Reviewerly/exHarmony huggingface dataset:
Augmenting Legacy Networks for Flexible Inference

Once deployed in the field, Deep Neural Networks (DNNs) run on devices with widely different compute capabilities and whose computational load varies over time. Dynamic network architectures are one of the existing techniques developed to handle the varying computational load in real-time deployments. Here we introduce LeAF (Legacy Augmentation for Flexible inference), a novel paradigm to augment the key-phases of a pre-trained DNN with alternative, trainable, shallow phases that can be executed in place of the original ones. At run time, LeAF allows changing the network architecture without any computational overhead, to effectively handle different loads. LeAF-ResNet50 has a storage overhead of less than 14% with respect to the legacy DNN; its accuracy varies from the original accuracy of 76.1% to 64.8% while requiring 4 to 0.68 GFLOPs, in line with state-of-the-art results obtained with non-legacy and less flexible methods. We examine how LeAF's dynamic routing strategy impacts the accuracy and the use of the available computational resources as a function of the compute capability and load of the device, with particular attention to the case of an unpredictable batch size. We show that the optimal configurations for a given network can indeed vary based on the system metrics (such as latency or FLOPs), batch size and compute capability of the machine.
A Study on the Community Response of Sexual Behavior Problems in Children

A six-year-old girl was sexually assaulted by a fellow classmate at a daycare center multiple times in Seongnam, Gyeonggi Province in 2020. The issue was brought to light after the victim’s mother posted petitions on the Cheong WaDae website calling for better protection and punishment of the perpetrators. Sexual violence has taken placed in daycare centers and this issue should be dealt with properly by authorities. The study conducted perception surveys on children’s sexual behavior problems in daycare center in Area C, Chungnam Province, identified teachers’ needs and perception, and suggested the effective guidelines and protection against the problems. The surveys consisted of the questions which identified the realities, perception of children’s sexual behavior problems and what the 170 directors needed in daycare centers in Chungnam Province, and a frequency analysis method was applied. The results are as follows. First, prevention program should be developed to prevent children’s sexual behavior problems. Second, local communities should prepare a task force team on children’s sexual behavior problems in advance and it would better to make the team consist of local community professionals to handle the problems appropriately. Third, the program should be instigated to educate child assaulter and assaulter’s parents on sexual violence relapse prevention. Fourth, child victim and victim’s parents should be supported with mental health recovery programs.
A Study on Public Service Commitment According to the Characteristics of Police Organizations

In the past, the police have changed from the role of crime and law enforcement to providing security services for the nation and the people, such as maintaining order and providing services, as well as the role of the police in the past. The most necessary factor in the role of the police is public service commitment. Therefore, this study attempted to empirically verify the factors that affect police commitment to public office according to the characteristics of police organizations. By reviewing previous domestic and foreign studies, the characteristics of police organizations that affect public service commitment were perceived organizational support, access to resources, learning organization, and red tape.&#x0D; As a result of the study, it was investigated that perceived support perception, learning organization, and red tape affect the police's commitment to public service. Therefore, depending on the characteristics of the police organization, the commitment of police officers to public service can be improved to a high level. Based on these research results, we would like to make policy suggestions that can improve the police's public service commitment.
Identifying and analyzing the factors affecting the intelligent leadership of school principals using exploratory factor analysis

Identifying and analyzing the factors affecting the intelligent leadership of school principals using exploratory factor analysis
A Multi-object Detection Sampling Algorithm For Large Scenes

Multi-object detection in large scenes aims to find objects in images, which usually contain more than one billion pixels. Based on the concept of dividing and conquering, the state-of-the-art (SOTA) methods slice the super-resolution image into patches first and then lower the image solution to detect objects later. The advantage of this method is that it can adapt quickly to regular detection algorithms. However, a set of parameters needs to be set manually, such as the size of sliding windows and overlap, which is quite hard to fit all scenarios. It may result in a loss of samples located at the boundary of the sliding window and the oversampling of inefficient samples that appear within the overlap. In this paper, we propose a object-oriented image sampling algorithm based on anchor boxes during training and multi-scale pyramids during inference. Inspired by the mature object detection baseline Scale-YOLOv4, we present more tricks to fit large scenes. The accuracy can reach 66%, which is 24 points higher than the CascadeRCNN model of the official backbone network ResNet50. Finally, we have won first place in the PANDA object detection tracking using this method.
Perancangan Desain Antar Muka Sistem Informasi Pengarsipan Pada CV. Inti Jember Sukses

This study aims to design and implement an archival information system at CV. Inti Jembar Sukses which can be used to manage transaction records and provide technological insights to leaders and staff who previously did not use information system technology with the system design stages using the waterfall method with five stages, namely needs analysis, system interface design. While the modeling used is the Unified Modeling Language (UML). Archive information system on CV. The core of jember success. The results of this study resulted in analysis, system interface design with UML modeling to create a system that can be used as an archive data manager and smooth access to company information that has resulted in the design that has been made. Archive information design on the CV. Inti Jembar Sukses where there are still several letter documents that have not been made due to time constraints and the design requirements are made online starting from the status of the archives and bidding documents.
Explainability of deep learning models in medical image classification

The ability to explain the reasons for one’s decisions to others is an important aspect of being human intelligence. We will look at the explainability aspects of the deep learning models, which are most frequently used in medical image processing tasks. The Explainability of machine learning models in medicine is essential for understanding how the particular ML model works and how it solves the problems it was designed for. The work presented in this paper focuses on the classification of lung CT scans for the detection of COVID-19 patients. We used CNN and DenseNet models for the classification and explored the application of selected visual explainability techniques to provide insight into how the model works when processing the images.
The refactoring method about 3D model's horizontal profile for Additive manufacturing

Deal with the problem that direct contour of the cross-section in 3D model is discontinuous curvature. A kind of curve rebuilding method is proposed. Firstly, using the location relationships between the section and the model solve the crossover points. Then, using high interpolation function fits those points to get the section-profile's fitting curve. Finally, analysis the error of the fitted curve. Resolutely, using this curve to replacement the direct curve is accurate in AM. In the same time, this method can solve the problem that direct contour is discontinuous.
The Feasibility of Trajectory Controller by SS Equation of an Error Model in WMR

There has been an increasing amount of research on WMRs. The WMRs have lots of advantages: their mechanical system is usually simple; the whole movement mostly contains two dependent motors; and their motions in two-dimensional space are quite adaptable. At the same time, the WMRs have better power efficiency. WMRs have been studied from many points of view, such as modelling control, obstacle avoidance, localization, tip-over stability, and so on. This paper discusses the control algorithm. WMRs have nonholonomic constraints. That is, the mobile robot may not be able to reach a specific position and angle in a specific time; however, the robot can reach the target in a different motion or within a limited time. In this paper, an error model based on the WMR is introduced. The model explains the error between the actual position and the ideal or target position in the continuous motion of WMRs. The error model will be transformed into a state-space equation in order to demonstrate that the algorithm that controls the WMR`s movement is controllable. By splitting the inputs into and , the whole equation is transformed into a zero-input state-space system. Then, the errors can be minimized with the optimization of the feedback. The results show that by optimizing the time-varying feedback matrix, the error is asymptotically stable and close to zero. Therefore, by adding this control law to the controller, an approach to making mobile robots follow the planned trajectory is obtained.
Pengaruh Milenial Branding Erick Thohir Terhadap Perilaku Pemilih di Pilpres 2019

The figure of Erick Thohir has emerged into the conversation since he became the chairman of the 2018 ASEAN GAMES committee. Erick Thohir is considered capable of gaining millennial votes in the 2019 presidential election, so Erick Thohir is lined up to be the chairman of the presidential and vice presidential candidate winning team Jokowi - Ma'ruf Amin. According to the millennial classification, Erick Thohir cannot be categorized as a millennial. However, Erick Thohir is considered an influential young figure. The purpose of this study was to determine the views of students of the Faculty of Da'wah and Communication at UIN Raden Fatah Palembang towards Erick Thohir, as well as the influence of Erick Thohir's millennial branding on voting behavior in the 2019 presidential election. The approach in this study was a quantitative approach with correlational methods and the number of samples in this study. opened 46 students of the Da'wah Faculty and the class of 2016 with a simple random sampling technique using a questionnaire and data analysis using SPSS 25. The results of this study are the views of students from the Faculty of Da'wah and Communication at UIN Raden Fatah Palembang towards Erick Thohir are positive and categorized as high, reaching 82.5%. The behavior of choosing students from the Da'wah and Communication Faculty of UIN Raden Fatah Palembang in the 2019 Presidential Election was categorized as tending to reach 69.4%. Meanwhile, Erick Thohir's millennial branding on voting behavior in the 2019 presidential election obtained significance with the results of the t test which showed that it was t_count &gt; t_table or 3,723 &gt; 2,021 with a significant level = 5%. The correlation is relatively low, namely 30.7% between variables X and Y. While the remaining 69.3% is influenced by other factors outside this study.
Klasifikasi Image Tumbuhan Obat Sirih dan Binahong Menggunakan Metode Convolutional Neural Network (CNN)

Medicinal plants are types of plants that are often used by the community because they have many benefits, such as to prevent or cure various diseases. Betel and binahong are medicinal plants that are widely used by Indonesian people. One part of the plant that is commonly used to classify plant species is the leaf. The CNN method is a very common method used for image classification because this method produces the most significant accuracy in image recognition. The study used 900 data images with a comparison of training, validation, and testing data, namely 7:2:1. Based on the test results using epochs of 15, 20, and 25 on betel leaf and binahong images, it shows the greatest accuracy of 95.67% for test data. So it can be concluded that the Deep Learning technique with CNN is able to classify images of betel and binahong leaves well.
Knowledge Management Mediation Model of Higher Learning Institution Performance

There are many studies on Knowledge Management (KM) in different organizations however less investigation on university, especially teaching staff in terms of using KM to enhance their duties at the universities. Thus, this paper presents a study to examine the Critical Influential Factors of Knowledge Management and Innovation Management on UAE Universities Performance. The study adopted a quantitative approach where a questionnaire survey was carried out among academic staffs of UAE universities. A total of 330 respondents involved in this survey. The data gathered from the survey was used to develop the mediation model which comprises of innovation learning acts as mediator to the relationship between the five knowledge management variables and the university performance variable. The model was developed and assessed in SmartPLS software. The mediation model comprises of direct effect relationship and mediation effect relationship. For direct effect relationship, it was found that two KM dimensions have a direct significant effect on universities’ performance, which are knowledge acquisition and knowledge application. And also, it indicates that there is a significant direct effect for innovation learning on university performance. For mediation effect, it was found that innovation learning on the relationship between KM dimensions (knowledge acquisition, knowledge storage, knowledge sharing, and knowledge application) and universities’ performance. The results from this modelling work, indicated that knowledge acquisition and knowledge sharing have a significant indirect effect on universities’ performance with partial mediation for knowledge acquisition and full mediation for knowledge sharing. The findings of this research could benefit academic and decision makers in terms of enhancing organization performance through KM. Also, innovation learning can be considered as a stimulant to KM in further enhancing the university organization performance.
Antecedents of Technology Adoption by Manufacturing Firms in the UAE

Technology adoption growth has become a primary motivator for individuals,businesses, and governments in this competitive world. Hence, this paper presents a study of antecedents of technology adoption by manufacturing firms in the UAE. This study has identified 19 antecedents of technology adoption growth from the literature. A questionnaire survey was conducted by distributing 400 questionnaires to the manufacturing firms’ employees involved in production operations in UAE. However, only 330 valid questionnaires were for data analysis. The collected data was analysed to rank the antecedents based on its influenced on adopting new technology in the UAE's manufacturing sector. The ranking was based on mean score and standard deviation values of the antecedents. It was found that the five highest ranks are organizationantecedentranked first with a mean value of 4.50, followed by Time for implementation ranked second with a mean value of 4.44. Technique for operating technology ranked third with a mean value of 4.38, compatibility ranked fourth with a mean value of 4.37, relative advantage ranked fifth with a mean value of 4.36. Following, the collected data were analysed for each antecedent effectiveness in technology adoption. Out of 19 identified antecedents of technology adoption, it wasfound that ten of it have strong level of effect, while nine have high level of influences on the technology adoption growth. The study's findings can help government agency to formulate policy related to technology adoption growth in UAE manufacturing sector and this will improve the UAE's business and economic growth improves their performance and productivity by leveraging technology.
Methodological aspects regarding the processing of pedagogical experimental data applying the φ*-Fisher and U-Mann-Whitney criteria

In that article, the results of the pedagogical experiment regarding the study of "Graph Theory" in the university system from the perspective of the implementation of new information technologies are presented. Statistical data processing was carried out by applying the non-parametric criteria φ* - Fisher's angular transformation and U-Mann-Whitney. The central conclusions related to the conducted experiment are highlighted.
IDENTIFIKASI CALON MAHASISWA BARU DALAM PEMILIHAN PROGRAM STUDI SEBAGAI MODEL PENGEMBANGAN KERJASAMA DENGAN MKKS SE PROVINSI LAMPUNG

There are still many prospective students from the University of Lampung from various high school graduates and their equivalent who do not know which study program at the University of Lampung is good and suitable for them, so that when they are accepted and start lectures, it is not uncommon for students to feel that they have chosen the wrong major which results in curiosity. changing study programs late or even unable to complete college. This study aims to build a decision support system that displays recommendations for Study Programs at the University of Lampung that are in accordance with the interests and academic abilities or intelligence of prospective students. This system is expected to assist prospective students in choosing a study program that suits them, so as to reduce the risk of changing study programs, as well as being late for graduation or even not being able to graduate. The system development method that will be carried out in this research is Extreme Programming (XP) in order to build a system quickly and according to user needs which has four main stages, namely planning, designing, coding, and testing before releasing the system. Meanwhile, to determine recommendations based on the interests and intelligence of prospective students, they will use Holland's theoretical basis for interest, and the Intelligence Structure Test (IST) theory for intelligence.
Aplikasi Pendataan Buku Di Badan Perancangan Pembangunan Daerah Kota Metro Berbasis Desktop

Regional Development Planning Agency, abbreviated as BAPPEDA, is a regional technical institution in research and regional development planning. The observations during the research process showed that book data collection was still carried out in Microsoft Excel, so frequent occurrences occurred, such as loss of document files and data corruption due to viruses. In this case, the authors designed a desktop-based book data collection application using the System Development Life Cycle (SDLC) method and Black Box Testing. The programming language used in this design is JAVA, and MySQL is the database. The result of this design is an application that can simplify and speed up officers in making reports, processing data, and collecting book data. The drawback of this application is that the application is still desktop-based and offline. Therefore, the authors hope future researchers can develop an online book data processing application
Audio - Article Summaries Volume 12, Special Issue (English)

As an added service to those visiting the journal, the HLRC provides in English and Spanish a brief audio summary of the articles published in the issue. This is the English version.
Terrestrial Paths Estimation by using Satellite Tracking with lost data

Autonomous vehicles navigation requires previously plotted paths to avoid deviations or collisions with other objects. One of the main problems is the loss of location data when specific paths are designed due to disturbances in the acquisition devices. The most used technology for geo-position registration is the Global Positioning System (GPS) due to its great precision and low cost. However, the advantages of this technique for designing navigation paths are overshadowed if there is a significant loss of information. In this work, it is proposed to use a modified Iterative Unbiased Finite Impulse Response (I-UFIR) algorithm to estimate the GPS data lost. The satellite measurements are obtained with the G28U7FTTL receptor, and the lost measurements are estimated in different sections of a specific path in an urban environment. The results are corroborated by using a real map and the mean square error based on a referenced path.
Penerapan Metode Metode Dempster Shafer Untuk Mendiagnosa Penyakit Ginjal Berbasis Web

Kidney disease is one of the non-communicable diseases with the highest proportion in Indonesia and is one of the causes of death in this country. Especially in Asahan District, the number of kidney patients who die is increasing over time, so there needs to be effective treatment so that kidney disease is no longer feared by the public because it is easy to treat. Many patients who experience kidney disease are getting worse because they cannot detect the early symptoms of kidney disease, which is still considered trivial. There is no information about kidney disease and its symptoms, making it difficult to diagnose the disease. In the diagnosis of this disease is limited to conventional diagnosis with doctors. it is necessary to build a system on a computer application to help diagnose kidney disease. To determine the level of kidney disease, an expert diagnostic system was made with the method used in this case is the Dempster Shaper method. This method is an approach method that is used is to measure the strength of evidence (facts) in supporting a set of propositions by providing a way to combine evidence from sources and bring or provide a level of confidence (represented through the trust function) which takes from all available evidence with input. required attributes and the likelihood of the disease and associated symptoms. The result of the implementation of the system is that the system provides an alternative to the symptoms experienced by the patient and the results of the process the system will provide information on kidney infection by 60% and also provide solutions with treatment
PENGGUNAAN ALAT PERAGA DALAM PEMBELAJARAN

Teaching aids is a tool or equipment used by teachers when communicating in the teaching and learning process. Teaching aids include all learning resources that can be used in the teaching and learning process so that teaching can take place well, draw closer or smooth the road to the planned goals. All types of teaching aids that can channel messages, stimulate the mind, attention, and facilitate student understanding of the material being taught, then all of them can be used as props in increasing student understanding of both objects and their surroundings. Teaching aids is a tool or equipment used by teachers when communicating in the teaching and learning process. Teaching aids include all learning resources that can be used in the teaching and learning process so that teaching can take place well, draw closer or smooth the road to the planned goals. All types of teaching aids that can channel messages, stimulate the mind, attention, and facilitate student understanding of the material being taught, then all of them can be used as props in increasing student understanding of both objects and their surroundings