Reviewerly/exHarmony huggingface dataset:
Research on Teaching Design of Open Source Hardware Projects Based on Production Learning

Digital tools such as mobile terminals, open source hardware, online learning platforms, and programming software continue to flood into our daily lives, gradually increasing people's ability to use digital tools to improve learning and facilitate their lives. In China's information age, using information technology tools to deal with people's daily lives and academic problems has become a very necessary ability. How to integrate the new generation of information technology and digital tools for learning in education and teaching to improve students' digital learning ability and higher order thinking dimension is a question worthy of deep consideration. The article starts from the concept of production learning and analyzes the suitability of the two in the context of the actual problems of teaching high school open source hardware courses, and uses "Smart Door Lock" as an example for classroom teaching. The article aims to improve students' core competency of "digital learning and innovation", and thus provide some useful reference and reference for high school IT teachers to implement open source hardware curriculum teaching.
TECHTASK: A technical support system of Northwestern University

Technical Support System is created to help individuals having technical issues with electronic device like computers and everything attached to it.Every institution has its own technical support technicians that are assigned to troubleshoot problems in their electronic devices.In Northwestern University, a Technical Support System is important for the colleges and other offices of the school to submit reports about the problems of their electronic devices such as their computers, printers and scanners.This study aimed to develop a Technical Support System for the university.The respondents are the Staff of CICT office and selected clerk of offices in the University.The Research and Development methodology was used in this study.Significant facts were gathered through observations, interviews and questionnaires.The problems identified in the present system are A. It is a Manual System B. It is not capable of managing tasks of the technicians C. It cannot record the amount of time spent on doing task of the technician.D. There are no reports being generated and E. It is not efficient and secured necessitates further improvement for better quality of service.The researchers came up with a design for developing a Web-based Technical Support System for NorthwesternUniversity.The effectiveness of the proposed technical support system was evaluated by the staff of CICT and selected clerk of offices and was rated as Strongly Agree, which means that evaluators strongly agreed in the effectiveness of the proposed system, hence, can be adopted for implementation by the University.
Enhanced aerial vehicle system techniques for detection and tracking in fog, sandstorm, and snow conditions

Abstract Unmanned aerial vehicles are rapidly being utilized in surveillance and traffic monitoring because of their great mobility and capacity to cover regions at various elevations and positions. It is a challenging task to detect vehicles due to their various shapes, textures, and colors. One of the most difficult challenges is correctly detecting and counting aerial view vehicles in real time for traffic monitoring objectives using aerial images and videos. In this research, strategies are presented for improving the detection ability of self-driving vehicles in tough conditions, also for traffic monitoring, vehicle surveillance. We make classification, tracking trajectories, and movement calculation where fog, sandstorm (dust), and snow conditions are challenging. Initially, image enhancement methods are implemented to improve unclear images of roads. The improved images are then subjected to an object detection and classification algorithm to detect vehicles. Finally, new methods were evaluated (Corrected Optical flow/Corrected Kalman filter) to get the least error of trajectories. Also features like vehicle count, type, tracking trajectories by (Optical flow, Kalman Filter, Euclidean Distance) and relative movement calculation are extracted from the coordinates of the observed objects. These techniques aim to improve vehicle detection, tracking, and movement over aerial views of roads especially in bad weather. As a result, for aerial view vehicles in bad weather, our proposed method has an error of less than 5 pixels from the actual value and give the best results. This improves detection and tracking performance for aerial view vehicles in bad weather conditions.
Regional Promotion of School-Based Training to Promote the Professional Development of Rural Teachers

Regional promotion of school-based research and study to improve the relevant systems, Focusing on the actual situation of rural schools, Found that school-based study in rural schools, Uneven development, Lack of teachers in rural schools, Insufficient funds for school-based research and training, The reward mechanism causes the vicious competition among teachers, The knowledge structure of the left-behind teachers is old, Teachers have limited competence, School-based teaching and research interest is not high, The lack of organizational forms of school-based training, The ways to solve these problems include the following aspects: turning regional resources into teaching materials, Integrating school-based research and training to promote teachers' professional development, Give full play to the practical advantages of the region, Promote the diversification of school-based research and study forms, Establish a mechanism for sustainable development, Realize the normalization of regional school-based research and training.
Order-Preserving Multiple Pattern Matching in Parallel

The order-preserving multiple pattern matching problem is to find all substrings of T whose relative orders are the same for any pattern in a set of patterns. Various sequential algorithms have been studied for the order-preserving multiple pattern matching problems. In this paper, we propose two parallel algorithms, each of which uses Aho–Corasick automata and fingerprint tables, respectively. We also present experimental results of comparing the execution times of each parallel algorithm on various types of time-series data.
The Role of Cloud Computing in Modern Business

Cloud computing has emerged as a significant technological innovation that has transformed the way businesses operate. This research paper examines the benefits of cloud computing for modern businesses, including cost savings, scalability, and improved efficiency. Additionally, the paper evaluates the potential risks and challenges associated with cloud computing, such as security and privacy concerns. The paper concludes with recommendations for businesses considering adopting cloud computing
From classification to matching: A CNN-based approach for retrieving painted pottery images

Recently artificial intelligence has begun to assist archaeologists in processing images of archaeological artifacts. We report a convolutional neural network approach to obtain feature vectors of painted pottery images by a preliminary classification machine learning of the cultural types. The model, trained on a photographic image dataset of Chinese Neolithic color-painted pottery, achieved 92.58% precision in assigning vessel images to corresponding archaeological types. The feature vectors contain information of vessel shape, color, and ornamentation design, based on which similarity coefficients for the images in the dataset were calculated. The quantitative measurement of similarity allows searching for the closest match to artifacts in the dataset, as well as a network of vessels in terms of similarity. This work highlights the potential of CNN approaches in curating of archaeological artifacts, providing a new tool assisting to study chronology, typology, decoration design, etc.
Preparing maximally entangled states by monitoring the environment–system interaction

A common assumption in an open quantum system is that the noise induced by the environment, due to the interaction between a quantum system and its environment, is responsible for the disappearance of quantum properties. Interestingly, Barreiro et al. (2011) show, experimentally, using an open-system quantum ion traps simulator, an environment state can be engineered and controlled to pump an arbitrary quantum system toward a maximally entangled state and thus can be considered a resource for quantum information processing. Here, we demonstrate this idea to pump an arbitrary maximally mixed state into Greenberger–Horne–Zeilinger (GHZ) state by simulating our quantum circuit using one of the IBM Q processors. Barreiro et al. (2011) offer the circuits for the execution of the GHZ pumping. Nevertheless, those are collected gates that are suitable to the trapped-ions platform, so their circuits implementation on the IBM Q devices would result in large depth circuits and thus requires many gates. Consequently, we suggest a different circuit structure that follow similar goals, but have been considered the features of the IBM Q platform. Moreover, we run the simulation of our circuit using the QASM simulator and free-web based interface, IBM Quantum Experience, with and without error mitigation, to investigate the effect of the noise on the preparation of the initial mixed states of the qubits in addition to the population of the target state of the system.
Improving the minimum distance bound of Trace Goppa codes

In this paper we prove that the class of Goppa codes whose Goppa polynomial is of the form $$g(x) = \textbf{Tr}_{{\mathbb {F}}_{q^{m}} \setminus {\mathbb {F}}_{q}}$$ where $$\textbf{Tr}_{{\mathbb {F}}_{q^{m}} \setminus {\mathbb {F}}_{q}}$$ is a trace polynomial from a field extension of degree $$m \ge 3$$ has a better minimum distance than what the Goppa bound $$d \ge 2\deg (g(x))+1$$ implies. This result is a significant improvement compared to the minimum distance of Trace Goppa codes over quadratic field extensions (the case $$m = 2$$ ). We present two different techniques to improve the minimum distance bound. For general p we prove that the Goppa code $$C(L, \textbf{Tr}_{{\mathbb {F}}_{q^{m}} \setminus {\mathbb {F}}_{q}})$$ is equivalent to another Goppa code C(M, h) where $$\deg (h) > \deg (\textbf{Tr}_{{\mathbb {F}}_{q^{m}} \setminus {\mathbb {F}}_{q}})$$ . For $$p=2$$ we use the fact that the values of $$\textbf{Tr}_{{\mathbb {F}}_{q^{m}} \setminus {\mathbb {F}}_{q}}$$ are fixed under q–powers to find several new parity check equations which increase the known distance bounds.
An Assessment of Information Literacy of Students in Digital Learning Environment

This study investigated the information literacy in the digital environment of university students from Vietnam. A survey was developed to collect quantitative data from self-assessment on information literacy of 328 students from different majors of teachers’ training at VNU University of Education. Using descriptive statistical methods for the data analysis, the study showed that the students were proficient in accessing and processing basic information types in the digital environment, and had the ability to apply information and communication technology to their learning and in daily activities, such as using Microsoft office applications, tools for searching information to solve learning tasks, using email and social networks for communication, information exchange and other ordinary purposes. Students were aware of the importance of safety and information security in the digital environment. However, creativity with digital information and emotional intelligence were not highly self-assessed. Students still had limitations in applying the information obtained from the digital environment to solve problems they faced in real life.
Divide-and-Conquer Template Attack on Scloud

Since shor proposed the quantum algorithm, the traditional public key cryptosystem is facing the risk of being breached. To address this issue, Post-Quantum Cryptography (PQC), also known as Anti-Quantum Cryptography, has been developed. Among the various PQC techniques, lattice-based cryptography has emerged as a significant area of research due to its many advantages. This paper studies the leakage of post quantum cryptography cloud on physical devices. Discovered that the matrix calculation operation of the Scloud algorithm has an impact on key security. Based on the characteristics of the curve, we propose a divide and conquer template attack method and introduce convolutional neural network technology for template construction. On the Cortex-M3 board, we have demonstrated that the proposed attack can effectively recover the key.
Research on the Reform of Laboratory Experimental Teaching of Automotive Majors in Local Undergraduate Institutions Based on Cloud Sharing

The development of network education resource cloud sharing in local undergraduate institutions can take advantage of cloud computing technology to achieve optimal integration and sharing of network automotive professional education resources, reduce resource construction costs, promote uniform distribution of resources, further improve the utilization rate of education resources, and promote the reform of laboratory experimental teaching of automotive majors in local undergraduate institutions. The current situation of laboratory experimental teaching of automotive majors in local undergraduate colleges and universities is analyzed, and the application mode of cloud sharing of educational resources of automotive majors in local undergraduate colleges and universities is discussed.
A brief discussion on the problems and suggestions of post-supply management in China

With the rapid development of China's social economy, the problem of post-supply management of public goods has become increasingly prominent. This paper takes the rural power supply system as an example to make an in-depth study of post-supply management. In recent years, the rapid development of rural areas has put forward higher requirements for the supply and management of rural power grid. Therefore, we must pay more attention to rural power grid transformation, and timely respond to farmers' demand for rural power grid to meet the needs of rural development in the new era. This paper firstly clarifies the concept of post-supply management, then analyzes the formation background and performance of this problem in practice, and finally analyzes the problems existing in the process of rural grid transformation in detail, and puts forward the framework of the feasibility scheme.
Integrated construction and implementation of GIS traditional teaching and flipped classroom

This paper discusses the construction process of integrating traditional teaching and flipped classroom of GIS course. Based on the construction of school-level online course of GIS, the whole teaching process is divided into three stages, such as teaching preparation stage, teaching implementation stage and post-class evaluation stage, and the effect evaluation is carried out in conjunction with the achievement of course objectives.
The Application, Motivations, and Effects of Blockchain Technology in University Online Learning Platforms

Blockchain technology has characteristics such as distributed, decentralized, de-trusted and invisible, and this technology has received widespread attention from researchers. While there has been considerable advancement in the study of blockchain technology's usage in China's educational system, further research must be done before it can be applied effectively in any given use case. To that purpose, this study, based on literature research methodologies, begins with the key characteristics of blockchain technology and the usage of contemporary online education platforms, uses the MOOCs online learning platform as an example, analyzes the platform's drawbacks, looks at the potential applications of blockchain technology in such platforms and its influence, and concludes by summarizing the findings.
Overview of the application of virtual reality in the field of visual arts and video games

Virtual reality (VR) is an important technology applied in the field of visual arts and game in recent years. VR has revolutionized the field of visual arts and video games with its unique immersion, interactivity, and has significantly improved the user experience for oneself. This paper summarizes the application of VR in visual arts and video games, including VR exhibitions, VR performances, VR tourism, VR games, etc. and compares them with traditional ways. The aspects of immersion and socialization of VR game are analyzed. At the same time, the limitation of VR interactive content and the defects of VR technology are indicated, including the problems of the gameplay's deficiency, VR input and output devices. The future development direction of VR technology is prospected.
Improving NLP Accuracy with Stack-Propagation and Knowledge Distillation: A Joint Model for Intent Detection and Slot Filling

Intent detection and slot filling are fundamental tasks in Natural Language Understanding (NLU), constituting important components of intelligent question-answering systems. These tasks are closely interrelated, forming a core aspect of semantic understanding in natural language processing. In this paper, we propose an architecture using Stack-Propagation to improve the accuracy of NLU tasks. In stack propagation, we use a joint model that mainly incorporates token-level intent detection data with sentence word vectors as input for slot filling to capture intent semantic knowledge. Additionally, we use knowledge distillation (KD) to improve model efficiency and enhance the correlation between the two tasks. Our proposed framework significantly differs from existing joint models as it directly leverages intent information in the joint model and adopts token-level intent information for slot filling to ease error propagation. Furthermore, our model can explicitly incorporate intent information for slot filling with Stack-Propagation, making the interaction procedure more interpretable, while other models only interact with hidden states implicitly between the two tasks. We experimentally evaluated our model on two publicly available datasets, and the results demonstrate that it achieves state-of-the-art performance and outperforms previous methods by a significant margin, indicating its superiority in addressing the slot-filling and intent detection tasks. In future research, we will combine the stack-propagation frame with the KD module in the Transform model, which can boost our model performance to move forward a single step in the NLU task.
Research on the practical application of innovative educational concepts in the reform of college education management

With the rapid development and continuous popularization of quality education in China, the diversification and practicality of education forms have become a problem that China's education management departments pay more attention to. The management of higher education is the foundation of all management work in colleges and universities, and it is also a key means to promote the construction of a socialist country and the all-round progress and development. In China's traditional educational thinking, colleges and universities are mostly based on theoretical knowledge education, and there is still a big gap between practical teaching and developed countries, which makes students' actual innovation ability not strong and cannot create a good growth space for students. Therefore, the management department should take innovative teaching ideas as the foundation, improve the management of college education, effectively promote innovative education concepts, and effectively improve the quality of college education management. This paper analyzes the problems existing in the reform of college education management, puts forward a new development concept for the practical application of college education management reform, and strives to provide new ideas and enlightenment for the future development of colleges and universities.
Optimization design of heat dissipation scheme for submarine data center based on analytic hierarchy process

Aiming at the problem of heat dissipation optimization design of submarine data center, firstly, the placement mode of server is designed, and on this basis, the heat generation power of server is analyzed by Newton cooling method of convective heat transfer to determine its feasibility. Secondly, based on the relationship between fluid velocity and pressure and the relationship between fluid velocity and heat dissipation through the container surface, the container structure design and its placement direction are clarified. Then, the optimal container shell material is determined by using multi-attribute decision-making model and analytic hierarchy process. Finally, the quadratic composite function of shell cost and seawater depth with respect to shell thickness is constructed to calculate the appropriate seawater depth. According to the research, considering the structure, placement method, heat dissipation effect and seawater temperature of the container, on the basis that a single container shell can be placed with up to 609 servers, Maraging 300 Steel is selected as the most suitable container shell material.
The Role and Impact of VR during the Epidemic

Since the outbreak began in the world, people have been so frantic that they can't go about their normal lives. But virtual reality is an almost perfect solution to this problem. This paper from virtual reality technology to office and learning help; The influence of virtual reality technology on economic market and the influence of virtual reality technology on medical treatment are discussed in three parts respectively. First of all, people's feelings about the integration of virtual reality technology into daily life under the epidemic and the acceptance of virtual reality technology to realize remote working and remote teaching. Secondly, virtual reality technology combined with all social strata and applied to all walks of life, the only virtual reality technology cannot solve the tourism industry suffered a heavy blow. Finally, during the epidemic period, virtual reality technology can also be used if offline training or rehabilitation training with patients is not available. These technologies are also applicable even in the future when there is no epidemic.
Human Following Based on Visual Perception in the Context of Warehouse Logistics

Warehousing and logistics robots, which have benefited from the development of 5G, the internet, artificial intelligence, and robot technology, are commonly used to assist warehouse personnel in picking up or delivering heavy goods at dispersed locations along dynamic routes. However, traditional programs that can only accept instructions or be preset by the system lack flexibility and existing human auto-following techniques either have difficulty accurately identifying specific targets or rely on a combination of lasers and cameras that are cumbersome and not effective at obstacle avoidance. This paper presents an algorithm that combines DeepSort and a width-based tracking module to track targets and uses artificial potential field local path planning to avoid obstacles. The algorithm is evaluated in a self-designed flat bounded test field and simulated in ROS, and is found to achieve state-of-the-art results in following and successfully reaching the end-point without hitting obstacles.