Reviewerly/exHarmony huggingface dataset:
Introduction plan for autonomous police officer recruitment system through core competency analysis by police job

In 2021, the 「Act on Organization and Operation of National Police and Autonomous Police」 was completely revised, and the autonomous police system was implemented in earnest. Based on this law, the national police affairs and the autonomous police affairs are divided, but the national police organization and the autonomous police organization are not clearly distinguished. Currently, the national police force and the autonomous police force are not distinguished, and new police officers are recruited equally. However, since the duties and roles of the National Police and the Autonomous Police are different, it is necessary to hire a police officer with the appropriate competence. Therefore, it is proposed to introduce a system that analyzes the capabilities of the autonomous police and hires suitable personnel for the autonomous police. By analyzing the 「Core Competency Guidebook by Police Job」 published by the National Police Agency, the competencies for each job of the autonomous police were derived. The competencies required for self-governing police officers were identified as ‘value competencies’, ‘job attitude competencies’, and ‘other competencies’, which are common competencies. Among them, some of the ‘value competency’ and ‘work attitude competency’ were excluded from the evaluation items of the first written test because it is more appropriate to evaluate them through a personality and aptitude test or an interview rather than a written test. In addition, it is proposed to use the NCS basic occupational competency evaluation as the most suitable method for evaluating the competence of autonomous police officers. As a way to evaluate ‘other competencies’, it is necessary to develop and apply case-oriented items that can evaluate job competencies rather than the existing written test method. The physical fitness test, personality and aptitude test, and interview test are operated similarly to the current recruitment system, and the written test needs many changes. In addition, the reflection rate of the written test should be lowered and the reflection rate of the physical fitness test should be raised. In order to operate such an autonomous police officer recruitment system, a nationwide recruitment agency will be needed.
Null-Space-Based Adaptive Control for Aerial Manipulators on Cooperatively Transporting Cable-Suspended Objects

This paper proposes a system framework for aerial manipulators to cooperatively transport a cable-suspended load. If the trajectory of the payload is considered as the control object, the entire system of the aerial manipulators and the slung load is redundant. Therefore, the null-space-based (NSB) controller can be presented to ensure the position/orientation of the slung load via the control for the quadrotors and robotic arm. The load trajectory and interactive force on the aerial manipulator during transportation are investigated. Additionally, the adaptive control method is presented in the inner controller to keep the control performance under dynamic uncertainties, interactive forces, and unknown load. To demonstrate the stability and efficacy of the proposed control structure, Lyapunov stability analysis, and numerical simulations are presented.
Extrinsic Calibration of 2D Millimetre-Wavelength Radar Pairs Using Ego-Velocity Estimates

Correct radar data fusion depends on knowledge of the spatial transform between sensor pairs. Current methods for determining this transform operate by aligning identifiable features in different radar scans, or by relying on measurements from another, more accurate sensor. Feature-based alignment requires the sensors to have overlapping fields of view or necessitates the construction of an environment map. Several existing techniques require bespoke retroreflective radar targets. These requirements limit both where and how calibration can be performed. In this paper, we take a different approach: instead of attempting to track targets or features, we rely on ego-velocity estimates from each radar to perform calibration. Our method enables calibration of a subset of the transform parameters, including the yaw and the axis of translation between the radar pair, without the need for a shared field of view or for specialized targets. In general, the yaw and the axis of translation are the most important parameters for data fusion, the most likely to vary over time, and the most difficult to calibrate manually. We formulate calibration as a batch optimization problem, show that the radar-radar system is identifiable, and specify the platform excitation requirements. Through simulation studies and real-world experiments, we establish that our method is more reliable and accurate than state-of-the-art methods. Finally, we demonstrate that the full rigid body transform can be recovered if relatively coarse information about the platform rotation rate is available.
팬데믹 상황에서 국제 대학원생의 온라인 학습 경험에 대한 탐색

Objectives The purpose of this study is to explore the online learning experience of international graduate students studying abroad in a pandemic situation. Methods To this end, in-depth interviews were conducted with 12 Chinese graduate students who had online learning experience while studying abroad in Korea, Australia, and the UK, and a qualitative analysis was conducted on the transcribed interview data. These semi-structured interviews were designed to gather comprehensive and detailed information regarding the participants' experiences, perspectives, and insights regarding online learning. The interview data were transcribed verbatim and subsequently underwent a qualitative analysis process to identify and extract meaningful themes and patterns. Results Firstly, the study participants expressed satisfaction with the opportunity to continue their learning journey while feeling physically and psychologically safe through online learning, a significant step forward from their initial concerns about the feasibility of online learning in the COVID-19 environment. Secondly, they faced various challenges in adapting to online instructors and teaching methods, particularly as international graduate students with language and cultural barriers. Thirdly, it was revealed that the participants in the study had complicated feelings about the dual aspects of using technology, which is one of the main elements of online learning. That is, they did not deny that ethical risks were a concern. In contrast, the ability of technology to speed up the learning process was also mentioned. Fourthly, the participants found solace in forming supportive student communities, whether self-sustaining or provided by the educational institution, as a means of overcoming the difficulties encountered in the online learning process. Finally, successful online learning required learners to possess adaptability and a greater tolerance for change, as they balanced the demands of online education with their work and family responsibilities. Conclusions This study intended to explore in depth the online learning experience that has rapidly increased since the COVID-19 epidemic. The results derived from this research are expected to be important data to understand what kind of experience international learners are in, especially those who have crossed borders who will be learning in different cultures and educational environments.
Semi-supervised Text Similarity Recognition based on Adjusted-Jaccard and LDA

With the development of the Internet and big data technology, unstructured natural language processing (NLP) has become the current research hotspot. At the same time, semi-supervised model construction is also a widespread concern in the field of machine learning and deep learning. Based on WeChat official account news text data, this paper studies the similarity classification of text data with specific tendencies (such as tourism) on the text data set without categories. A semi-supervised text similarity recognition model based on Adjust-Jaccard similarity and Latent Dirichlet Allocation(LDA) is proposed. In the unsupervised learning part, through the comparative experiment of various similarity algorithms, it is concluded that the Adjust-Jaccard similarity algorithm proposed in the text has significant recognition effect under the standard dimension of subject words with specific tendencies screened by LDA. In the supervised learning part, after the text data has been preprocessed and chi-square test feature screening, through the comparison of the training effects of multiple machine learning classifiers such as cyclic neural network long short term memory (LSTM), multilayer perceptron (MLP) and random forest, it is found that random forest has good recognition effects, with AUC and ACC values of 0.96 and recall rate of 81%.
LN-PCA: Differential Privacy Protection of Medical Data Based on Principal Component Analysis Adding Laplace Noise

It is urgent to implement effective privacy protection for medical data. Considering that most of the differential privacy protection schemes directly add noise to the original data, the privacy budget is consumed too quickly when the dataset is very large. Based on the characteristics of large volume and dynamic update of medical data, in this paper we propose a differential privacy protection method for Principal Component Analysis adding Laplace Noise(LN-PCA). Our algorithm has three available forms according to adding noise in different steps N-PCA. We add noise after reducing the dimension of original data, attaching smaller noise added in total. For the ever expanding dataset, the privacy protection of the algorithm for the original data extension has also been proved. Finally, we demonstrate that LN-PCA ensures the validity and availability of the medical data.
VARIAÇÃO DO CUSTO DA CESTA BÁSICA DE CAICÓ (RN) E A COVID-19

Freedom of expression conveyed to a human textual production is understood, applying, in this case, the broad definition of text by Barthes resumed by Gentil de Faria.Although
A One-Dimensional Residual Network and Physical Fitness-Based Exercise Prescription Recommendation Method

In the context of the national big data strategy, physical fitness test data has become one of the main influencing factors in guiding and promoting the participation of the population in sports and fitness. Recommending exercise prescriptions based on national physical fitness test data has become an important research topic. However, currently, there is little research on how to accurately use computer data processing technology to recommend exercise prescriptions based on physical fitness test data. In this study, we propose a ResNet-based Exercise Prescription (ResNet-EP) method that utilizes one-dimensional residual neural network technology to recommend exercise prescriptions based on physical fitness testing data. This method comprehensively analyzes physical fitness testing data and exercise prescription data and realizes the automatic recommendation of exercise prescriptions. Experimental results on a real dataset demonstrate that the ResNet-EP model outperforms other comparison models in terms of precision (79.98%), recall (83.73%), and F1 score (81.81%). This study provides novel insights into the combination of physical fitness testing and exercise.
Convolutional Neural Network Based Denoising for Digital Image Correlation Reconstructing High-Fidelity Deformation Field

Digital image correlation (DIC) is a widely used technique for full-field deformation measurement based on image processing. The high quality of images input for correlation is the most important guarantee for obtaining accurate physical field. In this paper, we propose a new method to deal with the negative effects of noise especially for deep learning-based DIC. Denoising convolutional neural network (DnCNN) block is introduced to deal with the noise before speckle patterns are fed into deep learning-based DIC. A new speckle pattern dataset, SPDataset, is created to train DnCNN on speckle features rather than on images with semantic information. The performance of networks trained on specific and blind noise level is compared and the possibility of network structure simplification is explored. The depth and performance of the network reach a good compromise at a layer number of 9. The denoising ability of the network for speckle patterns was confirmed qualitatively and quantitatively.
Biometric Signature Authentication with Low Cost Embedded Stylus

This paper presents an affordable stylus device with embedded inertial sensing for measuring dynamic kinematic data from handwritten signatures for the purposes of user identification. A set of spatiotemporal features are proposed for use in a simple multilayer perceptron classifier, and a brief user study is conducted for evaluation with promising results. In general, user authentication is a key component of securing digital information in cyber-physical systems. Current methods span alphanumeric passwords, multi-factor authentication, and biometric techniques, with each providing trade-offs between convenience, flexibility and security. This work presents a device that marries a kinematic trajectory unique to each person (handwritten signature) with digital authentication via a stylus type device. Handwritten signatures are ubiquitous for authenticating paperwork, credit card transactions, check deposits and ballot boxes to name a few. Oftentimes, handwritten signatures are executed and treated perfunctorily as a matter of routine with no genuine intention towards security or authentication. When authentication is requested of handwritten signatures, most often the only recourse is expert visual examination of the written pen strokes. While some methods have investigated the use of measuring temporal, inertial data from handwritten signatures as a mode of authentication, these were executed with either expensive haptic robotic devices or prototype, externally mounted sensors. This work enables dynamic inertial authentication methods of handwritten signatures in a low cost, seamless embedded stylus device.
Trajectory planning approach for autonomous electric bus in dynamic environment

Path planning is a challenging task to achieve vehicle autonomy, and it becomes even more difficult in handling dynamic situations and big vehicle sizes. Its performance is affected by the accuracy of mapping and vehicle localization. Many path planning algorithms have been developed to address static environments, however, these do not accurately reflect real-world scenarios which are dynamic in nature. This paper introduces a new planning architecture consisting of a global planner that plans a path in an occupancy grid map generated using LIDAR and odometry data. The local planner uses this global plan and plans a local plan on a section of the map that takes into consideration dynamic obstacles. Both the local and global plans are used to calculate the optimum velocity profile, providing a feasible and comfortable trajectory. The trajectory is then fed to a predictive Stanley controller, and both the calculated steering angle and the optimum velocity are achieved by low-level controllers. The performance of the proposed architecture was tested on a golf bus in a constrained environment and compared to different manual driving attitudes using a key performance indicator. The results of the proposed architecture show that it has a better KPI, with an average of 37% better than manual driving.
Analisis Pengukuran Tingkat Kematangan Tata Kelola Sistem Informasi Manajemen Keuangan Daerah (SIMDA Keuangan) Menggunakan Cobit 5

The Musi Banyuasin Regency Government has implemented an information system to support its business processes, one of which is the Regional Financial and Asset Management Agency (BPKAD). To carry out its function in managing regional finances and assets, BPKAD mostly utilizes the Regional Management Information System (SIMDA) which has been used for approximately five years, but has never been evaluated. For this reason, it is necessary to evaluate SIMDA information technology governance. In this study, the author uses a qualitative approach using the Process Assessment Model (PAM) consisting of indicators on process performance and process capability COBIT 5: A Business Framework for the Governance and Management of Enterprise IT which is the material research standards to process primary data and secondary data. The result of the research is that there is a staffing requirement evaluation process carried out by the BPKAD secretary by positioning it to the staffing sub-section in the form of ASN Requirements Formulation, Plan, Fulfillment and Proposal Forms. This study also revealed that there is a process in the backup log in the operation of Simda carried out by the ICT management section of the MUBA Regency BPKAD, the EDM04 process, EA01 Monitor, is at level 2, which means that the process already has good governance, such as being properly managed and controlled. and the APO07, BAI09 and DSS01 processes are at level 1, which means that the process has been carried out by the MUBA Regency BPKAD, the IT governance capability level at SIMDA BPKAD MUBA Regency is on average at level 1.
Corona 3 years, in the daily recovery stage Exploring student perceptions and educational challenges

Objectives This study aimed to obtain educational implications by collecting and analyzing data on the perceptions and demands of students in Daegu in July 2022, the educational recovery stage. Methods To this end, from July 7 to 21, 2022, through an online survey, elementary, middle and high school students in the Daegu area were surveyed for their perceptions and demands for school life. The contents of the survey were the degree and difficulty of daily education recovery, students' school life and changes, corona stress, information utilization level, positive and negative changes after COVID-19, school life adaptation and positive psychological capital. The collected data were analyzed and described using Spss 26. Results Students recognized that field experiential learning and physical activities were effective as methods of psychological emotional and social recovery. Recognition of daily school life was average, but trust in others and the country was below average. In addition, the contents they wanted to receive help from teachers were career path, help for higher education, and encouragement for learning. The need for community education and health education was greatly recognized. The higher the positive psychological capital, the higher the school life adaptability and overall satisfaction with school life. Efforts are needed to find out and utilize the positive characteristics of students in the educational recovery stage. Conclusions We looked at the meaning and direction of the educational recovery introduced in public education, and rethought many issues raised while experiencing the corona. Restoration of education does not mean a return to the past, but includes the meaning of reconstruction. Therefore, ‘forgetting’ was changed to ‘remember’ will, and ‘passive’ was changed to ‘active’ action, suggesting what the educational world should prepare for.
Question Trends and Item Analysis of the Secondary School Beauty Teacher Recruitment Test: Focusing on Beauty Pedagogy Part in 2014-2023

Objectives The purpose of this study is to identify the content changes and trends of the beauty pedagogy questions by analyzing the secondary school beauty teacher recruitment test items. Methods According to the Korea Institute for Curriculum and Evaluation(KICE), the secondary school beauty teacher recruitment tests from 2014 to 2023 had 30.5 questions in total for beauty pedagogy, including 7 questions in 2014, 4 in 2015, 4 in 2016, 5 in 2018, 5 in 2020, and 5.5 in 2023. This study analyzed them by year, evaluation areas and contents after verified by expert group, adopting an item analysis framework (beauty department curriculum, teaching⋅learning model, evaluation). Results First, the test has had a different rate of questions for beauty pedagogy, leaving a couple of years below the standard. Second, evaluation areas have been heavily weighted towards teaching⋅learning model, excluding the curriculum and evaluation occasionally. Third, most of the evaluation content consists of teaching⋅learning method application and evaluation method, which doesn't cover various content elements. Conclusions First, additional research should be conducted to develop the qualification standards, elaborate the evaluation areas, and evaluate the teaching performance for the indication subject,｢beauty｣, which has not been supplemented since 2008. Second, referring to the latest academic trends, we should set questions from diverse areas such as curriculum, teaching⋅learning model, and evaluation, and create a more intensive level of questions connecting pedagogy with content knowledge, relieving the overweight of beauty teaching⋅learning model part. Third, we demand follow-up research on content knowledge of beauty education, including pedagogy to help exam writers and prospective teachers to use them as a reference.
A Consensual Qualitative Study on Mentoring Experiences of Cyber University

Objectives The purpose of this study was to examine the experience and meaning of mentoring participation in cyber universities and to confirm the importance of mentoring. Methods For this, this study openly recruited people with experiences of participating in mentoring in A cyber university, and then selected total ten mentors and mentees as research participants. After conducting interviews through semi-structured questionnaire and open-ended questions, the collected data was analyzed in the consensual qualitative research(CQR) method developed by Hill et al.,(1997). In the rating team, three researchers repeated the process of consenting by exchanging opinions, and through this process, they made efforts to secure objectivity in data analysis and interpretation. Results The mentoring of cyber university was classified into four areas such as ‘motive for participation’, ‘participatory experience’, ‘result of participation’, and ‘development direction’. First, the necessity to get help for study or experience of getting help in the past was the motive for participation. Second, even though mentoring was helpful to themselves, they also felt like mentoring was not helpful, so they had both positive and negative experiences. Third, they were adapting themselves to school life by not only expanding their learning and school activities, but also maintaining the method of studying and interpersonal relationships with peers. Lastly, this study presented the development direction of mentoring by revealing the effectiveness and necessity of mentoring. Conclusions This study verified that mentoring played effective roles in adapting to cyber university and continuing study. Also, mentoring was not a unilateral relationship, but a mutually-helpful relationship. Thus, this study suggests the necessity of active promotion and support, and the establishment of the substantial system with a certain structure for the vitalization of mentoring.