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29,922 Article Results

Efficient two-stage cryptography scheme for secure distributed data storage in cloud computing

10.11591/ijece.v10i3.pp3295-3306
Rabab F. Abdel-Kader , Samar H. El-sherif , Rawya Y. Rizk
Cloud computing environment requires secure access for data from the cloud server, small execution time, and low time complexity. Existing traditional cryptography algorithms are not suitable for cloud storage. In this paper, an efficient two-stage cryptography scheme is proposed to access and store data into cloud safely. It comprises both user authentication and encryption processes. First, a two-factor authentication scheme one-time password is proposed. It overcomes the weaknesses in the existing authentication schemes. The proposed authentication method does not require specific extra hardware or additional processing time to identity the user. Second, the plaintext is divided into two parts which are encrypted separately using a unique key for each. This division increases the security of the proposed scheme and in addition decreases the encryption time. The keys are generated using logistic chaos model theory. Chaos equation generates different values of keys which are very sensitive to initial condition and control parameter values entered by the user. This scheme achieves high-security level by introducing different security processes with different stages. The simulation results demonstrate that the proposed scheme reduces the size of the ciphertext and both encryption and decryption times than competing schemes without adding any complexity.
Volume: 10
Issue: 3
Page: 3295-3306
Publish at: 2020-06-01

A business model canvas for crowdfunding platform: case study of crowdfunding platforms in Malaysia

10.11591/ijeecs.v18.i3.pp1287-1294
Muhammad Hakim Bin Nadir , Syaripah Ruzaini Syed Aris , Norjansalika Janom , Fauziah Ahmad , Noor Habibah Arshad , Nor Shahniza Kamal Bashah
Crowdfunding allows entrepreneurs raise fund to help subsidizing their project. In other country, crowdfunding platform has become famous. In the contrary, it is yet to be trend in Malaysia. Financing using internet still irrelevant among Malaysian citizen. Without a proper guideline and strong crowdfunding platform based in Malaysia as a benchmark, it is hard to convince entrepreneurs and funders to consider crowdfunding as an option to fund a project. This research thus proposed business model canvas which can be applied by the crowdfunding platform organizations to manage their business and operation more efficiently. Case study method has been employed with two techniques of data collection: interview and document review. Two crowdfunding platforms based in Malaysia participated in the case study. The findings show that both crowdfunding platforms have fundamental business model elements that made of a solid foundation as a crowdfunding platform. These results offer insight into crowdfunding environment and how it links to another necessary part of business for it to function as a successful business. Nine building blocks fits well in the crowdfunding platform business model elements namely partner network, core competency, key resources, value proposition, customer relationship, distribution channel, customer segments, cost structure and revenue stream. Interestingly, the findings revealed another imperative element that should be part of the canvas: risk management.
Volume: 18
Issue: 3
Page: 1287-1294
Publish at: 2020-06-01

Thermal response of skin diseased tissue treated by plasmonic nanoantenna

10.11591/ijece.v10i3.pp2969-2977
Rasha H. Mahdi , Hussein A. Jawad
The thermal distribution in the diseased tissue treated by different methods faces the problem of an uncontrollable defused heat. In the present article, we use a plasmonic bowtie nanoantenna working in the near infrared region to enhance the temperature confinement in the tissue. The Computer Simulation Technology Studio Suite package version 2019 was used to execute the design of both plasmonic nanoantenna and the tissue. Gold nanostructure and silicon carbide dioxide are the components the plasmonic nanoantenna in the bowtie shape. The results showed that the distance between the tumor tissue and the antenna is important to determine the intensity field where the maximum field is 5.9*107 V/m at a distance of 100 nm. The maximum specific absorption rate is 1.92*1011 W/kg at a similar distance which gives a higher temperature in the tissue of 580 Co. It is concluded that from the obtained results that the near infrared (1064 nm) resonance wavelength is recommended in the treatment of cancer cell by plasmonic bowtie nanoantenna because higher intensity field is generated. The closer distance to the nanoantenna gives higher temperature in the tissue while the temperature gradually decreases in the tissue till 400 nm where no valuable temperature was detected.
Volume: 10
Issue: 3
Page: 2969-2977
Publish at: 2020-06-01

Active and reactive power sharing in micro grid using droop control

10.11591/ijece.v10i3.pp2235-2244
Omar Feddaoui , Riad Toufouti , Labed Djamel , Salima Meziane
The development of renewable energy contributes to the global objectives of reducing our greenhouse gas emissions, obtaining and increasing our energy efficiency. In the face of these changes, the electric-network must adapt, while maintaining a high level of reliability and a quality of energy production. To meet this objective, it is recommended to use highly developed electrical network by integrating renewable energy sources in order to adapt the energy consumption to their production, using electro-technical software information and telecommunications technologies. We are talking about intelligent grids (Smart Grid). The main objective of the work presented in this paper is the contribution to the study of intelligent network for efficient management of energy produced by several sources linked to the AC bus via the voltage inverters. Numerical simulations have been presented to validate the performance of the proposed active and reactive power controller (Droop Control).
Volume: 10
Issue: 3
Page: 2235-2244
Publish at: 2020-06-01

Accurate leakage current models for MOSFET nanoscale devices

10.11591/ijece.v10i3.pp2313-2321
Abdoul Rjoub , Mamoun Mistarihi , Nedal Al Taradeh
This paper underlines a closed forms of MOSFET transistor’sleakage current mechanisms inthe sub 100nmparadigm.The incorporation of draininduced barrier lowering (DIBL), Gate Induced Drain Lowering (GIDL) and body effect (m) on the sub-threshold leakage (Isub) wasinvestigated in detail. The Band-To-Band Tunneling (IBTBT) due to the source and Drain PN reverse junction were also modeled witha close and accurate model using a rectangularapproximation method (RJA). The three types of gate leakage (IG) were also modeled and analyzed for parasitic (IGO), inversion channel (IGC), and gate substrate (IGB).In addition, the leakage resources due to the aggressive reduction in the oxide thickness (
Volume: 10
Issue: 3
Page: 2313-2321
Publish at: 2020-06-01

A comprehensive insight towards Pre-processing Methodologies applied on GPS data

10.11591/ijece.v10i3.pp2742-2754
R. Prabha , Mohan G Kabadi
Reliability in the utilization of the Global Positioning System (GPS) data demands a higher degree of accuracy with respect to time and positional information required by the user. However, various extrinsic and intrinsic parameters disrupt the data transmission phenomenon from GPS satellite to GPS receiver which always questions the trustworthiness of such data. Therefore, this manuscript offers a comprehensive insight into the data preprocessing methodologies evolved and adopted by present-day researchers. The discussion is carried out with respect to standard methods of data cleaning as well as diversified existing research-based approaches. The review finds that irrespective of a good number of work carried out to address the problem of data cleaning, there are critical loopholes in almost all the existing studies. The paper extracts open end research problems as well as it also offers an evidential insight using use-cases where it is found that still there is a critical need to investigate data cleaning methods.
Volume: 10
Issue: 3
Page: 2742-2754
Publish at: 2020-06-01

Human gait recognition using preprocessing and classification techniques

10.11591/ijece.v10i3.pp2978-2985
Samer Kais Jameel , Jihad Anwar Qadir , Mohammed Hussein Ahmed
Biometric recognition systems have been attracted numerous researchers since they attempt to overcome the problems and factors weakening these systems including problems of obtaining images indeed not appearing the resolution or the object completely. In this work, the object movement reliance was considered to distinguish the human through his/her gait. Some losing features probably weaken the system’s capability in recognizing the people, hence, we propose using all data recorded by the Kinect sensor with no employing the feature extraction methods based on the literature. In these studies, coordinates of 20 points are recorded for each person in various genders and ages, walking with various directions and speeds, creating 8404 constraints. Moreover, pre-processing methods are utilized to measure its influences on the system efficiency through testing on six types of classifiers. Within the proposed approach, a noteworthy recognition rate was obtained reaching 91% without examining the descriptors.
Volume: 10
Issue: 3
Page: 2978-2985
Publish at: 2020-06-01

A robust diagnosis method for speed sensor fault based on stator currents in the RFOC induction motor drive

10.11591/ijece.v10i3.pp3035-3046
Cuong Dinh Tran , Pavel Brandstetter , Minh Chau Huu Nguyen , Sang Dang Ho , Bach Hoang Dinh , Phuong Nhat Pham
A valid diagnosis method for the speed sensor failure (SSF) is an essential requirement to ensure the reliability of Fault-Tolerant Control (FTC) models in induction motor drive (IMD) systems. Most recent researches have focused on directly comparing the measured and estimated rotor speed signal to detect the speed sensor fault. However, using that such estimated value in both the fault diagnosis and the controller reconfiguration phases leads to the insufficient performance of FTC modes. In this paper, a novel diagnosis-technique based on the stator current model combined with a confusion prevention condition is proposed to detect the failure states of the speed sensor in the IMD systems. It helps the FTC mode to separate between the diagnosis and reconfiguration phases against a speed sensor fault. This proposed SSF diagnosis method can also effectively apply for IMs’ applications at the low-speed range where the speed sensor signal often suffers from noise. MATLAB/Simulink software has been used to implement the simulations in various speed ranges. The achieved results have demonstrated the capability and effectiveness of the proposed SSF method against speed sensor faults.
Volume: 10
Issue: 3
Page: 3035-3046
Publish at: 2020-06-01

Study of tropospheric scintillation effects in Ku-band frequency for satellite communication system

10.11591/ijece.v10i3.pp3136-3144
Nadirah Abdul Rahim , Hanis Nabilah A. Mulop , Khairayu Badron
Scintillation is a rapid fluctuation of an electromagnetic waves in terms of phase and amplitude due to a small-scale inconsistency in the transmission path (or paths) with time. Scintillation exists continuously throughout a day whether during raining or clear sky conditions. The raw signal data need to exclude other propagations factors that include signal fluctuations to further understand the scintillation studies. This paper presents the analysis of tropospheric scintillation data from January 2016 till December 2016 at Ku-band frequency of 12.202 GHz beacon signal. The experimental data from MEASAT 3B were collected and analyzed to see the effect of tropospheric scintillation. The elevation angle of the dish antenna is 77.45o. The highlighted objectives are to analyze the scintillation data at Ku-band, and to compare and validate the results with other scintillation models. The result shows that the stipulated scintillation analysis has higher amplitude, which is 0.73 dB compared to other scintillation analysis which has lower scintillation amplitude: 0.45 dB (Karasawa), 0.42 dB (ITU-R), 0.4 dB (Nadirah & Rafiqul), 0.42 dB (Van De Kamp) and 0.11 dB (Anthony & Mandeep).
Volume: 10
Issue: 3
Page: 3136-3144
Publish at: 2020-06-01

Performance evaluation on structural mapping choices for data-centric XML documents

10.11591/ijeecs.v18.i3.pp1539-1550
Su-Cheng Haw , Emyliana Soong
eXtensible Mark-up Language (XML) has been widely used as the de facto standard for data exchange over the Web. It is crucial to ensure that the data can be mapped correctly into the underlying data storage format, that is, without any lost of information. The two mapping strategies are structural-based and model-based. The structural-based mapping involves the presence of Data Type Definition (DTD) for schema mapping while the model-based mapping does not require the present of DTD or any schema for the mapping purpose. The structural-based mapping is good especially for data-centric type of data, i.e., data which is structured and can be binded into certain schema. As such, this paper evaluates and compares the performances of two selected existing structural-based mapping via simulation. Two main evaluations are: (i) storing the XML data into relational database (RDB), and (ii) querying the XML data from the RDB. The time taken for each respective process will be recorded and compared. From the experimental results, it is observed that the s-XML approach outperformed the SAX approach in terms of storing and query evaluations for most of the test cases conducted.
Volume: 18
Issue: 3
Page: 1539-1550
Publish at: 2020-06-01

Simulation of adaptive power management circuit for hybrid energy harvester and real-time sensing application

10.11591/ijpeds.v11.i2.pp658-666
M. S. Tamrin , M. R. Ahmad
Many wireless sensor network (WSN) applications, nowadays, require real-time communication, which demands cautious design consideration to resolve inherent conflicts between energy efficiency and the need to meet Quality of Services (QoS), such as end-to-end delay communications. Numerous innovative solutions are proposed such as Real-time Power-Aware Routing (RPAR) protocol, which dynamically adapts transmission power to meet specified communication delays at low energy cost. Hence, to enable real-time communication with RPAR protocol, an adaptive Power Management Circuit (PMC) using hybrid energy harvester to support WSN real-time communication is proposed. In this paper, a high-level architecture of the proposed PMC is discussed, which consists of Thermal Energy Generator (TEG), and Piezoelectric Energy Harvester (PEG) as energy providers, with low-power Maximum Power Point Tracking (MPPT) feature enabled. Preliminary simulations which analyze and characterize TEG and PEG system are conducted separately to determine the optimal design parameters to support the conventional WSN QoS requirement. Next, both systems will be integrated into a single PMC implementation prior to fabrication and lab characterization.
Volume: 11
Issue: 2
Page: 658-666
Publish at: 2020-06-01

Performance analysis of bio-signal processing in ocean environment using soft computing techniques

10.11591/ijece.v10i3.pp2944-2950
N. R. Krishnamoorthy , Immanuel Rajkumar , Jerry Alexander , D. Marshiana
Wireless communication has become an essential technology in our day-to-day life both in air and water medium. To monitor the health parameter of human begins, advancement techniques like internet of things is evolved. But to analyze underwater living organisms health parameters, researchers finding difficulties to do so. The reason behind is underwater channels has drawbacks like signal degradation due to multipath propagation, severe ambient noise and Attenuation by bottom and surface loss. In this paper Artificial Neural Networks (ANN) is used to perform data transfer in water medium. A sample EEG signal is generated and trained with 2 and 20 hidden layers. Simulation result showed that error free communication is achieved with 20 hidden layers at 10th iteration. The proposed algorithm is validated using a real time watermark toolbox. Two different modulation scheme was applied along with ANN. In the first scenario, the EEG signal is modulated using convolution code and decoded by Viterbi Algorithm. Multiplexing technique is applied in the second scenario. It is observed that energy level in the order of 40 dB is required for least error rate. It is also evident from simulation result that maximum of 5% CP can be maintained to attain the least Mean Square Error.
Volume: 10
Issue: 3
Page: 2944-2950
Publish at: 2020-06-01

Super-twisting sliding mode controllers based on D-PSO optimization for temperature control of an induction cooking system

10.11591/ijpeds.v11.i2.pp1055-1064
Abdeldjalil Abdelkader Mekki , Abdelkader Kansab , Mohamed Matallah , Zinelaabidine Boudjema , Mouloud Feliachi
In this study, we perform the control of the temperature evolution versus time of induction cooking system using a super twisting sliding mode control (STSMC) based on Dynamic Particle Swarm Optimization (D-PSO). First, we will determine the evolution of the temperature in the middle of the pan bottom using the FEM method. The found temperature exceeds the limit of the desired cooking temperature (150-200°C). Second, to limit temperature increase, a (ST-SMC) method combined with a (D-PSO) algorithm is used to get the desired temperature. Particles Swarm Optimization (D-PSO) method is used to optimize the parameters of the gain of (ST-SMC) and improve its performance. The simulation results show that the use of the optimized super twisting sliding mode controller helps to achieve a desired value of cooking.
Volume: 11
Issue: 2
Page: 1055-1064
Publish at: 2020-06-01

Active cell balancing for electric vehicle battery management system

10.11591/ijpeds.v11.i2.pp571-579
Thiruvonasundari Duraisamy , Deepa kaliyaperumal
The shrink in accessibility of petroleum products and increment in asset request are eventual outcomes for Electrical Vehicles (EVs). The battery has an impact on the performance of electrical vehicles, the driving range. Lithium ion (Li-ion) chemistry is extremely sensitive to overcharge and deep discharge, which can harm the battery, shortening its period of time, and even inflicting risky things. The Battery Management System (BMS) comprises of the consequent parts: management, equalization and protection. Of the three components, equalization is that the most crucial with respect to the durability of the battery framework. The ability of the full pack diminishes rapidly amid the procedure which leads to degradation of the full battery framework. This condition is extreme once the battery incorporates a more number of cells in series and frequent charging is conveyed through the battery string. The cell imbalance during charging, discharging is a major issue in battery systems used in EVs. To circumvent the cell imbalance, cell balancing is used. Cell balancing enhances battery safety and extends battery life. This paper discusses about different active balancing method to increase the life span of the battery module. Based on the comparison, the inductor based balancing method for 60V battery system is implemented in the MATLAB/Simscape environment and the results are discussed.
Volume: 11
Issue: 2
Page: 571-579
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
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