The current paper presents an original approach into the microgrid control framework by incorporating LSTM-based optimization with specific emphasis on refining the gain parameters of a ...Proportional-Integral-Derivative (PID) controller. This integration represents a significant advancement in improving the overall efficiency of microgrid control systems. By creatively applying LSTM optimization, the paper achieves dynamic adjustments of the PID controller's parameters, resulting in more precise regulation of output power quality. Through the utilization of the Unified Power Quality Conditioner (UPQC) in conjunction with LSTM-based optimization, the paper establishes a compelling link between improved power quality and the resultant tariff rates. This highlights their combined influence on enhancing power quality and calibrating tariff rates, providing a fresh perspective on optimizing microgrid operations.
In this study, a new Deep Sand Clock Tiny-Yolo Rice (DSC-T-yolo-Rice) network is proposed for rice leaf disease detection. Based on Tiny Yolo v4 network, the following modules are accomplished to ...improve the accuracy such as the Spatial Pyramid Pooling module (SPP), Convolutional Block Attention Module (CBAM), and Deep Sand Clock Feature Extraction Module (DSCFEM). Through the experimental results, it is proved that the proposed method achieves the highest test mAP.In addition, the proposed architecture in this paper focuses on the detection and analysis of key features.
This study implemented transformative pedagogy as a reflective approach to promote intercultural self-awareness and its potential consequences in the context of teamwork. The context was a ...second-year systems analysis and design course with 118 students in the fall 2021 semester and 155 students in the spring 2022 semester. The research question was: What are students' beliefs regarding their own cultural values and the potential implications of those values on their teamwork interactions? Findings from the study indicate that students realized that team dynamics and values are crucial to team experience. We found that students believed that commitment to the team and communication of values contributed to the experience of teamwork and teamwork success. Students also believed that coming together and making decisions together in a collectivistic manner would help the progress of the team.
Despite many initiatives to increase participation in K-12 computer science (CS), only about half of the public high schools offer CS, and only about a third of the K-8 public schools offer CS. To ...make matters worse, even if schools offer CS, interests wane from late elementary through post-secondary education. The lack of participation has been attributed to feelings of not belonging, technology-rich programs creating divides among students, and negative belief systems that CS is socially isolating, lacks creativity or fun, and is for intelligent, white males, and we believe one contributing factor is the way CS is introduced, taught, and scaffolded. In this full paper, we present innovative pedagogical approaches to teach fundamental CS concepts, such as abstraction, representation, algorithms, and computation, to 6th grade students using manipulatives, which are physical objects that students interact with to teach or reinforce a concept. Teaching and learning using manipulatives has a long history in science and mathematics education, but the development of and research on manipulatives to teach CS concepts is less common. Through observational field notes from a 6th-grade classroom and interviews with the teacher, we discuss the affordances and drawbacks of the different approaches and manipulatives. We found that using manipulatives led to increased student engagement and participation with the material and made teaching the material more exciting and engaging for the teacher. In addition, we found that the manipulatives provided a way for student misunderstandings and errors to be more apparent through tinkering with the physical objects, and the teacher was able to easily understand how to extend the activities and find ways to connect multiple CS concepts. However, we observed several drawbacks with different manipulatives and approaches for using the manipulatives that could be helpful for future changes and the development of new manipulatives. For example, the puzzle-like games we gave students to construct algorithms for tossing a coin to see who goes first in a game and playing Rock, Paper, Scissors were challenging for students to recreate a given algorithm that was not necessarily an algorithm they would have designed themselves.
3D object detection is a vital computer vision task in mobile robotics and autonomous driving. However, most existing methods have exclusively focused on achieving high accuracy, leading to complex ...and bulky systems that can not be deployed in a real-time manner. In this paper, we propose the ER3D (Efficient and Real-time 3D) object detection framework, which takes stereo images as input and predicts 3D bounding boxes. Instead of using the complex network architecture, we leverage a fast-but-inaccurate method of semi-global matching (SGM) for depth estimation. To eliminate the accuracy degradation in 3D detection caused by inaccurate depth estimation, we introduce decoupled regression head and 3D distance-consistency loU loss to boost the accuracy performance of the 3D detector with a small computing overhead. ER3D achieves both high-precision and real-time performance to enable practical applications of 3D object detection systems on robotic systems. Extensive experiments with the comparison of the state of the arts demonstrate the superior practicability of ER3D, which achieves comparable detection accuracy with significant leadership on inference efficiency.
This paper introduces an approach for imaging non-cooperative air targets using multi-temporal and multi-bistatic ISAR techniques. The proposed method harnesses the power of multiple radar systems ...and longitudinal radar measurements to generate a high-resolution image of the observed target. The paper concisely overviews the practical theory underpinning bistatic ISAR imaging, emphasizing real-data results.
The Robotics Innovative Technologies and Education (RITE) Lab provides an interdisciplinary environment for designing and constructing intelligent social robots leveraging artificial intelligence ...(AI) and Human-Computer Interaction (HCI). This paper is divided into two parts. In the first part, we delineate five distinct generations of robotics technology identified through a comprehensive literature review. The second part showcases our lab's successful strategy in covering these five generations by offering a comprehensive multi-disciplinary theoretical and hands-on experience using nine individual modules. This is achieved by using a unique 'black box/white box' approach and continuous improvement since 2012, ensuring a 100% success rate, with students capable of building and programming their robots from scratch. Our program's broad scope spans imminent robotics innovations (2023-2028) and envisions long-term future developments. This paper serves as a blueprint for similar educational endeavors, encapsulating the RITE Lab's successful ten-year journey.
A web-based learning platform is useful as it allows students with limited or no programming background to conduct in-depth hands-on practice in data science. Background: The need for data science ...coursework for non-computing majors has grown in recent years, given the demand in various disciplines. However, a substantial number of current data science courses are inappropriate for non-computing majors as they typically require a long chain of prerequisite courses in computer science and mathematics. Moreover, courses designed for computing majors do not match the preparation and interests of students majoring in other disciplines. Outcomes: This paper presents a platform for Learning Data Science (DSLP), a web-based platform, which assists in the teaching and learning of data science topics by students with limited or no coding experience, including those that have completed a high school AP Computer Science Principles (CSP) class or an equivalent CSP course increasingly offered in many colleges. Application Design: The platform helps students understand fundamental data science concepts and techniques, as well as provides them with an in-depth hands-on experience that goes beyond their coding capabilities. The platform offers various data visualization supports to help students understand data and analysis results. Students can use the platform to work on in-house datasets or their own data. This allows students to focus more on how to solve data science problems in various domains than how to write code. The platform also has several unique features that make it particularly helpful for teaching and learning data science topics such as code exemplification and sandbox, informative instructions, and progress monitoring. Findings: The platform has been used multiple times in data science courses for non-computing majors offered at the authors' institution. Preliminary student feedback indicated that the platform is effective in terms of improving student understanding and interest in the topics.
The car manufacturers all over the globe are intensively competing among each other in terms of the design and fuel consumption factor. Nowadays the reduction of drag is becoming a very important ...challenge for all the car manufacturers as they are producing powerful cars with better fuel consumption in the market regulated with law reinforcement on fuel emissions and consumers. Lower drag provides better performances such as higher top speed and better stability. It also often lowers aerodynamic noise and greenhouse gas emission above all decreases in fuel consumption. However, modern designs of cars tend to go higher and wider and thus they have higher frontal areas due to the functional, economic and aesthetic requirements. Increasing frontal area of the vehicle tend to increase the drag force acting on the vehicle which is proportional to the dimensionless drag coefficient and the projected area of the vehicle. Consequently, to hold or even decrease the drag on a car that has a larger frontal area, tremendous effort has to be made. In this research both experimental and numerical analysis have been done to an existing model of a car with some various aerodynamic add-on devices that can be attached to car and reduce aerodynamic drag of the vehicle without comprising on its main design features.
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