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Value-Focused Investigation into Programming Languages Affinity 3

Value-Focused Investigation into Programming Languages Affin...

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3rd international Computer Programming Education conference, ICPEC 2022

作者： Neto, Alvaro Costa Araújo, Cristiana Pereira, Maria João Varanda Henriques, Pedro Rangel Instituto Federal de Educação Ciência e Tecnologia de São Paulo Barretos Brazil Centro ALGORITMI Departamento de Informática University of Minho Campus Gualtar Braga Portugal Research Centre in Digitalization and Intelligent Robotics Polythechnic Insitute of Bragança Portugal

ISBN: (纸本)9783959772297

The search for better techniques to teach computer programming is paramount in order to improve the students' learning experiences. Several approaches have been proposed throughout the years, usually through technical solutions such as evaluation systems, digital classrooms, interactive lessons and so on. Personal factors, such as affinity, have been largely unexplored due to their qualitative and abstract nature. The results of a preliminary survey on how and why affinity is created between programmers and their favorite languages, conducted on a master's degree class at Universidade do Minho, showed unexpected results as to which languages became favorites and the possible reasons for the students' choices. Aiming at further exploration on this topic and continuation of this research, the Value-Focused Thinking method was applied in order to construct a more complex, in-depth survey. This value-oriented method kept focus under control and even raised a handful of opportunities to improve the research as a whole. This paper describes the Value-Focused Thinking method and how it was applied to construct a new and deeper computer programming education survey to understand affinity with languages. © Alvaro Costa Neto, Cristiana Araújo, Maria João Varanda Pereira, and Pedro Rangel Henriques;licensed under Creative Commons License CC-BY 4.0

关键词： Computer programming languages

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Analysis of Accurate Focal Points and Automatic Method of Digital Holographic Microscopy (DHM) for Obtaining an Accurate 3D Profile

Analysis of Accurate Focal Points and Automatic Method of Di...

引用

international conference on control, automation and Systems ( ICCAS)

作者： Taishi Ono Hyun-Woo Kim Myungjin Cho Min-Chul Lee Department of Computer Science and Networks Kyushu Institute of Technology Iizuka Fukuoka Japan School of ICT Robotics and Mechanical Engineering IITC Hankyong National University Anseong Kyonggi-do Republic of Korea

Currently, Digital Holographic Microscopy(DHM) is used for researching disease diagnosis or microbes. It cannot obtain the correct three-dimensional (3D) profile for a little noise because biological cells are microscopic. Then we need images of the focal point of DHM for reducing noise. However, in DHM, the depth of field becomes smaller influenced by the objective lens. In addition, focusing to obtain hologram images of biological cells in conventional DHM systems is entirely manual, because the decision of the focal point is made by the photographer's senses, which makes it even more difficult to focus on the object. These factors make it difficult for the conventional DHM system to acquire images of the focal points. Therefore, in this paper, we propose the analysis of accurate focusing points using a noise map. This eliminates the illusion or misperception that is a drawback of the manual. We improved an accurate 3D profile. 3D profiles were created at the focal point by the proposed method and at the positions before and after the focal points, and evaluated for SNR. From this, the proposed method can be used to analyze biological cells and microstructures.

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Intelligent Decision Support System for Assessing Works with Free Response based on Production Model

Intelligent Decision Support System for Assessing Works with...

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Technology Enhanced Learning in Higher Education (TELE), international conference on

作者： Viktoriya Latypova The Faculty of Informatics and Robotics Ufa University of Science and Technology Ufa Russia

Works with free response are usually used in training, as well as in engineering education. These works assessment faces a lot of challenges, especially in conditions of online learning. The use of criteria system underlies the formation of a score for work with free response. In the case of works like essays the assessment can be made without the participation of expert-tutor by means of automated essay scoring systems. In the other cases his engagement is required, and the assessment takes place usually manually with the use of a rubric. This procedure is very long and labour-intensive for tutors, particularly with the large number of works, which are to be assessed as quickly as possible. The challenge is further amplified by iterativeness of assessment procedure which is typical, for example, to term papers, productive and pre-diploma practice reports actively used in engineering education when students are as close as possible to real tasks implementation. Another question arises, because work assessment is carried out without consideration for work correction characteristics, that is why a formed score is inaccurate. A student work with free response assessment model based on production model that takes into account the efficiency of work correction made by student, and whose application allows to ease the formation of a score for work with free response, is proposed in the paper. The assessment model is implemented in an intelligent decision support system, which was used in assessing pre-diploma practice reports in Ufa State Aviation Technical University during online learning.

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IoT-based Smart Municipal Garbage Management System for Fertilizer Processing System

IoT-based Smart Municipal Garbage Management System for Fert...

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robotics, automation, Artificial-intelligence and Internet-of-Things (RAAICON), 2019 IEEE international conference on

作者： Riadul Islam Anup Kumar Roy Ali Ahsan Md Mahfuzur Rahman Enam Md. Tanvir Islam Mim Abu Shufian Dept. of Electrical Engineering Lamar University Texas USA Dept. of Electrical & Electronic Engg American International University-Bangladesh Dhaka Bangladesh

ISBN: (数字)9798331534400

ISBN: (纸本)9798331534417

Food disposal is an important issue that has emerged in the modern world and has become more of a concern in our society in recent years, affecting both rich and poor countries. The Collection of waste is a much-needed municipal service for city people for environmental balance. This operation requires high expenses because of various factors such as manpower, navigation of vehicles, fuel, maintenance, and environmental costs. This study highlights a prototype that has been designed considering the above factors of essential implementation of the smart garbage bin to develop a proper municipal waste management system that is useful for the further fertilizer processing system. The prototype discussed here has been developed by a GSM module and ultrasonic distance measurement technology integrated into microcontrollers. This system has been simulated using EDA tools before hardware-based implementation according to the requirements. The proposed system offers a proper web server and SMS notification alert system to stop municipal garbage bins from overflowing. Using data server proper resources can be utilized such as creating location-based shortest paths and tracking worker’s performance, etc. A food waste management awareness system also can be displayed to raise public awareness for food scraps to be recycled and utilized to create fertilizer for new plantings. The suggested approach promises to contribute to a more sustainable and cleaner urban environment by encouraging citizen participation in recycling and trash reduction initiatives and optimizing waste management strategies for the respected organizations.

关键词： Waste management GSM Food waste Urban areas Prototypes Organizations Web servers Sensor systems Sensors Fertilizers

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Resource Center for Computer Science at Novosibirsk State University

Resource Center for Computer Science at Novosibirsk State Un...

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informatics, Electronics, and Radio Engineering (PIERE), international conference Problems of

作者： Mikhail M. Lavrentiev Marina A. Derzho Computer Graphics Software Lab Institute of Automation and Electrometry SB RAS Novosibirsk Russia Faculty of Information Technologies Novosibirsk State University Novosibirsk Russia

ISBN: (数字)9798331516321

ISBN: (纸本)9798331516338

A Resource Center for Computer Science (RCCS) has been established at Novosibirsk State University. The Center includes a ready-to-launch first year undergraduate program in Computer Science, complete with an edtech platform and original ready-to-go teaching materials as well as short requalification courses for the clients' teaching staff and various support services. RCCS is intended for educational institutions that wish to outsource curriculum and staff development for part of their undergraduate program without compromising the quality and appeal of their taught provision. Investment in original concepts and materials as well as recruiting top-notch academic staff for course delivery is often beyond the means of smaller schools in less affluent regions, especially if the program has to be centered on problem-solving and depend on lateral thinking and critical evaluation of knowledge. This is where the concept of RCCS is likely to be at its most useful: not only does the Center support rapid course deployment, it also has a profound effect on the client's staff who will, after a few runs of the program, be equipped, both intellectually and in terms of edtech, to develop further materials while adhering to the principles and quality standards promoted by RCCS. Furthermore, being an RCCS client enables such a school to run side-by-side its regular undergraduate CS program to cater for the needs of local industry, and an advanced one for a few students who may have a higher potential/aspiration, without the school incurring prohibitive costs.

关键词： Computer science Training Industries Costs Computer science education Problem-solving informatics Standards Investment IEEE Regions

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A non Invasive Brain-Computer-Interface for Service robotics

A non Invasive Brain-Computer-Interface for Service Robotics

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Artificial Intelligence (ICAI), international conference on

作者： Fatima Ahmed Hashim Iqbal Ahmed Nouman Hafiz Farhan Maqbool Saqib Zafar Muhammad Khurram Saleem Mechatronics Engineering Department University of Engineering & Technology Lahore Pakistan Computer Science Department AASS Orebro University Örebro Sweden Mechatronics Engineering Department University of Engineering & Technology Taxila Pakistan

A Brain-Computer Interface (BCI) enables individuals to control a system solely through their brain activity, without relying on physical movement. These interfaces have numerous applications, particularly in assisting individuals with paralysis. Our research paper details a BCI interface that can classify and control seven wheelchair movements: forward, backward, left, right, stair climbing upwards, stair climbing downwards, and stop. We collected raw signal data using the electroencephalog-raphy (EEG) technique from healthy volunteers, which we then filter before feeding into the feature extraction and classification stages. We evaluated our approach using three classification algorithms: Convolution Neural Network (CNN), Support Vector Machines (SVM), and Random Forest Classifier, and compared their performance. Our experimental results demonstrate that our proposed approach is highly promising for implementing BCI, with a classification accuracy of 99% using a Random Forest Classifier.

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Stability Analysis of 3C Electronic Industry Robot Grasping Based on Visual-Tactile Sensing

Stability Analysis of 3C Electronic Industry Robot Grasping ...

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robotics, automation and Artificial Intelligence (RAAI), IEEE international conference on

作者： Teng Yan Yuxiang Sun Yang Zhang Zhenxi Yu Wenxian Li Kailiang Zhang Shenzhen University Shenzhen China Shenzhen Technology University Shenzhen China

ISBN: (数字)9798350307566

ISBN: (纸本)9798350307573

This study addresses the stability of robotic grasping and assembly in the 3C electronics industry, an area often plagued by issues such as slippage and twisting of target objects during grasping, which negatively impacts production efficiency and product quality. Previously, solutions primarily relied on conventional visual detection techniques, which suffered from low recognition rates in complex environments, strong dependence on light and background, and suboptimal performance with transparent or reflective objects. Although advances in sensor technology allowed traditional tactile detection methods to effectively gauge grasp strength and prevent objects from being damaged, these approaches were constrained by the objects' material, shape, and friction, affecting accuracy. Unfortunately, both of these require considerable datasets to train. We propose a new grasping solution with small datasets. It integrates Visual-Tactile sensing to counter these limitations via a Dual-Stream neural network-based model to synthesize data. The merged data are then fed into a Vision Transformer (ViT) network to determine the grasping stability, with an achieved accuracy of 98.86%. This approach enhances grasping stability and exhibits superior adaptability in complex environments.

关键词： Visualization Accuracy Service robots Shape Electronics industry Grasping Robot sensing systems

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Internet of Things Based Health Monitoring System Using Smart Glove

Internet of Things Based Health Monitoring System Using Smar...

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robotics, automation, Artificial-intelligence and Internet-of-Things (RAAICON), 2019 IEEE international conference on

作者： Mohammad Faisal Ahmed Nowshad Hasan Mohammad Woli Ullah Md. Maskat Sharif Md Tohedur Rahaman Khan Md Rokibul Fahad Khan Anamul Bahar Department of Electronics and Telecommunication Engineering Chittagong University of Engineering and Technology Chittagong Bangladesh Department of Electronics and Telecommunication Engineering International Islamic University Chittagong Chittagong Bangladesh Department of Computer Science Enginnering University of London London United Kingdom

ISBN: (数字)9798331534400

ISBN: (纸本)9798331534417

The current healthcare and emergency response systems face significant challenges in preventing fatalities and serious injuries among elderly individuals and those living alone due to falls, delayed emergency care, and insufficient continuous health monitoring. This research proposes the development and evaluation of a cost-effective smart hand glove designed to enhance the safety and health monitoring of these vulnerable populations. The smart hand glove is built using an Arduino Uno microcontroller, an ESP8266 Wi-Fi module, two MPU6050 sensors for fall detection and gesture recognition, and a MAX30100 sensor for heart rate and SpO2 monitoring. These components work together to detect falls, recognize specific hand gestures, and continuously monitor vital signs. Upon detecting a fall or receiving a gesture input, the system triggers automatic SMS and email alerts to designated contacts. Additionally, health monitoring data is transmitted to a secure, password-protected website accessible by healthcare providers. The smart hand glove demonstrated its potential in improving safety and health outcomes for elderly individuals and those living alone by enabling timely medical intervention and continuous health monitoring. This innovative solution addresses critical gaps in emergency response and healthcare for vulnerable populations, ensuring better safety and wellbeing.

关键词： Hands Heart rate Medical services Gesture recognition Emergency services Older adults Fall detection Monitoring Intelligent sensors Wireless fidelity

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Distributed Task Assignment Method for Multiple Robots Based on Dynamic Auction Rules

Distributed Task Assignment Method for Multiple Robots Based...

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Consumer Electronics and Computer Engineering (ICCECE), 2021 IEEE international conference on

作者： Jiajie Xu Chinyin Chen Silu Chen Qiang Liu Faculty of Electrical Engineering and Computer Science Ningbo University Ningbo China Zhejiang Key Laboratory of Robotics and Intelligent Manufacturing Equipment Technology Ningbo Institute of Materials Technology & Engineering Chinese Academy of Sciences Ningbo China

Existing researchs on multi-robots task assignment focus on improving the task assignment efficiency without considering the task execution time and ignoring the overall task completion efficiency, which leads to its low computational efficiency in dynamic task assignment scenarios. In addition, the use of a centralized control structure requires high communication quality between robots. To address the above issues, we propose a distributed task assignment method for multiple robots based on dynamic auction rules. The method uses distributed control of robot swarms to share and dynamically update each other's task sets, employs dynamic auction rules for task bidding, adds links to adjust the task execution order, and considers the overall task completion efficiency. Finally, relevant experiments are designed, and the experimental results show that the algorithm is more efficient in terms of distribution and stability, balancing higher execution efficiency and lower motion cost.

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Photon-Counting Integral Imaging Using Bayesian Estimation with Depth Camera Information

Photon-Counting Integral Imaging Using Bayesian Estimation w...

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international conference on control, automation and Systems ( ICCAS)

作者： Hideaki Uchino Hyun-Woo Kim Myungjin Cho Min-Chul Lee Department of Computer Science and Networks Kyushu Institute of Technology Iizuka Fukuoka Japan School of ICT Robotics and Mechanical Engineering IITC Hankyong National University Anseong Kyonggi-do Republic of Korea

In this paper, we propose a method for visualizing object information under low light conditions using photon-counting integral imaging and depth images as prior information. To visualize 3D objects under low-light conditions, computational photon-counting imaging may be used. It is possible to estimate photons using statistical methods such as the Poisson distribution. Therefore, photon-counting integral imaging can visualize 3D images under low-light conditions by maximum likelihood estimation (MLE). However, MLE does not consider prior information so it may not be an accurate estimation. In addition, it is difficult to obtain accurate depth information as the distance increases due to rounding errors caused by computational reconstruction. Therefore, we propose Bayesian estimation such as a maximum a posteriori estimation method that uses as a priori information images from a depth camera, which can be acquired even in low-light conditions, to improve the quality of 3D images. To evaluate image quality of the proposed method, optical experiments were conducted by calculating image quality metrics. This technology can be utilized for night vision applications, such as object recognition in security camera systems and autonomous driving, using RGB cameras and depth cameras.

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