Reviewerly/exHarmony huggingface dataset:
Towards Fine-grained Recognition: Joint Learning for Object Detection and Fine-grained Classification

Fine-grained classification is a challenging problem due to subtle differences between intra-class categories. In practice, fine-grained classification is often used in conjunction with object detection algorithms to locate and identify object categories. Despite recent achievements in both fine-grained classification and object detection, few works have demonstrated datasets or solutions to simultaneously handle both tasks. We make two contributions to this problem. Firstly, we construct a fine-grained classification and detection benchmark. Secondly, we show an end-to-end convolutional neural networks (CNNs) architecture to detect and classify fine-grained objects. Experimental results verify that our networks perform favorably against alternatives.
Murder in live streaming and the chronicle of drug dealing: Social Media and drug trafficking in Brazil

This paper explores some aspects of the smartphone as a relevant tool for different tasks within the highly complex productive chain of drug trafficking in Brazil. From an ethnographic approach to uses of mobile technology, this study observes the digital media coverage on the use of smartphones by Brazilian criminal organizations along with comments and social interactions among users. A central point in the characterization of violence in Brazil is the complex interweaving between police, society and drug trafficking as a professional practice, in which political ideology and class struggle converge. The results highlight crucial questions about contradictions in contemporary Brazilian urban society: the relevance of digital technologies in criminal practices; the lack of content control by social media; the disparity between the police’s public agenda and its real actions; the efficiency of criminal organizations in communicating freely using the wide-open operating space of the Internet; the functioning of criminal organizations through their war on the control of “territories”.
Image dehazing network based on improved CycleGAN

In view of the blur and color distortion in traditional CycleGAN image dehazing, animproved CycleGANImage dehazing network is proposed. The generator of present CycleGAN consists three parts: feature extraction sub-network, feature fusion sub-network and image restoration sub-network. The image feature extraction sub network is used to extract the content features and style features of the image.The feature fusion sub network uses two different attention mechanisms to fuse the extracted content features and style features. The image complex atom network restores the fused image features to a haze free image.Compared with traditional CycleGAN and existing defogging networks, the proposed network can achieve ideal dehazing results for both synthetic images and real images, and effectively solves the problems of blurring and color distortion in traditional CycleGAN images after dehazing.
Exploring the Relationship between Undergraduate Students’ Uses of Mobile Assisted Learning and Their Learning Performance of Chinese as a Foreign Language in Thailand

This study mainly aimed to explore the relationship between undergraduate students’ uses of mobile assisted learning and their learning performance of Chinese as a foreign language at a high education institution in Thailand. Questionnaires adopted from Amanda and Zhang (2017) were distributed to 260 undergraduate students who were learning Chinese as a foreign language, their learning performance were evaluated based on their final scores of Chinese course scores. The results of study revealed that the undergraduate students’ uses of mobile assisted learning of Chinese language “very often”, the overall students’ Chinese performance was at the level of “moderate”, and there was a moderate positive relationship between students’ use of mobile application in Chinese and their learning performance ( r =.476, p <.05). Conclusion and Discussion on the finding were provided at the last part of the study.
Energy-Efficiency Metric for Real-Time Monitoring of OpenMP Programs Executing on Multicore Systems

Energy-efficiency has been a major challenge in compute systems over the last decade. In this paper, we propose an approach for on-line energy-efficiency mesurement when executing OpenMP workloads on multicore systems. The novelty of our approach lies in the ability to monitor energy efficiency at run-time without prior knowledge of the application profile or code annotation. The solution relies on two new metrics: the Chunks per Second (CpS) and Chunks per Joule (CpJ). The former captures the quantity of work achieved by threads per unit time (i.e. a performance indicator). The latter indicates the quantity of work achieved by threads per unit energy, also corresponding to the performance per watt. We show that these new metrics are suitable information making it possible to perform energy efficiency analysis.
The Processing of Verbs and Nouns Primed by Music Tempos

The wear and failure of pin joints integrated in coupling rods of process equipment can lead to unpredictable breakdown with severe consequences. We present a simple algorithm for a non-invasive online detection of wear in pin joints where a progressing cavity pump serves as an example. The algorithm only requires a pressure sensor and a binary speed signal of the motor. We verify the algorithm with a laboratory test setup and an embedded system. The results show that the proposed algorithm can reliably monitor joint wear during regular pump operation.
STEMMING BAHASA JAWA MENGGUNAKAN DAMERAU LEVENSHTEIN DISTANCE (DLD)

Stemming is one of the essential stages of text mining. This process removes prefixes and suffixes to produce root words in a text. This study uses a string matching algorithm, namely Damerau Levenshtein Distance (DLD), to find the basic word forms of Javanese. Test data of 300 words that have a prefix, insertion, suffix, a combination of prefix and suffix, and word repetition. The results of this study indicate that the Damerau Levenshtein Distance (DLD) algorithm can be used for Stemming Javanese text with an accuracy value of 49.6%.
Single Document Summarization Based on Grey Wolf Optimization

The amazing growth of online services has caused an information explosion issue. Text summarisation is condensing the text into a small version and preserving its overall concept. Text summarisation is an important way to extract significant information from documents and offer that information to the user in an abbreviated form while preserving its major content. For human beings, it is very difficult to summarise large documents. To do this, this paper uses some sentence features and word features. These features assign scores to all the sentences. In this paper, we combine these features by Grey Wolf Optimiser (GWO). Optimisation of features gives better results than using individual features. This is the first attempt to show the performance of GWO for Persian text summarisation. The proposed method is compared with the genetic algorithm and the evolutionary strategy. The results show that our model will be useful in this research area. Keywords: Text summarisation, genetic algorithm, sentence, score function, evolutionary strategy.
Future teacher training for the use of augmented reality in the educational process of a preschool education institution

The article substantiates the importance of future teacher training for the use of augmented reality (AR) in the educational process of a preschool education institution (PEI). Scientific sources on the problemof AR application in the field of education are analysed. The aspects of the research of the problem of AR application are defined in the field of education done by modern foreign and national scientists, in particular,the use of AR applications in education; introduction of 3D technologies, virtual reality (VR) and augmented reality in the educational process of preschool and primary school; application of 3d technology, virtualand augmented reality in a higher education institution; increasing the efficiency of training and motivation of students on the basis of using AR applications in smartphones; the formation of reading culture by means ofaugmented reality technology; prospects for the use of augmented reality within the linguistic and literary field of preschool and primary education. The specifics of publications of fiction works with AR applications areanalysed that are appropriate to use in work with preschool children; the possibilities of books for preschool children created with the help of augmented reality technology are demonstrated. The possibilities of using AR in work with preschoolers are considered. The urgency of the use of AR for the effective education and development of preschoolers is determined.The problems of application of AR in the educational process of modern national PEI are outlined. A method of diagnostic research of the level and features of readiness of future teachers to use AR in the educational process of PEI has been developed. Criteria and indicators are defined, the levels of development of the main components of the studied readiness (cognitiveand active) and the indicated readiness as a whole are characterized. The following points are proved: insufficiency and deficit of its formation of future teachers of the field of preschool education; inconsistency between the peculiarities of future teacher training to use AR in professional activities and modern requirements for the quality of educational processin PEI; the need to develop and implement a model for the formation of the studied readiness of future teachers of the institution of higher pedagogical education. A step-by-step model of formation of readiness of future teachers to use AR in the educational process of PEI has been developed.
Emerging Technologies, Globalization and Strategic Business Management: Exploring the Trilogy for Developing Countries

In this paper, we explored the trilogy of emerging technology, globalization, and strategic management with a focus on developing countries.The quantitative study deployed the quasi-experimental research design whereby a cross-sectional survey was conducted to collect data from respondents at a single point in time.The Population consists of individuals who are Nigerians living either in Nigeria or in the Diaspora.With a sample size of 385, the population size was determined using the z-score at 95% confidence level and a choice response of 50%.We adopted the conceptual framework of the Unified Theory of Acceptance and Use of Technology (UTAUT), a variant of The Technology Acceptance Model (TAM), in this study.This study is significant because of the need to understand the emerging trends in technology adoption and the role of globalization against a backdrop of a given economic environment.A cursory appraisal of the environment will show that strategic business management may, or may not, have played a role in moderating the patterns in the adoption of emerging technology.Exploring the trends, trilogy, and country conditions (for a developing economy) are the springboards for this study.Among others, the study found that females use emerging technologies more than males with clear gender differences in the salience of various factors that determine an individual's technology adoption decisions in the workplace.Furthermore, it was observed that strategic management in the form of regulations and policies or incentives, can affect the impact of technology diffusion within an economy.Finally, the study recommends an expansion of the study to include topical aspect of emerging technology like Internet of Things, Artificial Intelligence and 5G devices.
Orientation and Function of Examination Evaluation in the Reform of College Entrance Examination

With the aim of deepening the college entrance examination reform, this paper analyzes the orientation and role of examination evaluation in the reform of college entrance examination. Firstly, the paper expounds the implementation of the college entrance examination reform and affirms the necessity of several related educational reforms. Secondly, it expounds the orientation of examination evaluation. Finally, it summarizes the function of examination evaluation from four aspects: guiding the development of students’ comprehensive quality, supervising teaching work, promoting the progress of teaching work, and guiding examination propositions. The advantages of examination evaluation are emphasized to promote the reform of college entrance examination and further drive the progress of the education reform in China.
Quantum photonic processors to accelerate machine learning

The generation and manipulation of quantum states of light has historically played a critical role in the development of quantum information science: from the first violation of Bell’s inequality to the more recent development of near-term quantum algorithms such as the variational quantum eigensolver. In this talk, I present a new frontier for photons at the intersection of quantum mechanics and machine learning. I will first provide a short introduction to the field of quantum photonics, then demonstrate how quantum photonic processors can accelerate both quantum and classical machine learning. Finally, I show how optimization techniques can enhance large-scale quantum control and provide a new path towards efficient verification of near-term quantum processors.
WhatsApp Web QR code: Auto-change Frequency Analysis

Purpose: The purpose of the study is to investigate the behavioral aspects of WhatsApp Web QR code and its impact on privacy of users. Background: WhatsApp is the fastest growing private online chat network for encrypted messaging. The role of QR code encryption in WhatsApp Web interface provide users with the ability to secure communication. It remains uncertain if the same trends occur in the encryption protocol. To strengthen user’s security and privacy, the cryptographic algorithm has been modified to protect from the attackers. Methodology: The research was performed over a span of four months (July-October 2020) on experimental basis in India. All the observations and measurements were carried out using Mozilla Firefox web browser and the open source screen recording tool i.e. CamStudio. QR code decoding was performed in the ZXing decoder environment. Findings: This research examined the auto-change scale factor of the QR code in WhatsApp Web (A browser-based application of WhatsApp). The findings revealed that the QR code auto-change factor is 20 seconds while the QR code reload factor is 120 seconds. Evaluations showed that six consecutive QR code variations take place over each QR code reload period. Upon decoding the QR code of each set of QR code reload period, we observed that the parsed result of all QR codes were different. Each set of QR code reload period has six unique QR codes; even that doesn’t match the QR codes of the subsequent sets. Randomly changing QR codes are due to cryptographic algorithm that provides users for secure authentication and end-to-end-encryption.
PEMBERDAYAAN PELAJAR SEKOLAH MENENGAH ATAS (SMA) MELALUI KEGIATAN RELAWAN MAHASISWA LOKAL DAN ASING DALAM MENINGKATKAN KEMAMPUAN BERBAHASA INGGRIS SISWA

Volunteering project is a social activity which has been done by youth in developing human resources in ‎their environment. It is a teaching activity that volunteers can teach in school, that is Senior High School (SMA) ‎Theresiana Semarang. There are two kinds of class in this school, they are reular and imerci class which students in ‎imerci class understand and fluence in speaking English. This volunteering project uses teaching method such ‎conversation and public speaking. The aim of the activity is to help the students in developing their speaking ability ‎so that they can communicate using English. Hopefully, the students can speak fluently using English as their ‎provision in facing defiance of the globalization era whereas the competition of the human resources is increasingly ‎high.‎Keywords: Volunteers, Empowerment, Students, Local, Foreign
Neural Bases of Intonation and Tone Perception in Mandarin Chinese

This paper argues for a distinction between nuclear and core serial verb constructions in Standard Mandarin Chinese, following the Role and Reference Grammar framework. Both nuclear and core SVCs in Standard Mandarin Chinese form via the nexus relation of cosubordination and they differ in terms of the argument structure formation. Assuming a two-level argument structure, it is argued that nuclear SVCs form by fusing the semantic level of argument structure of component verbs, and the core SVCs form by partially fusing the syntactic level of argument structure of component verbs. Our analysis indicates that nuclear SVCs, which function on par with a single predicate, constitute a type of complex predicates. Unlike nuclear SVCs, core SVCs comprise two separate predicates, each owning a partially independent argument structure. In this sense, core SVCs fall outside of the category of complex predicates.
Constructing an ESP Bilingual Parallel Corpus Based on AntConc: Application and Assessment

AntConc is a free and green corpus tool developed by Japanese scholar Laurence Anthony featured by three main functions: concordance, wordlist and keywords.The author first describes the principles and process of constructing a web-based bilingual parallel corpus for the purpose of translation studies and ESP research based on AntConc.Constructing principles include strict linguistic standards, balance of corpus, and appropriate size.Based on the principles, language data is accumulated, processed and entered.After that, language processing software CLAWS part-of-speech tagger and Wmatrix are respectively used for text marking, annotating, high-frequency vocabulary extracting and corpus distribution balancing.In the end, texts, paragraphs and sentences are aligned by the corpus tool ParaConc.After the construction, the author uses the retrieval software Wordsmith 4.0 and statistical software SPSS 11.5 to prove the feasibility and effectiveness of the corpus with a six-month experiment that covers 16 translators, 25 teachers and 285 students.
PENGUATAN PENGELOLAAN BACK OFFICE E-COMMERCE UNTUK PENINGKATAN KAPASITAS UKM DI KOTA SAMARINDA

The low business capacity of SMEs is the result of the majority of SMEs (93.33%) still being managed traditionally. The limited capacity of SMEs can be overcome if SMEs are willing and able to change the way their business is managed, which is still traditionally replaced with web-based information technology, which is able to manage business and transaction processing without limits on space and time, such as the Prestashop back office application system. This application provides 2 types of modules, namely Back Office which consists of purchasing, sales, inventory, cash and bank modules, Front Office which functions as cash sales, so it is very easy to use by SMEs.
STUDENTS’ PERCEPTIONS: ENHANCING VOCABULARY MASTERY THROUGH VOCABULARY CARDS BANK PROJECT ON INSTAGRAM

This study investigated how students are stimulated to improve their vocabulary through the Vocabulary Card Bank project on Instagram and how they perceive it. The students were instructed to create their vocabulary cards weekly for one semester on Instagram. In this mixed-method study, the participants were first-year students in English Language Education Department at Universitas Internasional Batam. All data were collected using a questionnaire and interview. The findings showed that the majority of the students who participated in this study recognize the Vocabulary Cards Bank Project has many benefits as it can improve their vocabulary and write sentences in English. The vocabulary card posted on Instagram helped them find new English words other than textbooks and dictionaries. The results of this study are expected to motivate prospective English teachers and future researchers to apply other methods in teaching English. Keywords :  Vocabulary Cards Bank, Teaching Vocabulary, English Teaching, Instagram
Implementasi Pembelajaran Kooperatif Tipe Team Games Tournament (TGT) untuk Meningkatkan Hasil Belajar Mata Pelajaran Ilmu Pengetahuan Sosial (IPS) pada Siswa Kelas V SDN 2 Talang, Bandar Lampung

Based on the results of observations through pre-cycle activities by giving formative tests to class V at SDN 2 Talang Teluk Betung Selatan Bandar Lampung after previously providing material through the lecture method, it was found that the level of student learning completeness was 46.9%, which means there were only 15 students out of 32. students who have completed learning and 17 students who have not. After the teacher carried out the reflection, it was found that the teacher had not used innovative and creative approaches, methods, or learning models. This causes students to be less enthusiastic about social studies learning, especially in the Struggle against Invaders material because they are only passive learning objects and only do the tasks given by the teacher. To improve this, the Team Games Tournamet (TGT) type of cooperative learning model was chosen. This research is classroom action research which consists of 2 cycles, each cycle consists of 3 meetings. The research subjects were teachers (researchers) and fifth grade students at SDN 2 Talang Teluk Betung Selatan Bandar Lampung with a total of 32 students. As an observer, the researcher's colleagues were chosen. The variable of this research is Learning Outcomes. Data were collected using test and non-test techniques. Data analysis used quantitative and qualitative descriptive analysis. The results showed that the quality of social studies learning material for Struggle Against Invaders KPK and FPB material through the application of the Team Game Tournament (TGT) type cooperative learning model in class V SDN 2 Talang Teluk Betung Selatan Bandar Lampung has increased. The suggestion from the researcher is that research on the Team Games Tournament (TGT) type of cooperative learning model should not stop here, but can be forwarded to future research in order to obtain more accurate results regarding the Team Games Tournament (TGT) type of cooperative learning model.
Effects and Analysis of Activation Functions in Artificial Neural Networks Using NN Tool In Matlab on Weather Parameters.

Implementation of Activation Functions in Elman Back propagation Neural Network, NARX(Non-linear Auto Regressive Exogeneous) and Feed Forward Back Propagation Neural Network have been done and also studied the effects of those Activation Functions in terms of Accuracy by using the best measure known as RMSE. We have discussed Best Validation Performance in all the cases. We used very large dataset, which is for a period of five years of our country consisting of Weather parameters such as Minimum Temperature, Maximum Temperature, Visibility and Wind speed for Training, Testing and Validation. In the present work Elman Back Propagation shows accurate results. Simultaneously, Activation Function TANSIG supports the Neural network with not much difference comparing to others.
Crowd density estimation from a surveillance camera

This chapter presents an approach for crowd density estimation in public scenes from a surveillance camera. We formulate the problem of estimating density in a structured learning framework applied to random decision forests. Our approach learns the mapping between image patch features and relative locations of all the objects inside each patch, which contribute for generating the patch density map through Gaussian kernel density estimation. We build the forest in a coarse-to-fine manner with two split node layers and further propose a crowdedness prior and an effective forest reduction method to improve the estimation accuracy and speed. Moreover, we introduce a semiautomatic training method to learn the estimator for a specific scene. We achieved state-of-the-art results on the public Mall and UCSD datasets and also proposed two potential applications in traffic counts and scene understanding with promising results.