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29,939 Article Results

Technical study of the effect of laser engraving using uArm swift pro robot

10.11591/ijra.v10i3.pp182-191
Soumen Mondal , Ajoy Kumar Dutta
Laser engraving is the most non - traditional and efficient working method in the machining of materials of different geometry as compared to conventional methods. The main objective of this study is to determine the impact of uArm swift pro robot operated laser engraving process on a wooden pitch board piece. However, the robot was connected with uArm Studio 1.1.22 software to perform laser engraving operation. For this purpose the effect of process parameters like spot diameter and depth of penetration were investigated with different working length of the robot end effector, measured from wooden pitch board base. Experimental observation method was used to investigate the formation of deep and light engraving pattern on the pitch board surface by measuring penetration depth and spot diameter in suitable condition. The result obtained from the experiment and statistical parameters showed a new dimension to find a suitable working length of the robot assisted laser nozzle where the laser penetration effect was clearly perceptible for the wooden material.
Volume: 10
Issue: 3
Page: 182-191
Publish at: 2021-09-01

Development of a dynamic intelligent recognition system for a real-time tracking robot

10.11591/ijra.v10i3.pp161-169
Thair Ali Salih , Mohammed Talal Ghazal , Zaid Ghanim Mohammed
Nowadays, the development of computer vision technology help to overcome track and identify humans within a location in the complex environment through mobile robots, which gives the motivation to presents a vision-based approach to a mobile security robot. The proposed system utilizes a wireless camera to detect the objects in the field of robot view. Principle component analysis (PCA) algorithm and filters are used to implement and demonstrate the process of the images. This gives the designed system the ability to recognize objects independently from current light conditions. Frame tracking in the images uses an attention system to get an estimate of the position of a person. This estimate helps the applied camera to identify objects with changing background lighting conditions such as a fire inside a building. By using this estimate, the applied camera could identify objects with changing background lighting conditions such as a fire inside premises. The system has been tested using the MATLAB environment, and the empirical performance explains the efficiency and strongness of the suggested device.
Volume: 10
Issue: 3
Page: 161-169
Publish at: 2021-09-01

Exploring the use of films/dramas in giving awareness towards mental illness in society

10.11591/ijphs.v10i3.20967
Nor Mazlina Ghazali , Edris Aden , Azzahrah Anuar , Fatahyah Yahya , Anis Natasha Zulkifli
This study was exploring the use of films/dramas in giving awareness towards mental illness among society. Objective of this study was to explore the use of films in giving awareness on mental illness to the community. The study used qualitative research design. There were 11 participants of this study which consisted of three stages of human development (adolescent, early and late adulthood). They also come from varies background such as different work setting, age, occupation as well as level of education. The varies background among participants were provided different answers of questions. The method of data collection was an interview with semi-structured questions. Analysis of data using Thematic Analysis. Findings showed few themes have been found from the interview such as personality of participants that lead them to watch this type of films/dramas, effect after they watched this type of films/dramas, perception of participants towards mental illness films/dramas, learning process and suggestion to improve this type of films/dramas in Malaysia. The implication of this study, participants gaining more awareness on mental illness after watching type of films/dramas. They also found this genre of films/dramas enable to educate them to be open with people who suffer from mental illness. In conclusion, future researcher can explore the effect of watching mental illness genre films/dramas towards self-development among society.
Volume: 10
Issue: 3
Page: 704-712
Publish at: 2021-09-01

Analysis of the recovery determinant factors of COVID-19 sufferes

10.11591/ijphs.v10i3.20899
Diadjeng Setya Wardani , Arifin Syamsul
The main factor that affects the recovery of people with COVID-19 is immunity. To increase immunity, sufferers of COVID-19 must be able to regulate their bodies and psychological conditions so they don't get stressed because they reduce immunity very quickly. The purpose of this study was to determine the determinants that affect the recovery of COVID-19 sufferers. This research employed a cross-sectional design. The respondent was 30 patients who recovered from COVID-19. The data collection instruments used questionnaires and interview sheets. Data analysis used Fisher's exact test (a=5%) and calculated the prevalence ratio to determine the determinant factors. The results showed that age (p-value 0.034, PR=0.667) and patient education (p-value 0.023, PR=0.600) showed a significant effect, while gender (p-value 0.687, PR=0.78), occupation (p-value 0.253, PR=0.333), income (p-value 0.520, PR=0.895), and patient origin (p-value 0.393, PR=1.118) did not show a significant effect. The determinants that affect the recovery of COVID-19 sufferers are age and education of the sufferer; while gender, occupation, income, and origin do not have a significant effect on the recovery of COVID-19 sufferers.
Volume: 10
Issue: 3
Page: 657-661
Publish at: 2021-09-01

Automation of the design of the cross-section of the manipulator arms profile

10.11591/ijra.v10i3.pp170-181
Milan Mihola , Zdenek Zeman , David Fojtik
The design of the arms of industrial robots and manipulators is a demanding process both in ter ms of expertise and in terms of the time required. For these reasons, algorithms have been created, with the help of which it is possible to design cross - sections of individual arms of robots and manipulators not only from the point of view of maximum allo wed deflection but also from the point of view of minimizing cross - sectional dimensions or minimizing the weight of arms. These algorithms were subsequently used in the development of the software tool RobotArmDesign, with the help of which it is possible to simplify and shorten the arm design process significantly. This tool also has a connection to the SolidWorks CAD system and its simulation tools through its API interface, making it possible to refine robot arms designs while maintaining significantly s horter design times than would be the case with commonly used procedures. This tool's capabilities were demonstrated in the design of a robot arm with an angular structure and five degrees of freedom.
Volume: 10
Issue: 3
Page: 170-181
Publish at: 2021-09-01

Wizer.me and Socrative as innovative teaching method tools: Integrating TPACK and Social Learning Theory

10.11591/ijere.v10i3.21744
Narentheren Kaliappen , Wan Nurisma Ayu Ismail , Ahmad Bashawir Abdul Ghani , Dwi Sulisworo
The purpose of this paper is to share a lecturer’s viewpoint on using Wizer.me and Socrative applications as an innovative teaching method integrating TPACK and Social Learning Theory (SLT) at higher education. The applications were used to teach 44 undergraduate students who registered for Cross-Cultural Management course at Universiti Utara Malaysia (UUM). At first, the lecturer used Wizer.me before the class starts and requesting the students to answer several questions before coming to the class. After completing each chapter, the students requested to answer some questions using Socrative application to test their understanding level. The research revealed that at the beginning of the semester, the students not aware of these two applications. However, at the end of the semester, every student familiar with these applications and overall provided positive feedback on the usage of Wizer.me and Socrative application in the teaching and learning process. This study used IntenCheck sentiment analysis software to evaluate the students’ feedback. Student’s opinion on using Wizer.me and Socrative application as an innovative teaching method not explored before at UUM. Therefore, this viewpoint could provide useful insight for university lecturers to use these applications in their teaching and learning process.
Volume: 10
Issue: 3
Page: 1028-1037
Publish at: 2021-09-01

Gait cycle prediction model based on gait kinematic using machine learning technique for assistive rehabilitation device

10.11591/ijai.v10.i3.pp752-763
Che Ani Adi Izhar , Z. Hussain , M. I. F. Maruzuki , Mohd Suhaimi Sulaiman , A. A. Abd. Rahim
The gait cycle prediction model is critical for controlling assistive rehabilitation equipment like orthosis. The human gait model has recently used statistical models, but the dynamic properties of human physiology limit the current approach. Current human gait cycle prediction models need detailed kinematic and kinetic data of the human body as input parameters, and measuring them requires special instruments, making them difficult to use in real-world applications. In our study, three separate machine learning algorithms were used to create a human gait model: Gaussian process regression, support vector machine, and decision tree. The algorithm used to create the model's input parameters are height, weight, hip and knee angle, and ground reaction force (GRF). For better gait cycle model prediction, the models produced were enhanced by incorporating different sliding window data. The best gait period prediction model was DT with sliding window data (t−3), which had a root mean square error of 3.3018 and the R-squared (R-Value) of 0.97. The projection model focused on hip and knee angle and GRF was a feasible solution to controlling assistive rehabilitation devices during the gait cycle.
Volume: 10
Issue: 3
Page: 752-763
Publish at: 2021-09-01

Digital citizenship skills among undergraduate students in Malaysia: A preliminary study

10.11591/ijere.v10i3.21277
Noor Banu Mahadir , Nur Hidayah Baharudin , Nurul Nadia Ibrahim
The purpose of the study was to examine level of digital citizenship skills among undergraduate students at the Sultan Idris Education University, Perak, Malaysia. The study focused on three sub-variables of digital citizenship skills; online wellbeing, online learning and online safety. The paper present report from a questionnaire conducted on 1000 students from nine different faculties. Items for each variable were constructed based on literature highlights related to digital citizenship framework and through experts’ validation. A descriptive statistic was used in determined the level of digital citizenship skills among the undergraduate students. The findings of the study showed that the level of digital citizenship skills of students is at a high level. This study expected to help stakeholders to further emphasize the study of digital citizenship and digital citizenship education in Malaysia in more detail.
Volume: 10
Issue: 3
Page: 835-844
Publish at: 2021-09-01

Performance evaluation of industrial ethernet protocols for real-time fault detection based adaptive observer in networked control systems with network communication constraints

10.11591/ijra.v10i3.pp261-274
Samba Aime Herve , Yeremou Tamtsia Aurelien , Nneme Nneme Leandre
In this paper, the performance evaluation of industrial ethernet (EtherNet/IP, EtherCAT and PROFINET IRT) networks has been studied for choosing the right protocol in real-time fault detection based adaptive sliding mode observer in networked control systems (NCSs) under time network-induced delays, stochastic packet losses, access constraints and bounded disturbances. An adaptive sliding-mode observer based fault detection is presented. The dynamic hydroelectric power plant model is used to verify the effectiveness of the proposed method based on TrueTime and Matlab/ Simulink, corroborated our predictions that an ethernet for control automation technology (EtherCAT) protocol would be more appropriate to reduce the false alarm rate and increasing the efficiency of the remote control of industrial hydroelectric power plant.
Volume: 10
Issue: 3
Page: 261-274
Publish at: 2021-09-01

Anti-inflammatory activity of Indonesian nutmeg seeds (Myristica fragrans Houtt): A topical gel formulation

10.11591/ijphs.v10i3.20921
Azis Ikhsanudin , Lolita Lolita , Daniar Dyanas Rais
Herbal medicines have been shown as anti-inflammatory with potentially lesser side effects. The active compound of nutmeg seed is proven to accelerate the healing process of inflammation. This study aimed to evaluate the gel formulation of Indonesian nutmeg (Myristica fragrans Houtt) seed extract for anti-inflammatory activity. A true experimental post test only with control group design was used in this study. The gel was formulated with various concentrations of nutmeg seed extract, namely formulations F1 (0%), F2 (2%), F3 (4%), F4 (8 %), and F5 (12%). Analysis of variance (ANOVA) followed by the least significant difference (LSD) methods were performed with SPSS version 22. The results showed that all formulas had an opaque physical appearance, brownish-yellow color, soft texture, and aromatic odor. The increase of extract concentration in gel formula will affect the adhesion and spreadability. F5 showed the highest anti-inflammatory activity compared to other groups. This formula was generally identified as having a good physical appearance, homogeneity, and stability with a pH value of 6.16±0.24, adhesiveness of 51.12±0.15 sec, and a spreadability of 19.54±0.12 cm2. Therefore, Indonesian nutmeg has the potential to be well-acceptable as a candidate for topical anti-inflammatory agents in global health benefits.
Volume: 10
Issue: 3
Page: 688-695
Publish at: 2021-09-01

Barriers and challenges for primary care service in the COVID-19 pandemic

10.11591/ijphs.v10i3.20857
Dela Erjalia , Rizma Adlia Syakurah
The COVID-19 pandemic is such a barrier for health systems around the world including Indonesia. Primary care is the first-line in controlling the pandemic at the community level, but there are many barriers and challenges faced by doctors during the service that are not fully recognized. This aimed to distinguish barriers and challenges in health centers and/clinics amid the COVID-19 widespread. This was qualitative study with a phenomenological approach. As much 44 health centers/clinical specialists interviewed in October 2020. Then, the data categorization method/coding and content analysis used. There were three themes related to the barriers and challenges confronted by specialists in health centers/clinics, specifically barriers and challenges based on service management, environment, and individuals. The barriers and challenges confronted are related to changes within the consultation flow, a diminished number of patient visits, limited supplies of personal protective equipment (PPE), patient states of mind and behavior within the confront of a pandemic, and progressively heavier burdens and duties for doctors. It is necessary to provide specific, valid, and right-on-target knowledge in improving community behavior in efforts to prevent COVID-19 infection and the government's important role to be more concerned about the future of health workers.
Volume: 10
Issue: 3
Page: 600-607
Publish at: 2021-09-01

Less memory and high accuracy logarithmic number system architecture for arithmetic operations

10.11591/ijeecs.v23.i3.pp1708-1717
Siti Zarina Md Naziri , Rizalafande Che Ismail , Mohd Nazrin Md Isa , Razaidi Hussin
Interpolation is another important procedure for logarithmic number system (LNS) addition and subtraction. As a medium of approximation, the interpolation procedure has an urgent need to be enhanced to increase the accuracy of the operation results. Previously, most of the interpolation procedures utilized the first degree interpolators with special error correction procedure which aim to eliminate additional embedded multiplications. However, the interpolation procedure for this research was elevated up to a second degree interpolation. Proper design process, investigation, and analysis were done for these interpolation configurations in positive region by standardizing the same co-transformation procedure, which is the extended range, second order co-transformation. Newton divided differences turned out to be the best interpolator for second degree implementation of LNS addition and subtraction, with the best-achieved BTFP rate of +0.4514 and reduction of memory consumption compared to the same arithmetic used in european logarithmic microprocessor (ELM) up to 51%.
Volume: 23
Issue: 3
Page: 1708-1717
Publish at: 2021-09-01

New time delay estimation-based virtual decomposition control for n-DoF robot manipulator

10.11591/ijra.v10i3.pp192-206
Hachmia Faqihi , Khalid Benjelloun , Maarouf Saad , Mohammed Benbrahim , M. Nabil Kabbaj
One of the most efficient approaches to control a multiple degree-of-freedom robot manipulator is the virtual decomposition control (VDC). However, the use of the re- gressor technique in the conventionnal VDC to estimate the unknown and uncertaities parameters present some limitations. In this paper, a new control strategy of n-DoF robot manipulator, refering to reorganizing the equation of the VDC using the time delay estimation (TDE) have been investigated. In the proposed controller, the VDC equations are rearranged using the TDE for unknown dynamic estimations. Hence, the decoupling dynamic model for the manipulator is established. The stability of the overall system is proved based on Lyapunov theory. The effectiveness of the proposed controller is proved via case study performed on 7-DoF robot manipulator and com- pared to the conventionnal Regressor-based VDC according to some evalution criteria. The results carry out the validity and efficiency of the proposed time delay estimation- based virtual decomposition controller (TD-VDC) approach.
Volume: 10
Issue: 3
Page: 192-206
Publish at: 2021-09-01

Prospects of regenerative current breaking in DC circuit breaker topology

10.11591/ijape.v10.i3.pp217-229
S. M. Sanzad Lumen , Ramani Kannan , Nor Zaihar Yahaya
Due to the stunning advancement of power electronics, DC power system is getting immense attention in the field of research. Protection and hereafter the protective devices for the DC power system application are two vital areas that need to be explored and developed further. Designing a protective device such as DC circuit breaker possesses a lot of challenges. The main challenge is to interrupt a current which does not have a natural zero crossing like AC current has. In addition, energy is stored in the network inductances during normal operation. Instantaneous current breaking is opposed by this stored energy during circuit breaker tripping, hence, all the DC circuit breaker topologies proposed in literature use snubber network, nonlinear resistor to dissipate this stored energy as heat during the current breaking operation. However, it is possible to store this energy momentarily and reuse it later by developing an improvised topology. In this paper, the prospects of energy recovery and reuse in a DC circuit breaker was studied and a new topology with regenerative current breaking capability had been proposed. This new topology can feed the stored energy of the network back into the same network after breaking the current and thus can improve the overall system efficiency.
Volume: 10
Issue: 3
Page: 217-229
Publish at: 2021-09-01

Performance enhancement of shunt active power filter using soft computing techniques

10.11591/ijape.v10.i3.pp253-261
Annu Govind , Vijay Kumar Tayal , Prakash Kumar
Nowadays, active power filter (APF) is the most popular device for harmonic compensation. This paper presents the soft computing techniques for compensation of currents harmonics using a shunt active power filter (SAPF). The method includes a 3-phase supply system with a current-controlled voltage source converter (CC-VSC) having an input coupling inductor and output tank capacitor for a self-supported DC bus. The performance of the active power filter can be enhanced by using soft computing techniques such as artificial neural network (ANN) controller and gravitational search algorithm (GSA) for generating control signals of the SAPF. The current reference is calculated to compensate source current THD with synchronous reference frame (SRF) technique with proportional integrator (PI) controller. From the result, it is evident that both the soft computing techniques reduce the computational time & fast convergence which improves the filter performance during the transient period and makes it self-tuned. The proposed structure is simulated using MATLAB/Simulink and subsequently experimentally verified. The presentation of the system is originated to be suitable for numerous features of power quality enhancement structure.
Volume: 10
Issue: 3
Page: 253-261
Publish at: 2021-09-01
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