Reviewerly/exHarmony huggingface dataset:
Fake Currency Identification Using CNN

The livelihood of the populace and the nation's economy are now seriously threatened by counterfeiting of money. Although there are fake cash detectors, and are only used in banks and corporate offices, leaving the general public and small companies at risk. In order to detect and invalidate fraudulent Indian currency,will develop a software-based system in this project using cutting-edge image processing and computer vision techniques. First,will analyse the many security characteristics of Indian currency. This currency authentication system was created entirely in the Jupyter Notebook environment using the Python programming language. With the help of a real-time photograph, our project will identify Indian banknotes. The history of our issue is the use of image processing technologies to check the legitimacy of money notes. The software analyses note properties to identify counterfeit money. Accuracy and speed are two metrics that can be used to assess this software's success rate. Keywords— Currency authentication, Replicating currencies
Sistem Pakar Diagnosa Penyakit Pada Ibu Hamil Menggunakan Metode Forward Chaining

AN EXPERT SYSTEM FOR DISEASE DIAGNOSIS PREGNANT WOMEN USING FORWARD CHAINING METHOD. Health is one of the important factors for pregnant women in conducting daily activities. However, some pregnant women do not care about their body condition so there are many complaints, causing a disease in pregnant women. Pregnant women can be affected by pregnancy, the disease can be known from the symptoms it causes, but to know precisely what diseases suffered by pregnant women, requiring an expert or specialist doctor Content. In this study designed a system of experts based on the website using a rule base with the method of forward chaining inference aimed at helping pregnant mothers in diagnosing early pregnancy disease. This expert system is able to diagnose the disease suffered by the pregnant mothers according to the question of the symptoms asked to be answered by the pregnant women, so that the system will provide diagnostic results, details on diseases and treatment The disease.
MS-PS: A Multi-Scale Network for Photometric Stereo With a New Comprehensive Training Dataset

The photometric stereo (PS) problem consists in reconstructing the 3D-surface of an object, thanks to a set of photographs taken under different lighting directions. In this paper, we propose a multi-scale architecture for PS which, combined with a newly designed dataset, yields state-of-the-art results. Our proposed architecture is flexible: it permits to consider a variable number of images as well as variable image size without loss of performance. In addition, we define a set of constraints to allow the generation of a relevant synthetic dataset to train convolutional neural networks for the PS problem. Our proposed dataset is much larger than pre-existing ones, and contains many objects with challenging materials having anisotropic reflectance (e.g. metals, glass). We show on publicly available benchmarks that the combination of both these contributions drastically improves the accuracy of the resulting estimated normal fields, in comparison with previous state-of-the-art methods.
LiDAR's role in autonomous driving

This chapter first introduces the concept of autonomous driving and its classification levels. Involved sensors including LiDAR and their comparisons are elaborated. Then, the history of autonomous driving from the perspective of DARPA Grand Challenge, including how LiDAR is involved, is introduced.
The Usage of the BP-Layers Stereo Matching Algorithm with the EBCA Camera Set

This paper is concerned with applying a stereo matching algorithm called BP-Layers to a set of many cameras. BP Layers is designed for obtaining disparity maps from stereo cameras. The algorithm takes advantage of convolutional natural networks. This paper presents using this algorithm with a set called Equal Baseline Camera Array. This set consists of up to five cameras with one central camera and other ones aground it. Such a set has similar advantages as a stereo camera. In particular this equipment is suitable for providing 3D vision for autonomous robots operating outdoors. The research presented in this paper shows the extent to which results of using BP Layers are improving because of using the EBCA set instead of a stereo camera.
Massively Parallel CPU-based Virtual View Synthesis with Atomic Z-test

In this paper we deal with the problem of real-time virtual view synthesis, which is crucial in practical immersive video systems. The majority of existing real-time view synthesizers described in literature require using dedicated hardware. In the proposed approach, the view synthesis algorithm is implemented on a CPU increasing its usability for users equipped with consumer devices such as personal computers or laptops. The novelty of the proposed algorithm is based on the atomic z-test function, which allows for parallelization of the depth reprojection step, what was not possible in previous works. The proposal was evaluated on a test set containing miscellaneous perspective and omnidirectional sequences, both in terms of quality and computational time. The results were compared to the state-of-the-art view synthesis algorithm – RVS.
The dynamics of students’ reflection development

The article deals the problem of higher education, which is marked by continuous modernization and innovation to the requirements of contemporary society, seeks solutions for the training/development of the subject quality of students as future professionals. Based on the conceptual analysis of the term „reflection”, the importance of reflexi-vity in ensuring student-centered higher education is argued. Empirical study of the dynamics of the development of reflexivity among students in the process of initial professional training in higher education highlighted the need to adapt reflective didactic technologies to the reflexive potential of students, which proved to be manifested differently during the years of study.
The alternative assessment approach to the discipline of physical education within the Moldova State University

The recent changes produced in society, generated by the transition from the industrial period to that of informati-on and communication technologies, led to essential changes in the teaching-learning-evaluation process at the level of the entire university educational system. These transformations directly influenced the discipline of physical edu-cation in higher education institutions, forcing the specialists in the field to search for new solutions that will contri-bute to increasing the effectiveness of the training process of the specific skills in the discipline in correlation with the professional/specialist ones. The design of the disciplinary curriculum for the discipline of Physical Education, a new flexible concept, which offers the student the opportunity to individually choose the form/how to practice activities for the training/development of specific skills, requires new approaches regarding assessment. The physical educati-on discipline assessment of students practicing physical education and sports activities individually or in sports asso-ciations, outside the USM (form/way of practicing motor activities provided by the disciplinary curriculum), must be oriented towards a multidimensional approach and carried out through alternative methods. This paper proposes an alternative assessment approach to the Physical Education discipline, by applying the portfolio method for students practicing independent sports tests, other than those offered by the USM, which can fully ensure the training of the specific skills of the discipline in other learning contexts.
Temporal Segmentation of Actions in Fencing Footwork Training

Automatic analysis of actions in sports training can provide useful feedback for athletes. Fencing is one of the sports disciplines in which the correct technique for performing actions is very important. For any practical application, temporal segmentation of movement in continuous training is crucial. In this work, we consider detecting and classifying actions in a sequence of fencing footwork exercises. We apply pose estimation to RGB videos and then we perform per-frame motion classification, using both classical machine learning and deep learning methods. Using sequences of frames with the same class we find data segments with specific actions. For evaluation, we provide extended manual labels for a fencing footwork dataset previously used in other works. Results indicate that the proposed methods are effective at detecting four footwork actions, obtaining 0.98 F1 score for recognition of action segments and 0.92 F1 score for per-frame classification. In the evaluation of our approach, we provide also a comparison with other data modalities, including depth-based pose estimation and inertial signals. Finally, we include an example of qualitative analysis of the performance of detected actions, to show how this approach can be used for training support.
Capturing geometric structure change through deformation aware correlation

Capturing the inner structure change of the target is crucial for a siamese tracker confronted with severe deformation or occlusion. The conventional siamese tracker utilizes a strict grid-to-grid correlation to pass the template information towards the current candidate, which may suffer severe mismatch compared to the initial frame caused by undesirable conditions such as rotation and deformation. Thus such mismatch would lead to insufficient information passed from the template and eventually end with a poor performance in classification and regression branches. The inherent CNN structure with the restricted grid-to-grid matching mechanism during correlation is not able to capture the corresponding change of the target structure. Motivated by DCNv2, we propose a novel deformation aware correlation to replace the widely-used depthwise-correlation. An offset-prediction module is proposed based on the similarity matrix to compensate for the mismatch of the grid assignment between template and candidate. Then we utilize an importance bilinear sampling algorithm to assess the similarity of the matching pair, alleviating the occlusion drift problem. Finally, a modulated deformable correlation is fed into the aforementioned input and realizes a better information modulation. We replace the correlation operator on SiamRPN++ with our deformation aware correlation operator and obtain our tracker, SiamDAC. Massive experiments on OTB100, UAV123, VOT2019, LaSOT and DTB70 validate the effectiveness of our proposed operator, especially confronted with severe deformation or occlusion.
Questionable stepwise explanations for a robust additive preference model

In this paper, we study Multiple Criteria Decision Aiding (MCDA) problems modeled using an additive value function. We consider an epistemic framework in which the preferences of the decision-maker are imprecisely specified, yielding a robust additive preference model. In this context, we are interested in explaining recommendations derived from such robust model using a transitive sequence of preference swaps. Previous work laid the foundations for explaining the necessary preference relation through a sequence of necessary preference swaps. We extend this to take into account non-necessary preference, yielding to so-called “questionable explanations”: a chain of alternatives which is non-increasing w.r.t. preference of the decision-maker. This approach provides additional descriptive power for explaining robust recommendations. We propose an efficient resolution engine based on Mixed-Integer Linear Programs, and we conduct numerical experiments to assess the benefit of our explanation strategy.
Smart Production Planning Model for T-Shirt Products at Raensa Convection

The increasing stock condition of cotton combed 30s t-shirts causes Convection to require optimal production planning, influenced by demand, safety stock, and selling price. The analysis of forecasting demand for t-shirts obtained a need for 217 t-shirts using the Multiplicative Decomposition forecasting method with MAD = 22.47 and MAPE = 0.17. Based on demand data for 1 year, the Safety Stock that must be maintained is 126 shirts/month or 3 shirts/week. The optimal production defuzzification results are 369 t-shirts with 81 fuzzy rules used. The Master Production Planning (MPS) directs the production schedule to be carried out in January, scheduled for the 4th week of December the previous year, as many as 123 shirts and ended on the third Sunday in January as many as 92 shirts to maintain stock conditions and meet the demand of consumer.
Comparative Study of The Conventional Curing Machine with The Electric at Aluna Masaran Batik Manufacturer Industry

The batik industry is constantly increasing its production. During production, a curing machine is used to dry the batik after the printing/screening process. The main problem with conventional machines is their inability to produce maximum heat. Currently, they are used in most industries and generate uneven heat, with LPG gas as the main fuel. Therefore, this study aims to develop an electric curing machine as an alternative to overcome the challenges of the conventional type It was carried out using a sample of the experimental test site selected through a purposive sampling method, namely the Aluna Batik industry in Masaran, Sragen. The data were collected by observing the outcomes of mechanical engineering and analyzed using descriptive methods. The results showed that conventional curing provides an advantage in the speed of heat supply, while electric curing stabilizes heat requirements. This showed that the electric machine is more profitable for large and fast quantities production, while the conventional is ideal for daily production.
Development of Cloud-Based Data Integration for Non-Profit Organization System

Palang Merah Indonesia (PMI) noted that the stock of blood in Indonesia reached 87,238 bags as of June 14, 2022, where it should be estimated that Indonesia needs 5.1 million bags of blood every year. The conventional blood donor process procedure is one of the main reasons the younger generation does not intend to donate blood. A new system is needed to regulate the flow of the blood donation process so that it is faster and attracts the interest of young people to donate blood. This research resulted in a blood donation system in the form of a website application for each blood donor unit and a mobile application for users who are blood donors. The system was developed with the Agile method which makes it easy for researchers to adapt to the evolving needs of users. The system usability test is based on Nielsen's Criteria which includes 5 main aspects, including learnability, efficiency, memorability, errors and satisfaction. The results of the trial on the targeted respondents showed that almost all of them were interested in using and would routinely donate blood with the new system that had been built, because it was considered to simplify the blood donation procedure which was previously considered complicated. In addition, data between blood donor units can be well integrated with the system that has been built. In the end, this research has the main goal of changing people's habits, especially young people to continue to regularly donate blood, not only is it good for health, but also can help others in need.
Development of Learning Media Based on Car Racing Games In Mandarin Subjects For Class X Pangudi Luhur Don Bosko High School Semarang

By promoting fun and exciting learning, researchers develop a product that can be used in the teaching and learning process with a view to increasing the learning motivation of all students in learning and assisting eduacators in making it easier for an educator to deliver lessons. The purpose of this study is 1) to describe the result of the analysis of the needs of students and teacher on the development of car racing game media in Mandarin class in X class at Pangudi Luhur Don Bosko high school 2) to describe the prototype of the development of car racing game media in X class at Pangudi Luhur Don Bosko high school 3) to describe the result of expert validation on the development of car racing game media in X class at Pangudi Luhur Don Bosko high school developed by researchers. The study uses research and development methods with five stages, namely 1. Potential problems, 2. Data collection, 3. Product design, 4. Product validation, 5. Product revision. From the results of the analysis of interviews with subject teachers and analysis of needs questionnaires student agree with development of game- based learning media that are creative, effective and fun. The validation result show that the car racing game-based learning media gets an average score of 87 from media expert and 87,5 from material expert, both of which show a score of 4 which means the media is very feasible to use. The media is then corrected according to suggestions and input from expert.
Village Library Empowerment in an Effort to Increase Reading Interest in Children in Aman Damai Village, Sirapit District Langkat Regency

The low interest in children to read books is a problem that must be overcome by village apparatus in Aman Damai Village of Sirapit District. In addition, the management of the library is still very simple so that it is not able to attract the community, especially children to come, besides the lack of facilities and infrastructure. The purpose of providing solutions offered is to improve the administration and management system of village libraries in an effort to increase reading interest in children. This community service is addressed to the village apparatus as library manager and children. Methods used in achieving these goals include socialization to children and parents about the importance of reading interest in children and training in improving village apparatus skills in managing village libraries, providing books of various types such as textbooks to comic books for children. This community service is also done to train village apparatus in managing library through the provision of codes and numbers on books, drafting, to the lending system that can be done by children. The conclusion of this community service is that nowadays children visit the library more often because the available books can attract children’s interest to read. Moreover, the management and administration of library has become more organized than before.
Utilization of the Integrated School Information System to Optimize the Quality of Financial Management and Implementation of Education at SMK Harum Sentosa Perbaungan Serdang Bedagai

The problems that exist in the partner environment are financial data collection, especially payroll, and the school fee payment system is done manually so that income and expenditure discrepancies often occur. Furthermore, data collection for setting school operational costs is still done manually making it difficult when reporting the BOS budget (school operational assistance), teacher and student attendance systems are ineffective, management system data collection, inventory is still manual so it is not known what inventory items are owned, data collection Unstructured Library Books. The use of information technology that has not been integrated into the learning process. The solution to the problems to be handled is the use of an integrated school information system. Implementation methods used to overcome the problems encountered include; observation, identification of partner problems, solutions to partner problems consisting of: (1) Observation of partners (2) Introduction of integrated school information systems. (3) Assistance in the use of an integrated school information system for the school management team. (4) Training and mentoring for teachers to use teaching material features, E-Absence and Smart Library (5) Evaluation in each implementation of the service program, as well as the outcome targets for service. The results of this Community Service Activity were an increase marked by Based on pre -the test given before the delivery of the material and the post-test carried out by the participants after receiving the material exposure and training found that there was a significant change from the pre-test score with an average value of 1 and 2, namely enough and less to an average value of 3 and 4 with good and very good weight scores when doing the post-test. This shows that the teachers and the management team who participated in the training understood the material presented.
Improving the Quality of Life by Utilizing Social Media as a Media for Marketing Activity Therapy Product of Breast Cancer Survivor in Medan City

Breast cancer survivors have a desire to remain productive in helping the family's economic function. As housewives, breast cancer survivors have free time that can be used to earn income. Moreover, at this time, easy access to information through social media is one way to market their handicraft products. However, this is still not the main focus of the group. Considering that the average age has passed the age of 50, their ability to use social media is still very lacking. Whereas with survivors having positive activities, they are expected to increase their motivation and quality of life. The purpose of this community service is to improve the quality of life of survivors by preparing breast cancer survivors to be able to independently produce handicrafts and market them digitally through social media. Activities carried out using training and mentoring methods in using social media as an effective marketing medium. After providing assistance in uploading handicrafts to social media by using services to expand their reach, the interest of buyers began to increase and the sales of handicrafts began to increase.
Knowledge Level of Emergency for Students at Senior High School Al-Azhar Asy Syarif Islamic Boarding School Deli Serdang

Background: Emergency means life threatening, while emergency is the need to get immediate treatment or action to eliminate the threat to the victim's life. Emergency is a condition when patient's clinical condition requires immediate medical action to save lives and prevent disability. In handling emergency cases, taking the right action for help must be carried out quickly, precisely, and calmly. This study is a cross sectional study. Data was collected in the form of a questionnaire. Questionnaires were collected twice, first the pretest which was carried out before the instructor gave the emergency material and the posttest which was carried out after the emergency material was given. The results show that in general, the posttest results show a shift to a higher score than the pretest results. Conclusion The level of knowledge of students at MA Al-Azhar Asy Syarif Islamic Boarding School Deli Serdang regarding emergencies, is categorized as Good.