Association for Scientic Computing Electronics and Engineering (ASCEE): Open Journal Systems
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Improving the Recognition Percentage of the Identity Check System by Applying the SVM Method on the Face Image Using Special Faces
Get PDFFace recognition has attracted tremendous attention during the last three decades because it is considered a simple pattern recognition and image analysis method. Also, many facial recognition patterns have been introduced and used over the years. The SVM algorithm has been one of the successful models in this field. In this article, we have introduced the special faces first. In the following, we have fully explained the SVM method and its subsets, including linear and non-linear support vector machines. Suggestions for improving the recognition percentage of a person's identity check system by applying the SVM method on the face image using special faces are presented. For this test, 10 face images of 40 people (400 face images in total) have been selected from the ORL database. In this way, by choosing the optimal parameter C, determining the most suitable training samples, comparing more accurately with training images and using the distance with the closest training sample instead of the average distance, the proposed method has been implemented and tested on the famous ORL database. The obtained results are FAR=0.23% and FRR=0.48%, which shows the very high accuracy of the operation following the application of the above suggestions
Teachers’ learning driven by “multi-subject needsâ€: Implication, mode and strategies
Get PDFUnder the influence of the concept of lifelong learning, teachers’ learning has become the main paradigm of teacher development. The traditional training for primary and secondary school teachers often pays too much attention to the transmission of theories and ignores the practical needs of teachers, resulting in the dilemma of low learning efficiency and poor effect. In order to break through the current learning dilemma of primary and secondary school teachers and meet the needs of students’ growth and long-term development of schools, on the basis of clarifying the basic implication of teacher learning driven by “multi-subject needsâ€, this paper introduces the Activity Theory to discuss the implications of teacher learning, constructs the teacher learning mode driven by “multi-subject needs,†and analyzes the operating mechanism of this learning mode. In order to promote the effective operation of this mode, teachers should set up the concept of lifelong learning, adhere to the self-orientation of learning, and pay attention to learning reflection. The school level should create a cultural atmosphere for teachers’ learning, make clear the purpose of teachers’ learning, let teachers’ pay attention to the practical situation, and make teachers’ learning become a normal activity
The role of community and government digital culture in encouraging participation and the quality of public services in Bandung City
Get PDFThis research is motivated because the digital culture of the people of Bandung city is still low so that it has an impact on the low level of digital public participation and the digital culture of the Bandung city government is still low so that the quality of digital public services is also low. Therefore, this research was conducted to find out in more detail about how the digital culture of the community and its impact on the level of participation and how the digital culture of the Bandung city and its impact on the quality of public services in Bandung city and how strategies to build a digital culture so that public participation and the quality of public services in Bandung city become optimal. This research used a mix method, which is a combination of quantitative approaches and qualitative approaches. The quantitative approach in this study was carried out using a survey method to measure digital culture. While the qualitative approach was obtained through descriptive analysis of quantitative findings and constructing strategies to build a digital culture of the community and digital culture of the Bandung city government. The result of this research is that the digital culture of Bandung city is quite mature. However, it has not been able to encourage active and substantive participation in the government's digital communication channels. Likewise, the digital culture of Bandung city government employees is also quite good. The digital culture of government employees has only had an impact on service quality quantitatively, but not yet qualitatively
Leveraging the modular design approach to enhance variation of SME LORI jewelry
Get PDFLORI SME (Small and Medium Enterprise), operating as a producer of fashion accessories characterized by local craftsmanship, encounters challenges in accommodating diverse customer preferences due to resource constraints. To unleash its full potential, there exists a pressing need to adopt innovative design methodologies. This research endeavors to investigate the application of a modular design approach as a strategic solution for augmenting the variety of LORI SME accessories, thereby facilitating the creation of a range of jewelry products that can be easily tailored and adapted to meet individual customer requirements. The study utilizes a qualitative research methodology, encompassing literature reviews, interviews with the owner, exploration of visual motifs and materials, and practice-based research. The findings of this research illuminate that the adoption of a modular design approach significantly enhances the diversity of LORI SME's jewelry offerings, particularly in the case of its necklace products. This modular approach provides SMEs with a broader array of customizable necklace options characterized by distinctive local motifs and high craftsmanship value. These findings furnish valuable insights for SMEs within the LORI SME sector aiming to expand their product portfolios. Additionally, they offer guidance to designers and artisans regarding the potential advantages and challenges associated with the incorporation of modular design strategies in the broader context of small business innovation and product development
Comparative Study of Takagi-Sugeno-Kang and Madani Algorithms in Type-1 and Interval Type-2 Fuzzy Control for Self-Balancing Wheelchairs
Get PDFThis study examines the effectiveness of four different fuzzy logic controllers in self-balancing wheelchairs. The controllers under consideration are Type-1 Takagi-Sugeno-Kang (TSK) FLC, Interval Type-2 TSK FLC, Type-1 Mamdani FLC, and Interval Type-2 Mamdani FLC. A MATLAB-based simulation environment serves for the evaluation, focusing on key performance indicators like percentage overshoot, rise time, settling time, and displacement. Two testing methodologies were designed to simulate both ideal conditions and real-world hardware limitations. The simulations reveal distinct advantages for each controller type. For example, Type-1 TSK excels in minimizing overshoot but requires higher force. Interval Type-2 TSK shows the quickest settling times but needs the most force. Type-1 Mamdani has the fastest rise time with the lowest force requirement but experiences a higher percentage of overshoot. Interval Type-2 Mamdani offers balanced performance across all metrics. When a 2.7 N control input cap is imposed, Type-2 controllers prove notably more efficient in minimizing overshoot. These results offer valuable insights for future design and real-world application of self-balancing wheelchairs. Further studies are recommended for the empirical testing and refinement of these controllers, especially since the initial findings were limited to four-wheeled self-balancing robotic wheelchairs
Social informatics and CDIO: revolutionizing technological education
Get PDFSocial informatics is an interdisciplinary area that examines how information and communication technologies (ICT) and the complex web of social and cultural contexts interact and change over time. This study not only helps with the design and use of ICT but also shows how these technologies significantly affect society and culture. It encourages new ideas, collaborations between different fields, and policymaking insights, which drives technological innovation and a better knowledge of how ICT affects society. The Conceive, Design, Implement, operate (CDIO) educational system stands out as a new and innovative teaching method. It emphasizes active learning and gives engineering students both technical and social skills. Its use in social informatics ushers in a new era of education that combines innovation and technology to help students become strong and independent. Future study on CDIO programs in social informatics education has the potential to augment the technical proficiency and social consciousness of graduates, thereby rendering them significant contributors to the field
Gaussian Processes-BayesFilters with Non-Parametric Data Optimization for Efficient 2D LiDAR Based People Tracking
Get PDFA model for expressing and describing human motion patterns must be able to improve tracking accuracy. However, Conventional Bayesian Filters such as Kalman Filter (KF) and Particle Filter (PF) are vulnerable to failure when dealing with highly maneuverable targets and long-term occlusions. Gaussian Processes (GP) is then used to adapt human motion patterns and integrate the model with Bayesian Filters. In GP, all samples in training phase need to be included and periodically, new samples will be added into training samples whenever it is available. Larger amount of data will increase the computational time to produce the learned GP models due to data redundancies. As a result, Mutual Information (MI) based technique with Mahalanobis Distance (MD) is developed to keep only the informative data. This method is used to process data which is collected by a robot equipped with a LiDAR. Experiments have demonstrated that reducing data does not raise Average Root Mean Square Error (ARMSE) considerably. EKF, PF, GP-EKF and GP-PF are utilised as a tool for tracking people and all techniques have been analyzed in order to distinguish which method is more efficient. The performance of GP-EKF and GP-PF are then compared to EKF and PF where it proved that GP-BayesFilters performs better than Conventional Bayesian Filters. The proposed approach has reduced data points up to more than 90\% while keeping the ARMSE within acceptable limits. This data optimization technique will save computational time especially when deal with periodically accumulative data sets. Comparing on four tracking methods, both GP-PF and GP-EKF have achieved higher tracking performance when dealing with highly maneuverable targets and occlusions
Improving the Size of the Propellers of the Parrot Mini-Drone and an Impact Study on its Flight Controller System
Get PDFUnmanned Aerial Vehicles (UAVs) are widely used in transportation, delivery, surveillance and surveillance applications. The development of stable, resilient, and accurate flight based on turbulence and turbulence will likely become a key feature in the development of unique flight control systems. In this research, we studied the control system of a small Parrot mini drone, the Mambo drone, which was designed using the MATLAB program, while we added turbulence to the drone by changing the weight of the original plane in the design, where we increased the weight and calculated the vertical projection area of the propellers of the plane several times until we got the best space for the propellers able to carry more extra weight. We imposed an increase in the drone's weight due to bad conditions that the plane experienced during its flight, such as snow or dust falling on it. In order to make the aircraft bear these weather conditions without falling and colliding, we calculated an appropriate increase in the area of the aircraft wing, and we actually applied it in the MATLAB-R2021a Simulink program, and we got good results using simulation as well as in real-time inside the laboratory, turbulence was added in the simulation program. The new design of the propellers demonstrated the aircraft's ability to carry an additional payload of approximately one-third of the aircraft's weight, as shown in the roads chapter. In future work, we propose to use this design on larger aircraft with fixed propellers and to study the effects of other weather conditions on UAVs, such as the effect of temperature, humidity, and others
Structural equation modeling and implication to educational management of dataset on attitudes, opinions, and behaviors related to COVID-19
Get PDFThis quantitative study utilized R, specifically RStudio, as statistical analysis program in analyzing the dataset on attitudes, opinions, and behaviors with respect to COVID-19. The variables in the dataset are focused on survey items that ask respondents to describe their feelings, physical reaction, perception, attitudes and behaviors towards various issues and aspects that concerns the current pandemic. The study intends to determine dimensionality of the dataset through Principal Component Analysis (PCA) and factor analysis, find out the factor loadings about observed variables and latent variables in the dataset, generate a model through Structural Equation Modeling (SEM), and interpret how the findings relate to educational leadership and management in the new normal. Principal Component Analysis (PCA) reveals that there are four components with most significant representation in the dataset which was confirmed by the scree plots and factor analysis that four factors are sufficient to analyze the dataset. Loadings revealed that these four factors are media, spiritual, political, and cultural aspects. A model that can guide interpretation and future related studies about attitudes, opinions, and behaviors with respect to COVID-19 has been generated through Structural Equation Modeling. It was implied by the findings that the four factors and their observable variables may be used as bases by educational leaders in gathering and analyzing data about attitudes, opinions, and behaviors of school stakeholders towards COVID-19 which can guide them in crafting and implementing responses, innovations and policies that are parallel to pandemic context)
The effects of interactive whiteboard with activity theory towards year five students’ motivation and performance in learning science
Get PDFThe purpose of this study is to investigate the effects of interactive whiteboard (IWB) with activity theory (AT) towards year five students’ motivation and performance in learning Science. This study explores the use and the effects of IWB in learning Science among Year 5 students. Learning activities that are based on Activity Theory approach have been designed to increase students’ motivation and performance in learning Science. Students' learning process and perceptions was analayse too. This study uses a quasi-experimental research design. The data collection process took about 4 weeks where a total of 40 students were selected as the sample of this research. The sample of this study consisted of Year 5 students of primary schools in Segamat District, Johor. Data were obtained through several instruments such as questionnaires and pre-test and post-test. Teaching and learning activities by using interactive whiteboard (IWB) with activity theory (AT) were designed and carry out during the research. The findings of this study will provide a vital contribution to the education field by giving a new option of choosing IWB to enhance teaching and learning process. Overall, The use of IWB integrated with Activity Theory in learning Science is able to increase students’ learning motivation. Students do better in class when they are motivated and have a positive attitude