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29,939 Article Results

Bayesian estimate of system availability for consecutive k-out-of-n:F system

10.11591/ijeecs.v24.i3.pp1692-1699
Madhumitha J. , G. Vijayalakshmi
In the efficient design and functionality of complex systems, redundancy problems in systems play a key role. The consecutive-k-out-of-n:F structure, which has broad application in street light arrangements, vacuum systems in an accelerator, sliding window detection, relay stations for a communication system. Availability is one of the significant measures for a maintained device because availability accounts for the repair capability. A very significant feature is the steady-state availability of a repairable device. For the repairable consecutive k-out-of-n:F system with independent and identically distributed components, the Bayesian point estimate (B.P.E) of steady-state availability under squared error loss function (SELF) and confidence interval are obtained.
Volume: 24
Issue: 3
Page: 1692-1699
Publish at: 2021-12-01

Implementation of wheelchair controller using mouth and tongue gesture

10.11591/ijeecs.v24.i3.pp1663-1671
Rafia Hassani , Mohamed Boumehraz , Maroua Hamzi
In this paper, a simple human-machine interface allowing people with severe disabilities to control a motorized wheelchair using mouth and tongue gesture is presented. The development of the proposed system consists of three principal phases: the first phase is mouth detection which performed by using haar cascade to detect the face area and template matching to detect mouth and tongue gestures from the lower face region. The second phase is command extraction; it is carried by determining the mouth and tongue gesture commands according to the detected gesture, the time taken to execute the gestures, and the previous command which is stored in each frame. Finally, the gesture commands are sent to the wheelchair as instruction using the Bluetooth serial port. The hardware used for this project were; laptop with universal serial bus (USB) webcam as a vision-based control unit, Bluetooth module to receive instructions comes from the vision control unit, standard joystick used in case of emergency, joystick emulator which delivers to the control board signals similar to the signals that are usually generated by the standard joystick, and ultrasonic sensors to provide safe navigation. The experimental results showed the success of the proposed control system based on mouth and tongue gestures.
Volume: 24
Issue: 3
Page: 1663-1671
Publish at: 2021-12-01

Communication system improvement with control performance based on link quality in wireless sensor actuator networks

10.11591/ijece.v11i6.pp5089-5098
Nada N. Tawfeeq , Sawsan D. Mahmood
New communication and networking paradigms started with wireless sensor actuator networks (WSANs) to introduce new applications. One of these is the automatic gain control system (AGC). It will enable a high degree of the decentralized and mobile control. In this study, neural networks (NN) with fuzzy logic (one of the techniques of artificial intelligence (AI)) is used to enhance the control performance depending on the link quality. The NN and fuzzy inference system (FIS) with Mamdani’s method used to build a model reference, adaptive controller, for recompensing for delay time packets losses, and improving the reliability of WSAN. Between 88.62% and 99.99%, validation data is obtained for the medium and high conditions of operation with the proposed algorithm. Experimental and simulation results show a promising approach.
Volume: 11
Issue: 6
Page: 5089-5098
Publish at: 2021-12-01

Image retrieval based on swarm intelligence

10.11591/ijece.v11i6.pp5390-5401
Shahbaa I. Khaleel , Ragad W. Khaled
To keep pace with the development of modern technology in this information technology era, and the immense image databases, whether personal or commercial, are increasing, is requiring the management of these databases to strong and accurate systems to retrieve images with high efficiency. Because of the swarm intelligence algorithms are great importance in solving difficult problems and obtaining the best solutions. Here in this research, a proposed system is designed to retrieve color images based on swarm intelligence algorithms. Where the algorithm of the ant colony optimization (ACOM) and the intelligent water drop (IWDM) was used to improve the system's work by conducting the clustering process in these two methods on the features extracted by annular color moment method (ACM) to obtain clustered data, the amount of similarity between them and the query image, is calculated to retrieve images from the database, efficiently and in a short time. In addition, improving the work of these two methods by hybridizing them with fuzzy method, fuzzy gath geva clustering algorithm (FGCA) and obtaining two new high efficiency hybrid algorithms fuzzy ant colony optimization method (FACOM) and fuzzy intelligent water drop method (FIWDM) by retrieving images whose performance values are calculated by calculating the values of precision, recall and the f-measure. It proved its efficiency by comparing it with fuzzy method, FGCA and by methods of swarm intelligence without hybridization, and its work was excellent.
Volume: 11
Issue: 6
Page: 5390-5401
Publish at: 2021-12-01

Deadlock detection in distributed system

10.11591/ijeecs.v24.i3.pp1596-1603
Kshirod Kumar Rout , Debani Prasad Mishra , Surender Reddy Salkuti
In highly automated devices, deadlock is a case that occurs when no system can permit its event which may give irrelevant economic losses. A process can request or release resources that are either available or are on hold by others. If a process requesting a resource is not available at any time, then that process enters into the waiting state. But if a waiting state is not converted into its present state, it enters more than two processes are having an indefinite waiting state. The proposed algorithm gives an efficient way for deadlock detection. For the implementation of this work, C++ and python as the basic programming language are used. It gives an idea about how resources are allocated, and how few processes result in deadlock.
Volume: 24
Issue: 3
Page: 1596-1603
Publish at: 2021-12-01

Support vector machine based fault section identification and fault classification scheme in six phase transmission line

10.11591/ijai.v10.i4.pp1019-1024
A Naresh kumar , M Suresh Kumar , M Ramesha , Bharathi Gururaj , A Srikanth
The higher complexity of a six phase transmission system (SPTS) construction and the large number of possible faults makes the protection task challenging. Moreover, the reverse & forward path faults in SPTS cannot be detected by traditional relay as it becomes under-reach. In this paper, a support vector machine (SVM) method including Haar wavelets for SPTS fault section identification and fault classification is focused. The positive-sequence component phase angle and currents at middle two buses are used to formulate a suggested method. Feasibility of suggested SVM is tested with a 138 kV, 300 km, 60 Hz, SPTS in MATLAB based Simulink platform. Several major parameters including far end and near end location conditions are taken to investigate the reach setting and accuracy of proposed SVM. This relaying method can detect the existence of fault in reverse & forward path in 1 ms time.
Volume: 10
Issue: 4
Page: 1019-1024
Publish at: 2021-12-01

Exploring ESL learners’ blended learning experiences and its’ effectiveness through web-based technologies

10.11591/ijere.v10i4.21465
Sangeeth Ramalingam , Melor Md Yunus , Harwati Hashim
The inability to gain employment among the Malaysian graduates became a critical issue due to lack of 21st century skills. Higher learning institutions are urged to play their significant roles in producing graduates who have subject knowledge and relevant 21st century skills. There are many teaching strategies which are currently in practice at tertiary institutions, however more efficient approach is needed to produce well-balanced graduates. This present research proposed a promising approach which is blended learning with web-based technologies to improve students’ 21st century skills. Current literature indicated blended learning has not been sufficiently explored in English as Second Language (ESL) context. Thus, this study aimed to explore ESL learners’ blended learning experiences using innovative web-based technologies and to examine the effectiveness of the blended learning strategy in improving the learners’ 21st-century skills. Qualitative data were collected through phone call interviews with the participants and analyzed through thematic analysis. Working with a sample of bachelor degree students at a tertiary institution revealed the participants’ blended learning experience exceptionally improved their 21st-century skills in various ways. The result of this study contributes to the pedagogical aspects of ESL teaching and learning and the improvement of 21st century skills among the students.
Volume: 10
Issue: 4
Page: 1436-1445
Publish at: 2021-12-01

Could coronavirus 2019-infected disease patients get cope with the treatment?: A qualitative study

10.11591/ijphs.v10i4.20912
Fery AM Mendrofa , Umi Hani , Yuni Nurhidayat
A pandemic of a novel coronavirus-infected disease is currently ongoing in the world. Most patients have to be isolated due to the treatments. This study aimed to make sense of how patients with coronavirus-infected disease understand and experience infectious isolation. The research used a qualitative design with a phenomenological approach. Data collection was conducted with in-depth interviews of nine patients with coronavirus disease-2019 (COVID-19) confirmed who had been in the isolation room. The analysis was conducted on interview transcripts by organizing keywords found into categories, sub-themes, and themes based on Colaizzi's approach. The results indicated that the participants experienced fright due to the isolation and attempted to integrate their isolation experiences. Isolation highlighted a sense of threat posed by cross-infection, a threat that participants experienced as originating from others and from themselves to others. Participants described feeling changes experienced after several days of treatment. Participants reported various symptoms of the disease and received careful care while in isolation. They still communicate with family. Isolated patients are able to deal with the treatment by improving their coping strategies. Participants reported the most support from their families, even from a distance. Future research could explore experiences of isolation from family and staff perspectives and identify the psychological aspect in caring for the COVID-19 patients.
Volume: 10
Issue: 4
Page: 880-887
Publish at: 2021-12-01

An improvement and a fast DSP implementation of the bit flipping algorithms for low density parity check decoder

10.11591/ijece.v11i6.pp4774-4784
Mouhcine Razi , Mhammed Benhayoun , Anass Mansouri , Ali Ahaitouf
For low density parity check (LDPC) decoding, hard-decision algorithms are sometimes more suitable than the soft-decision ones. Particularly in the high throughput and high speed applications. However, there exists a considerable gap in performances between these two classes of algorithms in favor of soft-decision algorithms.  In order to reduce this gap, in this work we introduce two new improved versions of the hard-decision algorithms, the adaptative gradient descent bit-flipping (AGDBF) and adaptative reliability ratio weighted GDBF (ARRWGDBF).  An adaptative weighting and correction factor is introduced in each case to improve the performances of the two algorithms allowing an important gain of bit error rate. As a second contribution of this work a real time implementation of the proposed solutions on a digital signal processors (DSP) is performed in order to optimize and improve the performance of these new approchs. The results of numerical simulations and DSP implementation reveal a faster convergence with a low processing time and a reduction in consumed memory resources when compared to soft-decision algorithms. For the irregular LDPC code, our approachs achieves gains of 0.25 and 0.15 dB respectively for the AGDBF and ARRWGDBF algorithms.
Volume: 11
Issue: 6
Page: 4774-4784
Publish at: 2021-12-01

Modeling and analyzing predictive monthly survival in females diagnosed with gynecological cancers

10.11591/ijphs.v10i4.20936
Timothy Samec , Raed Seetan
Cancer ranks as a leading cause of death worldwide; an estimated 1.7 million new diagnoses were reported in 2021. Ovarian cancer, the most lethal of gynecological malignancies, has no effective screening with over 70% of patients being diagnosed in an advanced stage. The aim of this study was to determine the most statistically significant contributing factors through a multivariate regression into the severity of female gynecological cancers. Data from the surveillance, epidemiology, and end results program (SEER) cancer database were utilized in this study. Several attempted multivariate linear regressions were implemented with further reduced models; however, a linear model could not be properly fit to the data. Because of unmet assumptions, a nonparametric moving, local regression, locally estimated scatterplot smoothing (LOESS), was performed. After smoothing factors were included to reduced-models, residual information was minimized although few conclusions can be drawn from the resulting statistics. These issues were prevalent mainly because of the massive variability in the data and inherent lack of linearity. This can be a significant issue with clinical data that does not dive deeper into cancer-dependent factors including genetic expression and cell surface receptor overexpression. General patient demographic data and diagnostic information alone does not provide enough detail to make a definite conclusion or prediction on patient survivability. Increased attention to the acquisition of tumor tissue for genomic and proteomic analysis in addition to next-generation sequencing methods can lead to significant improvements in prognostic predictions.
Volume: 10
Issue: 4
Page: 888-897
Publish at: 2021-12-01

An agent based model for assessing transmission dynamics and health systems burden for COVID-19

10.11591/ijeecs.v24.i3.pp1735-1743
Narassima M. S. , Anbuudayasankar S. P. , Guru Rajesh Jammy , Rashmi Pant , Lincoln Choudhury , Aadharsh Ramakrishnan , Denny John
Coronavirus disease of 2019 (COVID-19) pandemic has caused over 230 million infections with more than 4 million deaths worldwide. Researches have been using various mathematical and simulation techniques to estimate the future trends of the pandemic to help the policymakers and healthcare fraternity. Agent-based models (ABM) could provide accurate projections than the compartmental models that have been largely used. The present study involves a simulation of ABM using a synthetic population from India to analyze the effects of interventions on the spread of the disease. A disease model with various states representing the possible progression of the disease was developed and simulated using AnyLogic. The results indicated that imposing stricter non-pharmaceutical interventions (NPI) lowered the peak values of infections, the proportion of critical patients, and the deceased. Stricter interventions offer a larger time window for the healthcare fraternity to enhance preparedness. The findings of this research could act as a start-point to understand the benefits of ABM-based models for projecting infectious diseases and analyzing the effects of NPI imposed.
Volume: 24
Issue: 3
Page: 1735-1743
Publish at: 2021-12-01

Aiming to the superior of phosphor pattern: Influence of SiO2 nanoparticles on photoluminescence intensification of YAG:Ce

10.11591/ijece.v11i6.pp4833-4839
My Hanh Nguyen Thi , Thuc Minh Bui , Nguyen Doan Quoc Anh
Yttrium aluminum garnet (YAG: RE) rare-earth-doped phosphors have great photoluminescence (PL) characteristics and are commonly used in light-emitting rectifying tubes. The RE elements used in these phosphors, however, are precious and in shortage. The production of phosphorus containing a limited amount of RE content is therefore essential. One solution is to manufacture Nano composite phosphors that use an inexpensive and more easily available content as a matrix for RE oxide. In this research, we developed a YAG: Ce/SiO2 Nano composite using a sol-gel procedure; in order to impulse micelle formation and agglomeration, poly (ethylene glycol) and urea have been added, respectively. X-ray diffraction, scanning and transmission electron microscopy (TEM) and energy-dispersive X-ray spectroscopy were used to characterize the Nano composites. In proposing an explanation for this enhancement, we defined the concentration of SiO2 that produced optimum PL enhancement and used geometric models as well as the characterization consequences. Our results demonstrated that a 10% SiO2 concentration produced a 120% PL intensity of pure YAG:Ce. TEM analysis revealed that SiO2 nanoparticles filled the voids between the YAG:Ce crystals' single grain borders, hence inhibiting light scattering, resulting in increased PL. This procedure would be beneficial for the synthesis of low-RE and high-PL phosphors on a wide scale.
Volume: 11
Issue: 6
Page: 4833-4839
Publish at: 2021-12-01

Assessment of health-related quality of life among patients with non-communicable diseases

10.11591/ijphs.v10i4.20961
Nitin Kumar Joshi , Yogesh Kumar Jain , Varsha Joshi , Niraj Kumar , Jyoti Sharma , Pankaj Bhardwaj
Non-communicable diseases (NCDs) are a global challenge towards diminishing quality of life. Health related quality of life (HRQoL) is a widely accepted measure of burden of disease for individuals with chronic conditions. Due to paucity of data in Western Rajasthan, India, this study was planned to assess the HRQoL due to NCDs in Jodhpur, India. A descriptive cross-sectional study was planned in government NCD center of Jodhpur. Convenience sampling was used to select 398 respondents and socio demographic data was collected. Short Form–36 (SF-36) questionnaire was used to measure perceived effects due to NCDs across eight domains of analyzed using descriptive and inferential statistics. High combined mean scores were obtained in domains of Social Functioning (77.87) and Mental Health (75.36%) and lowest scores for General Health (54.70%), Bodily Pain (60.06%) and Role Emotional (60.33%). Males recorded higher mean scores than females across all domains with high statistical significance for Bodily Pain, Vitality, Role Physical and Mental Health. Findings suggested worst and least affected domains of regular life functions due to NCDs. Greater focus on emotional distress, active inclusion of females in national health programmes and integration of NCD control program with Mental Health Program would aid to improve overall HRQoL in affected individuals.
Volume: 10
Issue: 4
Page: 724-729
Publish at: 2021-12-01

Arduino-based night return mechanism for passive solar trackers

10.11591/ijaas.v10.i4.pp335-342
Willy Stephen Tounsi Fokui , Destine Mashava
Solar trackers are support platforms that keep photovoltaic panels facing the sun by following the sun from dusk to dawn. There exist active solar trackers that make use of motors and gears to orientate the photovoltaic panels towards the sun; and passive solar trackers that operate through the differential heating of the fluid in the tracking rack to follow the sun. Passive solar trackers suffer from the lack of a night return mechanism and a slow wake-up response in the mornings due to the limitations on the surface inclination angle of the rack. This paper seeks to address these issues by proposing an Arduino-based night return mechanism for passive solar trackers. An energy-saving heating element such as the ultra heating fabric manufactured by WireKinetics Co. is installed on the west-side canister of the tracker. Before dawn, the fabric is automatically heated and this will force the refrigerant in the west-side canister to vaporize and cool in the east-side canister, forcing the tracker to return and face eastward before sunrise. The night return mechanism is designed and simulated using proteus profesional. Simulation results show that this system can significantly optimize the function of passive solar trackers.
Volume: 10
Issue: 4
Page: 335-342
Publish at: 2021-12-01

Awareness, perception and acceptability of digital physiotherapy intervention among Malaysian physiotherapist

10.11591/ijphs.v10i4.20876
Rajkumar Krishnan Vasanthi , Lee Cai Ling , Yughdtheswari Muniandy
Digital health intervention (DHI) can solve the patient's problem, such as geographical inaccessibility, delayed provision of care, low-level adherence to clinical protocols, and financial burden. DHI does not necessary to work as a substitution for a functioning health system but helps strengthen its function. Therefore, this study aimed to determine the awareness, perception, and acceptability of digital physiotherapy intervention (DPI) among Malaysian physiotherapists. A total of 209 practicing physiotherapists representing all the regions in Malaysia participated in this online self-reported questionnaire, including demographics profile, continuous professional development, awareness, perception and acceptability of DPI. Analyzed the collected data to determine the knowledge of DPI by using descriptive statistical methods. A 75.1% of the Malaysian physiotherapist aware of digital physiotherapy intervention, 69.38% perceived it reduces the cost for face to face, reduce the time for traveling 47.85%, improve adherence to exercises 42.58%, 78% of them agree with the DPI and 75.1% of them accepted to recommend the digital tools to their patient. Malaysian physiotherapists are aware, agree and recommend the digital physiotherapy intervention to their treatment plan. However, it should still raise awareness about digital physiotherapy intervention to lead them to the future. Developing new digital tools, utilization, and overcoming the various healthcare institutions' low acceptability considering the cost, conventional interventions, and time-consuming should be strategized in Malaysia.
Volume: 10
Issue: 4
Page: 778-784
Publish at: 2021-12-01
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