built using the PHP programming language. The testing result shows that all system functionalities have been fulfilled. The expert validation testing had obtained at 76.7%, which prove that the system is good enough in diagnosing MERS-CoV and the results obtained from the questionnaire is at an average of 84.13% which is very good in helping users in diagnosing disease. The expert system that has been developed can help people in diagnosing the disease before consulting with a doctor.MERS-CoV (Middle East Respiratory Syndrome-Coronavirus) is arespiratory syndrome disease caused by the coronavirus which attacks therespiratory tract from mild to severe. MERS-CoV was first reported in SaudiArabia; total cases of MERS-CoV have continued to increase. In Indonesia,the MERS-CoV enters through the pilgrimage of Hajj and Umrah. But notmany people know about this disease and its symptoms. For this reason, anexpert system was developed to diagnose MERS-CoV using the DempsterShafer method. The system can detect the disease from the symptomsinputted by user. The output of the system is the value of the probability ofthe disease, the level of the disease and the suggested. The levels of thedisease are Stage 1, Stage 2, and Stage 3 where each has a different treatmentbased on the level of the disease. The system contains information aboutMERS-CoV in the form of videos and text. The system was built using thePHP programming language. The testing result shows that all systemfunctionalities have been fulfilled. The expert validation testing had obtainedat 76.7%, which prove that the system is good enough in diagnosing MERSCoV and the results obtained from the questionnaire is at an average of84.13% which is very good in helping users in diagnosing disease. Theexpert system that has been developed can help people in diagnosing thedisease before consulting with a doctor. 
Volume: 10
Issue: 1
Page: 19-26
Publish at: 2021-04-01
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