Reviewerly/exHarmony huggingface dataset:
Gray Level Co-occurrence Matrix with Binary Robust Invariant Scalable Keypoints for Detecting Copy Move Forgeries

With advancement in technology, especially in imaging field, digital image forgery has increased a lot nowadays. In order to counter this problem, many forgery detection techniques have been developed from time to time. For rapid and accurate detection of forged image, a novel hybrid technique is used in this research work that implements Gray Level Co-occurrence Matrix (GLCM) along with Binary Robust Invariant Scalable Keypoints (BRISK). GLCM significantly extracts key attributes from an image efficiently which will help to increase the detection accuracy. BRISK is known to be one of the 3 fastest modes of detection which will increase the execution speed of GLCM. BRISK even processes scaled and rotated images. Then the Principal Component Analysis (PCA) algorithm is applied in the final phase of detection will remove any unrequited element from the scene and highlights the concerned forged area.
Assessment of Grey Wolf Optimizer and Its Variants on Benchmark Functions

One of the most current metaheuristic swarm intelligence algorithms is the Grey Wolf Optimizer (GWO). Since the number of parameters is small and there is no need for information during the first search, GWO has been adapted to different optimization problems, giving it superiority over other metaheuristic methods. At the same time, it is easy to use, simple, scalable, and adaptable, with its unique ability to provide the ideal balance throughout the search, leading to positive convergence. As a result, the GWO has lately attracted a large research audience from a variety of areas in a very short amount of time. However, it has some disadvantages, such as a slow convergence rate, low sensitivity, and so on, which are seen in the vast majority of metaheuristic methods. Various versions of the current GWO have been proposed to eliminate them. In this article, GWO, improved GWO (IGWO), and augmented GWO (AGWO) methods are examined, and the performances of these methods are discussed in CEC’20 functions and analyzed statistically. The results of the studies demonstrated that IGWO outperformed standard GWO and AGWO.
Improved A-star Algorithm for Mobile Robot Path Planning Based on Sixteen-direction Search

An A-star algorithm is realized by changing the dynamic weights of heuristic functions when path planning in sixteen search directions, improving the problems present in traditional A-star algorithm at some aspects. Firstly, the search direction of the mobile robot is increased and changed from the ordinal eight-direction search to sixteen-direction search against long planning path. Secondly, the dynamic weight adjustment method is given to adjust the weight coefficients of the estimated cost h(n) in the A-star algorithm in real time to address redundant search nodes. Finally, the path is optimized using the turn-angle strategy aim for fewer turning times. Simulation experiments are carried out by MATLAB under a given map and regular maps. The experimental results show that the A-star algorithm studied in this paper has fewer search nodes, higher planning efficiency, shorter path length and fewer turns compared with the traditional A-star algorithm, which verifies the feasibility of the above algorithm.
CBTC on-board signal fault diagnosis method based on LightGBM classification

Aiming at the problem that the semantics of CBTC on-board equipment fault record text is not precise and the word redundancy, which makes it difficult to trace the cause of the fault, this paper proposes a CBTC on-board signal fault diagnosis method based on LightGBM classification. Firstly, the relationship between appearance and fault is analyzed by combining the knowledge graph search formed by manually combing the text; then, TF-IDF is used to extract the original text features, and Doc2vec is used to realize text vectorization. The actual fault text records are divided into training sets and testing sets. The LightGBM classifier is trained to obtain the classification and diagnosis model, and 1133 testing sets are tested and verified. The results show that the accuracy of classification diagnosis of the method proposed in this paper is 90.2%, which is 17.8% higher than that of SVM classification diagnosis and conforms to the manual graph fault analysis link.
Multi-Object Tracking Method for Aerial Images Based on ReID-Byte

Aiming at the problems of ID Switch and track fragment caused by the ground target occlusion in aerial video tracking, a multi-object tracking(MOT) method based on ReID-Byte is proposed. This method introduces the ReID model on the basis of the Byte algorithm to extract the appearance feature of the targets. This paper uses the multi-task learning method to train the YOLOX detector and the ReID model, and the detection confidence is used as the measure to separate the detection results to the high-scoring boxes and the low-scoring boxes for inter-frame target association processing. The appearance-motion model is used to match the trajectory with the high-scoring targets, and the motion model is used to match the trajectory with the low-scoring targets. The test results of the UAV aerial dataset show that the method proposed in this paper improves the tracking accuracy and can effectively handle the ID Switch and track fragment problems caused by the target occlusion.
Underwater Image Enhancement Algorithm Based on Color Compensation and Adaptive Luminance

Aiming at the problems of shallow marine aqua-culture fish images collected by underwater robot such as color distortion, low contrast, and low illumination, this paper proposes an underwater image enhancement algorithm based on color compensation and adaptive luminance. Firstly, according to the attenuation characteristics of RGB color channels, proposes an color compensation algorithm based on color channel attenuation compensation, compensate for the two color channels which have the most severe attenuation to improve the color distortion problem of the images. Secondly, filter the noise generated by the image after color compensation by using a non-local mean denoising method (NL-means). Then, transform the image from RGB color space to HSV color space. In the HSV color space, a global adaptive luminance enhancement method is designed to improve the luminance of the V component and adaptively adjust saturation of the S component. Finally, transform the image from HSV color space to RGB color space to obtain the final enhanced image.The experiment shows that the images enhanced by using this algorithm have natural colors, carry more image information and have good visual effects, which are superior to other comparison algorithms.
A Study on the Optimization Strategy of Information Literacy Education in University Libraries in China

In the era of information explosion, information literacy is particularly important for everyone.The most important educational responsibility of colleges and universities is to cultivate comprehensive applied talents for the society, and the university library is the main position for colleges and universities to cultivate students' information literacy.This paper studies the importance of improving college students' information literacy in the information age, the problems existing in university information literacy education, and the optimization strategy of information literacy education in university library.
Practical Tracking System of Intelligent Workshop Product Based on Wireless Sensor Network

As one of the traditional theories of traditional Chinese medicine, the theory of collaterals has a significant effect in the treatment of cardiovascular diseases.According to the initial link of atherosclerosis --vascular endothelial damage, guided by the theory of collaterals disease, from the two perspectives of the vein vacuity and vein obstruction, Buyang Huanwu Decoction of tonifying Qi and promoting blood circulation and collaterals and Gualsankyx Baibanxia Decoction of eliminating phlegm and removing blood stasis and collaterals and Xuefuzhuyu Decoction are respectively given.Based on the past experimental demonstration, this paper aims to provide new ideas for clinical diagnosis and treatment.
Clients' Feedback on the Level of Service and Satisfaction at the Collection Division, The Bureau of Internal Revenue,

The study's primary objective is to ascertain how customers feel about the quality of service or level of satisfaction while they work with a government agency, especially at the Collection Division of the Bureau of Internal Revenue, Revenue Region No. 10, Legazpi City. When Bureau implemented the online survey in 2022, data from 218 respondents were retrieved using frequency counting and percent, weighted mean, standard deviation, Mann-Whitney U test, Kruskal-Wallis test, and Spearman Rank-Order Correlation from the online survey. The findings showed that there are no appreciable differences across the respondents' demographic profiles when it comes to customer happiness and service quality. Yet it demonstrates a strong connection between service quality and client satisfaction. The study allows top management to get suggestions on improving public service delivery and a reward and incentive scheme.
Growth Chemy KAlTer: Android based educational game on alcohol, ether, and carbonyl compound concepts

This study aims to describe the appearance of an android-based educational game on the concept of alcohol, ether, and carbonyl compounds named Growth Chemy KAlTer, as well as analyze the results of validation and media feasibility tests. Research and Development (R&D) research method with ADDIE design through the stages of Analysis, Design, Development, Implementation, and Evaluations. This research was carried out until the development stage. The game display Growth Chemy KAlTer has four-game determinations, regarding functional groups, nomenclature, reactions, and synthesis, as well as the application of alcohol, ether, and carbonyl compounds in life. Media Growth Chemy KAlTer not only presents questions but also includes answer keys and discussion of questions as well as brief theories and dialogues to build user understanding. Users will get stars and pop-ups according to the score they get and can see the progress of their understanding of alcohol, ether, and carbonyl compounds. The validation test results obtained an average rcount of 0.8726 and a feasibility test result of 83.13%, indicating that the Growth Chemy KAlTer media has the potential to support the learning process of alcohol, ether, and carbonyl compounds in the classroom.
Wavelet Approach to Estimate The solution for Two Points Boundary Value Problems

In this paper, a new algorithm based on using Chebyshev waveletoperational matrix of integration instead of operational matrix of derivativeto find the approximate solution of two points boundary value problem.Wavelet first Chebyshev with aid of collocation method employed totransform the differential equation with its boundary condition to a systemof linear algebraic equations. A very high level of accuracy explicitlyreflected by the proposed examples.
QoE-oriented Mobile Virtual Reality Game in Distributed Edge Networks

Mobile edge computing is a promising framework for mobile virtual reality (VR) game. Although there are several existing studies on the edge assisted mobile VR game system, they lack the consideration of provisioning services with satisfactory QoE to a large number of users. In this paper, we consider the problem of providing QoE-oriented edge assisted mobile VR game as a service to multiple users, with a comprehensive QoE concern of both visual and delay aspects. Due to the unique features of mobile VR game, the problem is formulated into a Mixed Integer Quadratically Constrained Quadratic Programming (MIQCQP) problem. We show that the problem is NP-hard with object placement decision and rendering level selection decision quadratically coupling together. To solve this problem, we propose the Alternating Directions Method of Multipliers (ADMM) algorithm which can iteratively decouple the quadratic terms and reform the problem into the efficiently solvable MIQCQP-1 (i.e., MIQCQP with one constraint) problem. Trace driven simulation shows that our algorithm fits the edge assisted mobile VR game scenario well with fast computation time (at least 4 orders of magnitude less computation time compared to Gurobi solver) and good performance (at least 18% of user visual QoE improvement compared to other mobile VR scheme).
Development of Key Competences in Geometry Lessons Using Life Tasks

The formation of key and subject competencies of students is not limited to the acquisition of a new one. Competences in subjects are formed when the students' own idea is manifested, new tasks are set, and they are independently solved with the help of acquired knowledge. The article deals with the tasks of forming key and subject competencies of students in geometry lessons using life tasks. The sources of compiling life tasks and examples of tasks with life content on the basis of terms known to students are considered. In order to fulfill the requirements of the state educational and subject standard "mathematics" of the general education school of the Kyrgyz Republic, the article deals with the formation of key competencies of secondary school students in the educational process based on a personal competence-oriented approach in the secondary education system. In this direction, when teaching mathematics and geometry in secondary school, students are invited to independently compose life tasks, in relation to the seed productivity of agricultural fields, including local conditions in accordance with life situations, and tasks that arise in everyday life and in various directions. And also, in the article it is noted that these types of tasks are important in the formation of key competencies specified in the goals and objectives of the national standard in training on a competency-based basis. In the process of teaching mathematics and geometry in a general education school, a connection with other subjects was noted, and the similarity of the corresponding formulas was given.
Quantum Algorithms for Eigenvalue Problems

The problem of finding the smallest eigenvalue of a Hermitian matrix (also called the ground state energy) has wide applications in quantum physics. In this talk, I will first briefly introduce the mathematical setup of quantum algorithms, and discuss how to use textbook quantum algorithms to tackle this problem. I will then introduce a new quantum algorithm that can significantly and provably reduce the circuit depth for solving this problem (the reduction can be around two orders of magnitude). This algorithm reduces the requirement on the maximal coherent time for the quantum computer, and can therefore be suitable for early fault-tolerant quantum devices. No prior knowledge on quantum algorithms is necessary for understanding most parts of the talk. (Joint work with Zhiyan Ding).
Exploring Ways to Foster a Sence of School Community in the Distance Education

이 연구에서는 초･중등학교 원격교육에서 학생들이 학교공동체의식을 함양할 수 있는 교수학습방안 및 제도적 개선방안을 탐색하였다. 원격교육에서 학생들은 교사, 학생, 학습내용으로 구성된 학습공동체 안에서 상호작용을 통해 학습경험을 형성하고 학교공동체와 연결될 수 있다. 원격교육에서 학교공동체 의식을 함양하기 위해서는 대면수업 환경보다 적극적인 교육적 접근이 요구된다. 첫째, 구성원의식을 함양하기 위한 커뮤니티 형성이 필요하다. 커뮤니티를 기반으로 학생들은 학습자 상호 간 협력적 상호작용을 강화하여 내적 학습 동기를 형성하고, 학교공동체에 소속되어 있음을 느낄 수 있다. 둘째, 학생들의 협력적 참여를 촉진하는 교수학습법의 적용이 요구된다. 학생들이 학교공동체를 경험하고 상호영향을 주고받으며 상호 간의 관계성을 경험할 수 있도록 커뮤니티를 기반으로 개별 학생들의 동등한 참여기회 보장, 학습 과정과 결과를 협력적으로 성찰할 수 있는 수업 설계, 성취 수준을 자율적으로 점검할 수 있는 루브릭 제시 등이 요구된다. 셋째, 교사와 학생의 역할 재정립이 필요하며 학생은 학습 과정에서 의사결정의 주체가 되어야 하고, 교사는 이 과정에서 학습자의 선택과 실행을 신뢰하고 촉진해주며 지지하는 지원자가 되어야 한다. 제도적 개선방안으로는 ｢원격교육법｣의 정의 규정 개선을 제안하였다. 원격교육 환경에서 학생들이 실질적으로 참여하고 협력적으로 학습을 지속할 수 있도록 원격교육은 교사와 학생 간 그리고 동료 학생 상호 간 상호작용을 촉진하기 위한 교육이 되어야 한다는 관점이 정의 규정에 명시되어야 할 것이다.In this study, teaching and learning measures and institutional improvement measures were explored in which students can cultivate a sense of school community in distance education in elementary and secondary schools. In distance education, students can form learning experiences and be connected to the school community through interaction within a learning community composed of teachers, students, and learning contents. In order to cultivate a sense of school community in distance education, an active educational approach is required rather than a face-to-face class environment. First, it is necessary to form a community to foster a sense of membership. Based on the community, students can strengthen cooperative interactions between learners to form internal learning motivation and feel that they belong to the school community. Second, the application of the teaching and learning method that promotes the cooperative participation of students is required. In order for students to experience the school community, interact with each other, and experience relationships, it is required to ensure equal opportunities for individual student based on the community, design classes that can collaboratively reflect on the learning process and results, and present rubric that can autonomously check achievement levels. Third, it is necessary to redefine the roles of teachers and students, and students should be the subject of decision-making in the learning process, and teachers should be volunteers who trust, promote, and support learners' choices and execution in this process. As an institutional improvement plan, it was suggested that the definition of the ｢Distance Education Act｣ needs to be improved, with the view that distance education should be an education to promote interaction between teachers, students, and fellow students so that students can participate and continue learning cooperatively in a remote education environment.
Logic of Artistic Construction and Operation of Subjects Based on the Art Theory of Steiner and Dewey

본 연구는 슈타이너의 ‘교육예술’과 듀이 ‘예술론’에 기초한 교과의 예술적 구성과 학습활동의 실천적 사례를 제시하는 것을 목적으로 하였다. 교육현장에서 예술적 요소를 가장 손쉽게 경험 할 수 있는 방법, 즉 질성이 본질인 예술작품으로 교과 내용을 구성하고 예술가가 작품을 제작하는 전 과정에서의 경험을 교육활동에서도 경험되기를 희망하며, 문헌연구와 실행연구로 진행하였다. 그 결과 첫째 교과의 예술적 구성은 연관성, 객관성, 효율성에 준거하여 예술작품을 선정하고 이를 문학장르로 재구성하여 텍스트화 하였다. 둘째, 문학 형식으로 재구성된 교육내용을 스토리텔링으로 진행하였으며, 이 과정에서의 몰입 체험은 흥미 유발과 학습 동기 부여의 근거가 되었다. 셋째, 스토리텔링으로 진행되는 수업 과정에서의 학습자들의 감상과 평가는 새로운 교육적 의미와 가치의 창출로 이어지는 창조된 교육적 경험이었다. 이러한 모든 과정은 수업의 질개선을 위한 교사의 확고한 신념과 부단한 노력이 전제될 때 가능함을 깨닫게 된 성찰의 시간이었다.The purpose of this study is to present the logic of artistic construction of subjects and practical examples of learning activities based on Steiner's 'Erziehungskunst' and Dewey's 'Art Theory', focusing on subjects. The content of the curriculum is composed of works of art whose quality is the essence, that is, the most convenient way to experience artistic elements in the field of education. Literature research and action research were conducted in the hope that the artist's experience in the entire process of producing works can be experienced in educational activities. As a result, the artistic composition of the first subject was based on relevance, objectivity, and efficiency, and the artwork was selected and reconstructed into a literary genre and converted into text. Second, the educational content reconstructed in the form of literature was conducted through storytelling, and it was found that the immersion experience in this process was the basis for inducing interest and motivating learning. Third, learners' appreciation and evaluation in the course of storytelling were created educational experiences that led to the creation of new educational meanings and values. All of these processes were a time of reflection that realized that it was possible when the teacher's firm belief and constant efforts to improve the quality of classes were premised.
Öğretmen Adaylarının Dijital Ortamda Yazmaya İlişkin Tutumlarının ve Görüşlerinin Değerlendirilmesi

Digital writing has become an important part of the daily life of not only the new generation, but also individuals of all ages. Digital writing, which has become a great need for the new generation, is a special issue that concerns pre-service teacher candidates and even takes place in their lives. The purpose of this research is to evaluate the attitudes of pre-service teachers towards writing in the digital environment in terms of different variables and to determine their views. Mixed method was used in the study. The research was carried out in a university in the Aegean Region in the spring semester of the 2021-2022 academic year (n= 264). The participants consisted of pre-service teachers studying in preschool education teaching (n=161) and classroom education undergraduate programs (n=103). In order to obtain qualitative data, interviews were conducted with 12 volunteering students. The Attitude Scale Towards Writing in Digital Environment (DOYAT), developed by Susar Kırmızı, Kapıkıran, and Akkaya (2021), was used to obtain quantitative data. The "open-ended question questionnaire" developed by the researchers was used to obtain qualitative data. Quantitative data obtained were subjected to t-test and analysis of variance using statistical package program. Content analysis was used for the data obtained with the open-ended question form. The attitudes of pre-service teachers participating in the research towards digital writing did not show a significant difference according to gender, class level, and having their own computer. However, it was determined that there was a statistically significant difference according to the time allocated to digital writing. The pre-service teachers who participated in the research stated that they prefer digital writing because it is useful and economical. However, they also stated that writing in digital environment for a long time causes physical health problems.
Monitoring Application Complaints of Internet Service Provider Interference Using Waterfall Method (Case Studies: Indihome Pasar Baru Tangerang)

The impact of information systems and technology on various industries, including internet services like Indihome, is substantial. However, providing seamless access to Indihome internet services remains a challenge for PT Telkom Akses, particularly at their Pasar Baru Tangerang branch. One of the issues faced by staff members when handling complaints from internet service users is the lack of integration between the manual data management system and Telegram, which could automate operations and streamline the process of distributing trouble tickets. The current process for distributing trouble tickets is also inefficient, relying on manual copying and pasting. To address these issues, the application was developed using the PHP programming language, Codeigniter Framework, and MySQL, and the Waterfall method was employed in the design process. The application includes features such as Add Data Datin, Add Data Non Datin, Close Data Datin, Close Data Non Datin, and Telegram bots to facilitate complaint monitoring and ticket distribution.