Reviewerly/exHarmony huggingface dataset:
Research on Object Detection in Animal Images Based on Convolutional Neural Networks

Abstract Object detection is the use of computer to find out all the objects of interest in the image, determine their categories and locations, is one of the core problems in the field of computer vision. Traditional animal image target detection usually adopts the sliding window method, but due to the different sizes of the input images, this method has some problems such as insufficient training samples, low detection accuracy and slow speed. In order to solve such problems, based on the development of deep learning in recent years, this paper proposes an object detection algorithm based on convolutional neural network. YOLOv5 was used to effectively distinguish, identify and mark animal categories, which accelerated the training of the model and greatly improved the accuracy of target detection. Through the analysis of experimental data, it was concluded that the algorithm studied in this paper had good performance and good target detection results. Finally, the key problems of object detection research are summarized, and the future development trend of this field is prospected. When the number of training rounds is 30, the accuracy rate has reached about 70%, and after 50 rounds of training, some accuracy can reach 90%, which is excellent and better than other traditional algorithms.
Research on Multi-Person Pose Estimation Technology

Abstract Human pose estimation is a hot topic of computer research in recent years, which promotes the progress of society and brings many conveniences to people’s lives. Fom traditional methods to the mainstream deep learning-based methods, the primary approach in deep learning involves the use of convolutional neural networks to reduce computational complexity and improve network accuracy, but because the network structure is too deep to improve the accuracy, the trained model parameters are also very large, and it is very dependent on the input of hardware equipment. At this time, the lightweight human pose estimation can solve this problem very well. This paper mainly describes the knowledge of convolutional neural network in detail and compares it with traditional image algorithms. The OpenPose model is a classic model based on convolutional neural network that can well achieve single-person and multi-person human pose estimation model, but because the convolution kernel in its network structure is too large to increase the amount of calculation, this paper proposes three improvements to the network structure of the conventional OpenPose model. Finally, the precision of the model is improved by about 40%, which verifies the feasibility of lightweight human body posture estimation research.
Optimization of Personnel Management in Banks and Capacity Building Based on Foreign Experience

This article deals with the management of banks and their capacity building on the basis of foreign experience, further optimization of the industry. Foreign experience in capacity building will also be considered.
Object Localization Algorithm Based on Meta-Reinforcement Learning

Abstract When the target localization algorithm based on reinforcement learning is trained on few-sample data sets, the accuracy of target localization is low due to the low degree of fitting. Therefore, on the basis of deep reinforcement learning target localization algorithm, this paper proposes a target localization algorithm based on meta-reinforcement learning. Firstly, during the initial training of the model, the meta-parameters were classified and stored according to the similarity of the training tasks. Then, for the new target location task, the task feature extraction was carried out and the meta parameters with the highest similarity were matched as the initial parameters of the model training. The model dynamically updated the meta parameter pool to ensure that the optimal meta parameters of multiple different types of features were saved in the meta parameter pool, so as to improve the generalization ability and recognition accuracy of multiple types of target location tasks. Experimental results show that in a variety of single target localization tasks, compared with the original reinforcement learning target localization algorithm, under the same data set size, the model converges under a small number of training steps with the meta-parameters in the matching meta-parameter pool as the initial training parameters. Moreover, the training speed of the meta-reinforcement learning method based on MAML-RL is increased by 28.2% for random initial parameters, and that of the meta-reinforcement learning method based on this paper is increased by 34.9%, indicating that the proposed algorithm effectively improves the training speed, generalization performance and localization accuracy of object detection.
ERROR ANALYSIS ON THE USE OF CONDITIONAL SENTENCE TYPE 1 FOUND IN DAILY ASSESSMENT AT ELEVENTH-GRADE OF SMA N 1 BAE KUDUS ACADEMIC YEAR 2022/2023

An analysis is very important to know the students’ errors. Then the teacher can pay attention to the students’ errors. Therefore, the objectives of this research is to identify the error types which did by the eleventh-grade of SMA N 1 BAE KUDUS Academic Year 2022/2023 made in constructing conditional sentence type 1. The research employed the content analysis qualitative research. The subject of the research was the students of XI IPS 2 at SMAN 1 Bae Kudus Academic Year 2022/2023, while the sample were 36 students. In data collecting technique, the researcher used student daily assessment given by the English teacher. Then, the researcher analysed and classified the students error based on Surface Strategy Taxonomy by Dulay’s theory. They are omission, addition, missformation, and missorder. After analysing the data, the researcher found 166 incorrect items which made by the students in making conditional sentence type 1. The proportions (frequency and percentage) of the students error are omission 43 items or 25,9%, addition 74 items or 44,5%, missformation 39 items or 23,4%, and missorder 10 items or 6,2%. Therefore, the result from this research show that addition is the highest error was made by the students.Furthermore, we can conclude that the highest frequency types of error made by the students of XI IPS 2 at SMAN 1 Bae Kudus Academic Year 2022/2023 in writing conditional sentence type 1 found in their daily assessment is addition with the percentage 44,5% items of error.
ERROR ANALYSIS ON THE USE OF PREPOSITIONS IN STUDENTS’ WRITING OF THE TENTH GRADERS OF SMK N 2 KUDUS

The purpose of this study was to identify and classify types of errors in the use of prepositions in writing descriptive text by class X students of SMK Negeri 2 Kudus. Researchers analyzed errors using Dulay's theory, namely omission, addition, misformation, and misordering. Researchers used qualitative methods and documents for data collection. The document was in the form of descriptive text with different topics made by class X students of SMK Negeri 2 Kudus for the 2022/2023 academic year. Researchers took 5 students with a total of 15 texts. This research was conducted by performing an error analysis procedure. The first step was to collect samples from students to obtain information obtained through tests using prepositions of time, place, and direction on 5 students with a total of 15 texts. The second step was identifying the error. The third step explained the errors related to the forms of errors made by students. The next step was to describe the error and explain the cause of the error. The final stage was the evaluation of errors, where the errors made by students are evaluated. The results showed that the most errors were in misinformation with 19 errors and 86.4%. In the omission error, there was 1 error and 4.5%. The addition error was only 2 errors and 9.1%. And lastly, there were no errors made by students in Misordering.
History, provenance, detail

Just a quick note: I just love the level of detail Wikidata allows us to use. One of the marvels is the practices of named as, which can be used in statements for subject and objects. The notion and importance here is that things are referred to in different ways, and these properties allows us to link the interpretation with the source.
An Investigation of the Advantages and Disadvantages of University Students as Avatars in Virtual Learning Spaces

Authors have noted the increasing importance of avatars in Higher Education, as more teaching is conducted virtually, drawing upon gaming conventions. However, it is also recognised that little is known about how students make use of avatars (especially over an extended period) and the subsequent impact on learning experiences. For the last three years, a university module has been conducted within a persistent virtual world – where students (49 in 2020; 95 in 2021; 122 in 2022) predominantly interact with each other and teaching staff in avatar form. Observation data constitutes 60 hours of video recordings of virtual world seminars. Students have also been surveyed (average 40% response rate) and interviewed. The experience of learning on this module while in avatar form has been extremely positive, with students expressing many advantages to being an avatar – including the ability to express oneself in original/engaging ways, the ability to move freely in the environment (less restricted by social norms), increased confidence to speak up in class, reduced concern over actual physical appearance, and being praised for their avatar. Nevertheless, disadvantages were also apparent, including the distracting nature of certain avatars, inappropriate behaviours, usability challenges in designing an avatar, and lack of sense of self. An initial design framework for the use of avatars in Higher Education is proposed.
Mapping of real Gossan in oxidant deposits using multi-source images and deep learning

Gossans are the easiest and fastest way to explore subsurface resources and actually represent mineral zones on the earth's surface. Gossans that have important mineral resources such as copper and gold are called true gusans. The aim of this study was to identify true Gossans in small exploration areas. In this paper, an algorithm for deep convolutional cane crusts was designed. In the proposed algorithm, first preprocessions such as geometric and spectral correction and restoration, division of satellite images into smaller images and amplification of training data are performed to prepare RGB data to enter the chip. The proposed CNN cane has a encoder-decoder structure that in the coding stage different and efficient features are extracted at different scales and in the decoding stage the generated features are combined to estimate the Gossan regions. Then, the desired network was implemented for the images of the studied exploratory area called "Tal Bargah" located in Darab city and the Gossan areas of the region were extracted. For field evaluation of the obtained results, the results of the network and its location on the copper orthodontic interpolation map of the region and review of the integrated lithological results and the real gusans of the region with statistical accuracy of sensitivity parameters: 0.957, F1 score: 0.457, rock detection accuracy 92% and average Copper grade above 4% was detected in these areas.
The Role of AI in Supporting Indigenous Languages

This study aims to explore the role of AI in supporting indigenous languages, focusing on its impact, the challenges encountered, and the opportunities it presents for language revitalization efforts. Employing a qualitative research design, this study gathered data through semi-structured interviews with 25 participants, including indigenous language speakers, linguists, AI technologists, and cultural preservationists. Thematic analysis was used to identify and categorize the main themes and concepts arising from the interviews. Three main themes were identified: the Impact of AI on Language Preservation, Challenges, and Opportunities. AI was found to significantly support language learning tools, community engagement, accessibility, and content creation while raising ethical considerations. Challenges included technical barriers, cultural and social barriers, and financial and resource constraints. Opportunities for AI in language revitalization were identified in collaboration and partnership, innovation and adaptation, and technological advancements. AI holds substantial potential to support the preservation and revitalization of indigenous languages through tailored learning tools, enhanced accessibility, and community engagement. However, realizing this potential fully requires addressing the identified challenges through collaborative efforts, ethical considerations, and sustained investment in technological and community-based solutions.
Sosialisasi Situs Sejarah Rumah Tgk Chiek Awee Geutah sebagai Cagar Budaya dan Destinasi Wisata Religius Melalui Penyebaran Informasi Digital

The Tgk Chik Awee Geutah housing complex is very appropriate to be used as a cultural heritage site by the government to preserve Aceh's cultural heritage. In the complex of Tgk Chik Awee Geutah's house there is Tgk Chik Awee Geutah's grave, then there is also Balee Kalut which is south of Tgk Chik Awee Geutah's house. Balee Kalut is not far from the Tomb, Balee Kalut is a building in the form of an octagonal pyramid in the form of a stage. This place is a place of worship to Allah Almighty to cleanse all sins. Visitors/tourists who come apart from visiting Tgk Chik Awee Geutah's house also make pilgrimages to the tombs and some perform religious services. Therefore, this place can be used as a religious tourism destination. The current generation is considered less familiar with the local wisdom of their own region. The Cultural Heritage Site of Tgk Chik Awee Geutah's house needs to be preserved, one of which is by introducing this cultural heritage to the community and students, of course. By introducing the wisdom of Tgk Chik Awee Geutah's house, it is hoped that the current generation will know and know the identity of their ancestral heritage, by knowing and knowing them they will love the cultural heritage of their ancestors and then by loving it will protect and preserve this cultural heritage site. As for introducing this cultural heritage site using digitization, namely taking pictures and making videos of Tgk Chik Awee Geutah's house and also making learning videos that teachers can use later.
Virtual Reality-Based Learning Media Design Training

This activity aims to facilitate the design of learning media based on Virtual Reality (VR) for educators to be able to present innovative learning in the classroom. The method used in this mentoring activity consists of four stages: Asset Based Community Development called "ABCD". The mentoring training went smoothly even though only 44 participants out of 184 registered. After the participants participated in the mentoring activities, they could conclude that they already had the knowledge and understanding of the suitability of devices that could be used in VR. In addition, participants succeeded in making VR scenes according to the subjects taught in class and tried to implement them for students. Thus, the learning process carried out by participants can continue to experience novelty and innovation
Pelatihan Perancangan Instalasi Listrik Berbasis Autocad Guna Meningkatkan Keterampilan Siswa PSG di Masa Pandemi

Abstract— The COVID-19 pandemic has had an impact on all fields, one of which is education. The main impact in the field of education is that students have to study at home with a distance learning system. This does not reduce the emergence of companies as SMK partners in improving the skills of PSG students during the pandemic. One of the things that happened to the electrical installation contractor company, where the requirements for PSG students at the company was to have the competence to design building installations using Autocad at Canda Bhirawa Pare Vocational School, productive subjects of engineering drawing still use manual drawing systems. This is a problem for SMK because the training will not run with the existing learning system at SMK Canda Bhirawa, so with this assistance it is hoped that students' skills will increase and in accordance with the competencies desired by the company as a SMK partner. This service activity includes observation, analysis, training, monitoring and evaluation. The results of this service activity are based on observations of skill performance, namely using students' skills in drawing autocad electrical drawings.
Membangun Budaya 5R : Langkah Strategis Untuk Mendukung Perbaikan Terus Menerus di MTs Amdadiyah Kweden

The 5R method (Concise, Neat, Cool, Caring, Diligent) is a method that aims to maintain the cleanliness of the work area at all times, eliminating waste in moving goods and waste in searching for tools and materials. The 5R method can be integrated into various fields, such as: information technology, health, education, small and medium enterprises, to social organizations. The 5R culture is a technical step that aims to foster attitudes and behaviors, thus forming a culture of discipline on every front. The habit of practicing 5R also encourages continuous improvement in various fields. Madrasah Tsanawiyah (MTs) Amdadiyah Ngasem as one of the educational institutions every year always has new students so there is a lot of data that must be recapitulated and stored both in the form of softcopy and hardcopy. If it is not managed properly, archiving data will be a problem so that when the data is needed, it will take a long time to get it. The extracurricular activities fostered in this Madrasah are quite a lot, with a lot of extracurriculars, of course, there are many necessary equipment. The arrangement and maintenance of the equipment used must be considered so that the equipment is easy to find if needed and becomes more durable. Therefore, a system is needed that can be used to improve data archiving and equipment structuring and maintenance. The solution offered to solve existing problems is to implement a 5R culture. From the socialization, data was obtained that as many as 89% of respondents expressed interest in implementing 5R both in Madrasah and at home and there were only 11% who expressed interest in implementing 5R in Madrasah only. From the questionnaire provided, it is also known that 56% of respondents believe that 5R can be applied and there are 44% of respondents who state that 5R may be applicable in MTs Amdadiyah Kweden. The reasons for the 44% of respondents who stated that 5R might be workable were: lack of knowledge about 5R (38%), cost (38%), commitment of all elements of the school (24%).
Website Development and Training for Daf Tour Travel

The business world today is turning to the use of information technology to support e-business, especially the business-to-consumer type. Therefore, business actors are expected to be able to follow the development of the business world. Daftour is a business actor in the field of tourism (tour and travel) who has limited human resources in managing e-business technology information. To overcome these problems in this service activity the author provides a solution, namely the creation and training of the Tour Travel website management. The process of this activity includes needs analysis, content design, domain and hosting purchases, website installation and setting, and website management training. The result of this service activity is a travel tour website that can be used as a promotional media and initial communication with potential customers.
Workshop Penyusunan Perangkat Pembelajaran Berbasis Digital Untuk Pengoptimalan Pembelajaran Online pada Guru SMA Muhammadiyah Kota Kediri

Electronic/digital-based learning tools can be easily obtained by the presence of information technology devices. Through this information technology network, educators can use it in learning. Especially during the current covid-19 pandemic which requires learning to be carried out online (in a network). Teachers/educators need to improve their abilities and skills in making learning tools. The community service team at Universitas Nusantara PGRI Kediri, took the initiative to help teachers at SMA Muhammadiyah Kediri improve their skills through workshops. The workshop can be carried out according to plan and goes well. The mastery of the material and the results of the learning media are in the very good category. Evaluation of digital learning in online learning is more varied. This activity also received a good response, as evidenced by the questionnaire given by the service team, which was included in the very good category.
PkM Penerapan Teknologi Tepat Guna Berbasis Teknologi Terbarukan di Dusun Kweden Desa Karangrejo Kec. Ngasem

Electricity is one of the most important human needs today, as over time almost all inhabitants will need electricity in every aspect of their lives, from urban to rural areas. In Indonesia, people generally get power from PLN (State Electricity Company). The demand for electrical energy increasingly exceeds the availability of the electrical energy of PLN, so alternative energy is needed to make up for the shortage of electrical energy. As a tropical country, Indonesia has significant potential to use solar energy as electrical energy, because solar energy is a renewable energy that is cheap, simple and above all environmentally friendly and always available. &#x0D; In Kweden Hamlet, Karangrejo village, Ngasem district, Kediri Regency, there are 2 graves used by all residents of Kweden Hamlet. A special grave for certain families and a general grave generally used by the entire population of the hamlet of Kweden. In the hamlet of Kweden, it is customary for anyone who dies at any time of the day, noon, or even midnight to be buried immediately. Sufficient lighting is therefore needed in the grave area so that the burial process from grave digging to burial can be carried out as well as possible. &#x0D; Due to the limited number of light points, poor installation and sometimes delayed payment of electricity bills, the lighting in the burial space is not optimal. The lack of information about alternative electrical energy still makes the population of the hamlet of Kweden dependent on the electrical energy supplied by PLN. The solution offered to solve the problems in the hamlet of Kweden is to illuminate the tomb with solar panel lighting so that there is no monthly fee, and to educate the public that there is alternative electrical energy that uses renewable energy which is easy and cheap. Based on the area of ​​the grave, the number of required solar panel lamps is determined to be 24 lamps. Meanwhile, education in alternative electrical energy managed to change people's perception of it and saw a significant increase from where 82.61% of respondents previously said solar panels were expensive. Training showed that only 26.09% of respondents said solar panels are expensive.