Reviewerly/exHarmony huggingface dataset:
Investigation of dynamic control ML algorithms on existing and future Arm microNPU systems

In this thesis, dynamically controlled machine learning algorithms running on state of the art Arm microNPUs, with an attached Cortex-M CPU, were investigated.The machine learning framework used was Tensorflow and different subsets of it,such as Tensorflow Lite micro. Compiling the network to run on the microNPU wasdone with the use of an open-source compiler called, Vela. In order to investigatethe dynamic support - the algorithm, MTCNN, as proposed by K. Zhang et, al. [1] was implemented on the aforementioned hardware; MTCNN was chosen due to its dynamic properties, as the algorithm structure changes depending on the input it receives. Where some parts of the algorithm may not be executed as frequently,or at all, depending on the result of earlier stages.Full dynamic support was possible on the CPU through custom kernel implementations. Several of the components needed for full use of dynamic control,on the microNPU, were unsupported throughout the toolchain. Because of this,MTCNN was divided into several parts (removing the need for dynamic support)to further investigate the performance gain by natively supporting the dynamiccontrol operators on the microNPU. The results obtained clearly outlines a generalperformance gain by adding dynamic control support and the ability to run andschedule an algorithm, as a single ML model. However, for MTCNN in particularit was concluded that a major speedup was achieved by executing the static partsof the algorithm on the microNPU. The dynamic parts, with regards to MTCNN,amounts for a small percentage of the total run-time.
EVALUATION OF THE IMPLEMENTATION OF ACTIVE FIRE PROTECTION SYSTEM AT ERNALDI BAHAR SUMATERA SELATAN

Introduction: The hospital is a place that is quite prone to fire hazards. Ernaldi Bahar has various characteristics of activities that have the potential to cause fires such as medical and administrative activities that use electrical installations as well as the use of intensive fire sources in kitchens, laundry or generator rooms as well as the presence of relatively high burning materials sourced from various medicines, chemicals, LPG gas cylinders and oxygen. The purpose of the research is to evaluate the implementation of active fire protection system at Ernaldi Bahar. Methods: This study uses qualitative methods with observational approaches, interviews and document studies. Result: The results showed that the active fire protection system at Ernaldi Bahar Hospital is well categorized with a percentage of 69% value with the results of fire alarm analysis based on Kepmen PU No.10 Year 2000, NFPA 72 and SNI 03-3985-2000 (81%), fire detector analysis based on NFPA 2000 and SNI 03-3985-2000 (100%), apar analysis based on NFPA 10 (89%), building hydrant analysis based on Permen PU No.26 Year 2008 and SNI 03-1745-2000 (73%), analysis of page hydrants based on Permen PU No.26 Year 2008 and SNI 03-1745-2000 (73%), and Sprinkler analysis based on SNI 03-3989-2000 (0%). Conclusion: Active fire protection system has been implemented well with a percentage of 69% value but it need some improvement in maintenance, placement, recording and completeness of active fire protection system components. Keywords: Hospital, Fire, Active Fire Protection System
Speaking Performance and Grammatical Competence Across Cognitive Learning Styles and Strategy Inventory for Language Learning

Abstract: This study is an attempt to see the correlation between speaking performance and grammatical competence, particularly in the EFL context by including cognitive learning styles and Strategy Inventory for Language Learning (SILL). The correlational study is employed to analyze the scores of argumentative speaking and written grammar tests of 30 Economics students at STIE Malangkuceswara Malang. It is found that there is no significant correlation between speaking performance and grammatical competence. However, FI students outperformed in speaking and FD students surpassed in grammar. In fact, those who scored higher on both tests used more SILLs than those who scored lower. Abstrak: Penelitian ini merupakan upaya untuk melihat hubungan antara kemampuan berbicara dan kompetensi gramatikal, khususnya dalam konteks EFL dengan memasukkan gaya belajar kognitif dan Strategy Inventory for Language Learning (SILL). Studi korelasional digunakan untuk menganalisis nilai tes berbicara argumentatif dan tata bahasa tertulis pada 30 mahasiswa Ilmu Ekonomi STIE Malangkuceswara Malang. Diketahui bahwa tidak ada korelasi yang signifikan antara kinerja berbicara dan kompetensi tata bahasa. Namun, siswa FI unggul dalam berbicara dan siswa FD melampaui dalam tata bahasa. Faktanya, mereka yang mendapat skor lebih tinggi pada kedua tes menggunakan lebih banyak SILL dibandingkan mereka yang mendapat skor lebih rendah.
An anti-outliers SRCKF algorithm for fixed single observer passive location

Outliers often appear in measurement noise of single observer passive location system, which has a negative effect on filtering accuracy and stability, and may even lead to filter divergence. Aiming at the effect of outliers, an anti-outliers square-root cubature Kalman filter algorithm is proposed based on Bayes theorem by using the normalized polluted normal model. In this method, the cubature rule is used to calculate the mean value and variance of the nonlinear function, the normalized contaminated normal model is used to deal with the measurement error, and the variance matrix of the measurement prediction residual is adjusted in real time according to the posterior probability of outliers. The simulation results in the fixed single observer passive location model show that the proposed algorithm is robust and can eliminate the adverse effects of discrete or continuous outliers in the measurement noise.
Rhetoric in Queen Elizabeth Speech

This thesis deals with Rhetoric in Queen Elizabeth Speech. The objective of this research is to find out the kinds of rhetoric used in Queen Elizabeth Speech, to find out the most dominant of rhetoric used in Queen Elizabeth . This research used the descriptive qualitative method to analyze the data. The researcher took a script as the source of data. To collect the data, the researcher analyzed the sentences in the script. They are Paralleism, Antithesis, Asyndenton, Alliteration, Anaphora, Metaphor, Metonymy, Simile, Personification, Hyperbole. The kinds of rhetoric that most dominant appeared in Queen Elizabeth . The findings showed Personification 21%, Paralleism 15.7%, Alliteration 13.1%, Asyndenton 10.5%, Metaphor 10.5%, Hyperbole 10.5%, Anaphora 7.8%, Antithesis 5.2%, Metonymy 2.6%, Simile 2.6%. From the data above, it showed that there were 21% Personification were used in the speech. It means the most dominant kinds of rhetoric used in Queen Elizabeth speech is personification.
Analisis Penggunaan Media Audio-Visual untuk Meningkatkan Hasil Belajar IPS Siswa di Kelas IV Sekolah Dasar

Social studies are studied in elementary school. The main objective of social studies is to allow students to become knowledgeable, thinking, and involved citizens in the local and the world community. But in fact, shows that the learning result doesn’t meet the purpose. The primary basis for teaching social studies is depending on the literature as a single-source guide by teachers as a center has become common. This classic method makes students have difficulties in learning and understanding. Applying audio-visual media can help students to be successful in learning IPS, it affirmed by prior researchers. This study's purpose is to analyze: enhancing student achievement in social studies through audio-visual media in grade fourth of elementary school A systematic review represents the research process in qualitative studies. Data were collected from various articles of the researcher.  Milles and Huberman’s techniques are the main method used for data analysis. They divided the process of analysis into three phases, consisting of data reduction, data displays, and diagnosis. Based on the analysis of research data collection showed that audio-visual media usage improving students' achievement of social studies in a grade fourth elementary school. Studying social studies through audio-visual media has been proven to make students more creative, motivated, and easy to follow the teacher's explanations during learning activities
Modelo multimodal de enseñanza-aprendizaje. Consideraciones para mejorar la práctica docente post pandemia

In 2021, the educational scenario hit both by the pandemic and its consequences in all dimensions of economic and social life, the construction of new learning models to support distance processes mediated by technologies and technologies cannot be postponed. And with this respond to better serve the educational needs emerging from the historical moment that we are living through. We are aware that the interest in learning from students persists and this generates new teaching needs on how to support them in a context of social distancing. This article provides some considerations to improve teaching practice during and after pandemic.               The authors share their experience of implementing a hybrid teaching-learning model, on which this didactic proposal is articulated with the purpose of encouraging new good teaching practices, establishing some principles that should be considered in a multimodal learning model that can be used both at the undergraduate and graduate level, oriented to the teaching of social sciences.
Research Guides: Science: Books and eBooks

Provides resources for research in science. If unsure where to start, or need help, please ask a librarian for help.
Joseph R. Skeen Library : Ch E 476/MATE 576 (Tartis): Home

Research guide with information and tips supporting the coursework in Michaelann Tartis's Ch E 476/MATE 576 class for Spring 2019
Accreditation in Operation Of Special Library

Library accreditation is an activity in order to evaluate all activities of library management measured based on certain quality standard parameters. Standard is a reference measure of quality. Library accreditation also applies to specialized libraries. There are six aspects that are in the spotlight and must be considered in order to achieve the goals and targets of achieving library quality. Starting from library collections, library facilities and infrastructure, library services, library staff, library administration and management as well as reinforcement.
A New Approach for Developing SMART DEPARTMENT

Smart Department System is a powerful system that provides users with a rich and responsive user interface and can collect information about system resources within the department. The system provides an appropriate database system to store this information. In addition, it provide overall monitoring of systems connected to servers in the department network. The administrator is granted permission to add or delete systems. The system allows different types of users to collect information about client systems in the department. In addition, administrator users can also shut down the system by monitoring the system, usage of processors, memory, etc. To be precise, it can be said that the Smart Department system is an efficient system that can be used to monitor and control connected systems.
UPAYA MENINGKATKAN MOTIVASI BELAJAR MATEMATIKA MELALUI GAME MATEMATIKA ONLINE PADA SISWA SMP

The weak motivation to learn mathematics in junior high school students is caused by many factors including lack of teacher effort in using media to help students understand and grow motivation in learning mathematics. This research aims to determine the difference to improve in motivation to learn mathematics through online mathematics games higher than conventional learning. This study uses a quantitative approach. The population in this study were all class students VIII SMPN Negeri 2 Lhokseumawe, SMP Negeri 3 Lhokseumawe and SMP Swasta Sukma Bangsa Lhokseumawe. Sample selection using random sampling technique class. Collecting data using motivation questionnaires and observation sheets. Analysis of the results showed that there was improve in the motivation of students taught using online mathematics games higher than students who were taught conventionally in SMP in Lhokseumawe City.
SEGMENTATION OF THYROID IMAGES USING BACKTRACKING SEARCH ALGORITHM

Thyroid cancer is one of the fastest growing cancer diagnoses worldwide. Thyroid cancer commences from a typical growth of thyroid tissue at the edge of the thyroid gland. Thyroid image segmentation is one of the major steps in image analysis that subdivides an image into various constituent parts. The majority of image segmentation methods are based on thresholds obtained from image histogram. The difficulty in subdividing the image based on histogram is finding optimal threshold. Due to the complexity associated with histogram of thyroid medical images, the classical segmentation methods finds it difficult to obtain optimal threshold, thus either Swarm Algorithm (SA) or Evolutionary Algorithms (EA) are chosen to be an alternatives. The Backtracking Search Algorithm (BSA) is a newly introduced EA algorithm. The BSA has been proved to be very successful on various standard benchmark optimization problems and has one tuning parameter called amplitude control factor. This factor decides about generating trial population in BSA algorithm. Though there is only one control parameter, the trial population may be generated by various means centered on random strategy. This research paper develops various BSA variants based on trial population generation strategies and used for thyroid image segmentation. The comprehensive analysis of BSA variants is presented on multi-level image thresholding. It is found that BSA variants shows almost comparable solution and proves the robustness of BSA algorithm.
3D shape measurement for shiny surface using pixel-wise composed fringe pattern based on multi-intensity matrix projection of neighborhood pixels

Phase shifting profilometry (PSP) has been commonly used in three-dimensional shape measurement. However, image saturation is a challenging problem leading to phase and measurement errors when measuring the shiny surface. We propose a new method using pixel-wise composed fringe pattern based on multi-intensity matrix projection of neighborhood pixels. First, a multi-intensity projection matrix is established and projected onto the object. The optimal intensity (the maximum projection intensity without saturation) for each pixel and the mask of each intensity can be obtained by analyzing the proportion of saturated pixels in the captured matrix region. Then, a set of new fringe pattern images without saturation can be obtained with phase shifted sinusoidal fringe patterns of different intensity levels and the corresponding mask. With PSP, the object can be reconstructed. Compared with existing methods, the proposed method can significantly reduce the number of projection operations and time consumption. The performance of the proposed method is verified by the experiments.
Identifying Language Learning Strategy Employed by Malaysian Upper Primary ESL Learners

Language Learning Strategies (LLS) are used to facilitate independent-learning and make it adaptable to new language tasks.However, most of LLS are focused more on adults compare to children so there is limited research on LLS for children.Therefore, this paper provides an overview how researchers used CHILLS questionnaire to investigate LLS that commonly used among Malaysian Upper Primary English as a Second Language (ESL) Learners in the second language acquisition.The data and findings are collected from 105 participants from different primary schools across Malaysia.This paper is hoped to render a better understanding on the process of effective language learning using the discussed LLS among Malaysian Upper Primary ESL Learners.The data have indicated that learners prefer to use LLS strategies in Part A of CHILLS questionnaire compared to other parts.The researchers also aim to conduct
Intelligent Wheelchair Positioning Control System Based on Single Chip Microcomputer

The design of an intelligent wheelchair positioning control system based on single chip microcomputer mainly solves the core problem that many people need to live with the help of wheelchairs because of the aging population and a variety of disease factors. in this case, it needs to be taken care of by the staff, but the family in this case is not rich, and it will cause embarrassment for the family and the family. Through the analysis, we can know that the most worried about the occurrence of wheelchair patients is that they are worried about their loss and are unable to grasp their geographical location. Make the children or relatives worried and unable to work, this design uses single-chip microcomputer as the core controller, combined with dipper module for positioning, and uses Hall module to detect its driving state. to achieve the purpose of learning the travel status of wheelchair patients in time. So that their children can work at ea
Post-covid performance management : the impact of remote working experience during the pandemic

The Covid-19 pandemic forced organizations to suddenly shift their people to remote work. The unexpected situation created a brand-new organizational landscape. It has been filled with uncertainty and required great openness and adaptability from both employees and organizations. The age-old dilemma of performance management, the trust vs. control, was seen in a new light. The primary challenge of managers became to establish the balance between trust and control by keeping employees involved and motivated in the online space. This paper explores the main features of remote work and its effects on employees' performance management by considering organizational learning as a critical cultural effect of remote work. We investigated the adaptation process from both the employees' and employers' perspectives. Our findings comprise the critical questions and new directions of performance management in the context of remote work, considering the technological and cultural issues. Assuming that remote working will remain present post-Covid and reshape workforce strategies in the long run, the findings of this paper might be highly relevant for organizations as they rethink their processes of working, thinking, and operation. Based on the current study, in the future we want to explore the phenomenon of employees' informal learning, which seems to have disappeared during the course of shifting to remote working.
Towards Learning Spatially Discriminative Feature Representations

The backbone of traditional CNN classifier is generally considered as a feature extractor, followed by a linear layer which performs the classification. We propose a novel loss function, termed as CAM-loss, to constrain the embedded feature maps with the class activation maps (CAMs) which indicate the spatially discriminative regions of an image for particular categories. CAM-loss drives the backbone to express the features of target category and suppress the features of non-target categories or background, so as to obtain more discriminative feature representations. It can be simply applied in any CNN architecture with neglectable additional parameters and calculations. Experimental results show that CAM-loss is applicable to a variety of network structures and can be combined with mainstream regularization methods to improve the performance of image classification. The strong generalization ability of CAM-loss is validated in the transfer learning and few shot learning tasks. Based on CAM-loss, we also propose a novel CAAM-CAM matching knowledge distillation method. This method directly uses the CAM generated by the teacher network to supervise the CAAM generated by the student network, which effectively improves the accuracy and convergence rate of the student network.
Audio2Gestures: Generating Diverse Gestures From Speech Audio With Conditional Variational Autoencoders

Generating conversational gestures from speech audio is challenging due to the inherent one-to-many mapping between audio and body motions. Conventional CNNs/RNNs assume one-to-one mapping, and thus tend to predict the average of all possible target motions, resulting in plain/boring motions during inference. In order to overcome this problem, we propose a novel conditional variational autoencoder (VAE) that explicitly models one-to-many audio-to-motion mapping by splitting the cross-modal latent code into shared code and motion-specific code. The shared code mainly models the strong correlation between audio and motion (such as the synchronized audio and motion beats), while the motion-specific code captures diverse motion information independent of the audio. However, splitting the latent code into two parts poses training difficulties for the VAE model. A mapping network facilitating random sampling along with other techniques including relaxed motion loss, bicycle constraint, and diversity loss are designed to better train the VAE. Experiments on both 3D and 2D motion datasets verify that our method generates more realistic and diverse motions than state-of-the-art methods, quantitatively and qualitatively. Finally, we demonstrate that our method can be readily used to generate motion sequences with user-specified motion clips on the timeline. Code and more results are at this https URL.
A meta-analysis of hate speech in Indonesia: The yielding of an academic discourse to the discourse of authority

This article focuses on academic publication on hate speech within Indonesia’s scholarly context. The authors analyse the ongoing discourse on hate speech by conducting a meta-analysis method on Garuda, an official website designed for repository of scholarly publications in Indonesia. By examined 143 scientific articles, this study found that most studies refer to the definition of hate speech from the Circular No. SE/06/X2015 on hate speech issued by the Indonesian National Police which shows how most Indonesian academics were comfortable in using limited perspectives on hate speech. Furthermore, the variety of the studies on hate speech comes from law or legal studies and communication or da'wah communication. Most Indonesia academics also conducted studies on hate speech with a juridical normative approach, as well as qualitative research. Intriguingly, some studies have been done with unclear method and approaches. Academics ideally should serve as one of the critics for people in power and government apparatus, for example by continuing to question how hate speech is studied, including in the context of its definition and how it affects the implementation in Indonesia. Hence, the authors urged Indonesian academics to do more studies on hate speech from various backgrounds with more rigorous and various research methods to be able to expand the knowledge on hate speech cases in Indonesia.
La ctividad física y la recreación como estrategias para impactar a las comunidades locales y promover el desarrollo de habilidades blandas en el estudiantado: la experiencia de extensión universitaria con estudiantes de diferentes carreras en la Sede Int

This article discloses situations students from different careers of the National University, Alajuela Interuniversity Campus, have experienced. As part of their learning process in the course “Actividades y Eventos Recreativos” (Activities and Recreational Events), they designed and practiced actions that promote physical and recreational activities in different communities in Alajuela, one of the seven provinces of Costa Rica. This exercise proves that it is possible to reinforce students’ abilities and impact local communities through learning and extension programs. For the systematization of this experience, the students and people in charge of organizations where the activities took place were asked to fill out a questionnaire to know their perception regarding the obtained results.