Reviewerly/exHarmony huggingface dataset:
Deep Associated Elastic Tracker for Intelligent Traffic Intersections

Smart and connected traffic intersections are a key component of the smart city idea. These intersections will be equipped with dynamic street and traffic lights, traffic analysis, anomaly detection, and other "smart" features, contributing towards solving various energy, safety, and congestion problems. The objective of this paper is to lay out a process for utilizing deep learning technologies to develop a smart traffic flow for cities. With the increase in accurate deep learning video analytic models, we propose developing multiple object detection and tracking solutions for traffic video analytics. One key challenge is that the detection results from each video frame are not associated with each other, thus causing the traffic tracking to be lack continuity. To solve this problem, we propose a Deep Associated Elastic Tracker (DAE-Tracker) that performs multi-stage object association and tracking for various deeplearning based detectors. We tested our solution with multiple deep learning models under different datasets. We also deployed our system on the roof of our engineering building and contributed our own dataset.
Automated Chat Application Surveys Using WhatsApp

We present a method to conduct automated surveys over WhatsApp, a popular cross-platform messaging service. The method relies on a combination of the WhatsApp Business, Twilio, and Google APIs to design the survey flow, send and receive survey messages automatically, and facilitate data processing. Respondents complete the survey entirely within the WhatsApp application in the form of a chat conversation. WhatsApp surveys incur relatively low costs to both respondents and researchers and facilitate continued engagement with mobile populations as users can retain their WhatsApp number even if they change SIM cards and phone numbers. We describe the use of this method with two case studies where we surveyed refugees and migrants in Colombia, as well as resettled refugees in the U.S. The case studies offer preliminary evidence that automated surveys over WhatsApp provide a viable alternative for surveying and panel data collection. While the method is not without limitations, it offers a promising research tool with opportunities for diverse implementation and empirical study given the widespread global use of WhatsApp. We o?er documentation and a public code repository as supplementary materials to support researchers in applying this method in other contexts.
Monocular 3D Hand Pose Estimation for Teleoperating Low-Cost Actuators

So far, in order to interact with a virtual agent that simulates hands or to teleoperate a robotic hand it is required any kind of device like joysticks, gamepads or VR controllers. These devices map a button press to a predefined action, usually with no fine control of the entity that is being teleoperated, which is unsuitable and unpleasant. In this work, we study different setups to perform 3D hand pose estimation from color images of hands with the aim of controlling a low-cost robotic hand. The experiments we carried out demonstrated that it is possible to do so with a deviation of less than 5 mm per joint.
A study on RBC histogram in different morphological types of anemia in comparison with peripheral blood smears in a tertiary care Centre in rural South India

Background:Erythrocytes are the most abundant and one of the most important cells in circulation in humans. They are biconcave, non-nucleated cells of the size of around 7.4 μm in diameter carrying hemoglobin. Various diseases and physiological conditions alters the morphology and contents of the red blood cells. The study of these alterations could be a major clue to the diagnosis and management of these diseases. Anemia is one of the most common morbidity associated with altered RBC morphology and content. Aims & Objectives: The aims of this study were 1) To study RBC histogram patterns in different types of anemia (Microcytic hypochromic, Macrocytic Normocytic normochromic) 2. Comparison of automated RBC parameters in anemic patients with morphological features noticed on peripheral smear examination. Methods: A Hospital based cross sectional study, in the Department of Pathology at Dr. SMCSI Medical College & Hospital, Karakonam, from November 2016-Novemeber 2018. Patients sent to hematology lab for evaluation of anemia were included in the study population with sample size calculated by the formula 1.962pq/d2.Blood samples of patients sent to hematology lab for evaluation of anemia by complete blood count (CBC) and peripheral smear examination. Results: In this present study Of the total 488 anemia cases studied 286 were females, with a female to male ratio of 1.4:1.There were 121 females patients who belonged to the reproductive age group of 15-49 years. Maximum number of anemia cases (77.04%) was present in adult population of more than 15 years of age and the mean age group was 42 years.Majority of the cases (64.58%) showed moderate anemia, 24.8% cases showed severe anemia and 10.62% cases showed mild anemia. Blood samples of 488 patients with anemia were evaluated along with the corresponding peripheral smear findings. The cases were Normocytic normochromic anemia, Microcytic hypochromic anemia, Dimorphic anemia and Macrocytic anemia as diagnosed by peripheral smear. In our study 64.2% of the cases were Normocytic normochromic anemia and 35.2% of cases were microcytic hypochromic anemia. Macrocytic anemia was observed only in 0.4% of cases and dimorphic anemia only in 0.2 % of the cases as diagnosed by peripheral smear examination.Conclusions: RBC histogram is an automated analyzer generated graphical representation of RBCs with size being plotted on the X-axis and number being plotted along Y-axis. The study showed that subcategorization of histogram patterns did not generate any additional information from the histogram, than obtained from the broad categorization of Left shift curve, Right shift curve and Normal curve. This could probably be sample bias and hence require future studies. This study also showed that there could be overlapping of correlation of various histograms with different types of anemias diagnosed morphologically on the peripheral smear.
Penerapan Algoritma C4.5 Untuk Prediksi Kualitas Pelayanan Terhadap Kepuasan Konsumen (Studi Kasus: Hinet Batam)

Quality of service is the goal of the company in providing satisfaction to consumers both service and non-service companies. One of the internet access service provider companies that is committed to improving service quality to customer satisfaction is Hinet Batam. This study aims to analyze the quality of service to Hinet Batam consumer satisfaction using the C4.5 algorithm. Valuation variables include empathy, responsiveness, reliability with satisfied and dissatisfied decisions. The results of processing the Data Mining method using the C4.5 algorithm were able to classify the level of customer satisfaction with service quality. With a satisfied predictive precision value of 61.7% and an unsatisfied predictive precision value of 38.3%. The results of this study can be used as a reference to improve service quality and to maintain customer loyalty in using internet service data package products and increase sales.
RETRACTED: Research on ERP Software Course Optimization Based on Big Data Technology

Abstract With the development of the times, the progress of society, the continuous improvement of human science and technology and cultural level, big data technology is also rapid development with the pace of the times, now, in people’s daily production and life, big data technology has been widely used. In this increasingly competitive society, all walks of life must have a clear understanding of the current development tasks if they want to keep up with the development trend of the times. The development of ERP software can also be defined through the analysis of big data technology. ERP software course is mainly a course integrating theory and practice. The main purpose of ERP Course in Colleges and universities in China is to meet the new requirements of society for ERP talents in the new era, and to better adapt to the needs and management of enterprises for students. Therefore, this paper puts forward the method of combining big data technology with ERP software course optimization research, analyzes the current situation of ERP software development, and combines with the new requirements of the new era society on the theory and practice of college students, so as to guide the development of ERP software course in Colleges and universities in China. Through the analysis, it is found that the method proposed in this paper is of great significance to the optimization of ERP software course.
Grammar-driven text-to-speech application for articulation of mathematical expressions

Copyright: 2020 Southern Africa Telecommunication Networks and Applications Conference (SATNAC). This is the full text version of the work.
Robustness evaluation of remote-sensing image feature detectors with TH priori-information data set

In this paper, we build a remote-sensing satellite imagery priori-information data set, and propose an approach to evaluate the robustness of remote-sensing image feature detectors. The building TH Priori-Information (TPI) data set with 2297 remote sensing images serves as a standardized high-resolution data set for studies related to remote-sensing image features. The TPI contains 1) raw and calibrated remote-sensing images with high spatial and temporal resolutions (up to 2 m and 7 days, respectively), and 2) a built-in 3-D target area model that supports view position, view angle, lighting, shadowing, and other transformations. Based on TPI, we further present a quantized approach, including the feature recurrence rate, the feature match score, and the weighted feature robustness score, to evaluate the robustness of remote-sensing image feature detectors. The quantized approach gives general and objective assessments of the robustness of feature detectors under complex remote-sensing circumstances. Three remote-sensing image feature detectors, including scale-invariant feature transform (SIFT), speeded up robust features (SURF), and priori information based robust features (PIRF), are evaluated using the proposed approach on the TPI data set. Experimental results show that the robustness of PIRF outperforms others by over 6.2%.
Evolving Text Classifier Using Genetic Programming

Text classification is one of the main tasks within the field of natural language processing, which has been growing significantly during the last decade with applications in different industries. Despite different approaches to text classification showing good results, such as Machine Learning and Deep Learning, their shortcomings give substance to the need for further research on other approaches. In this thesis, we propose a genetic programming algorithm - a technique inspired by biological evolution, which is capable of producing text classification models by means of string matchers and character n-grams. This approach does not require domain-specific knowledge and manual feature engineering and can provide interpretability in the model. The performance of the classification models produced by the proposed algorithm gives promising results, especially on topic detection. (Less)
RETRACTED: Analysis of the Inheritance of Excellent Traditional Cultural Spirit in the Teaching of Ancient Literature in the Chinese Department Based on Computer Assisted Technology

Abstract Relying on ancient Chinese literary works and through reasonable teaching settings, we can promote the inheritance of our excellent traditional cultural spirit. Based on this, this paper uses computer-aided technology to first analyze the significance of inheriting the excellent traditional culture spirit in the teaching of ancient Chinese literature. Then this paper analyses some problems in the current teaching. Finally, some suggestions are put forward. This article hopes that through the teaching of ancient Chinese literary works, we can effectively inherit the excellent traditional cultural spirit of our country.
Regional scale prospectivity modelling of NW India for REE deposits associated with carbonatites and alkaline complexes

&amp;lt;p&amp;gt;The rare earth elements (REEs) are a group of seventeen metals including 15 lanthanides, scandium and yttrium. &amp;amp;#160;These metals have been projected to be critical for future industrial development. However, India currently does not have any economic grade primary deposit of REEs; all of India&amp;amp;#8217;s production comes from monazite-bearing beach sands along the eastern and western coasts that have been derived from REEs-enriched continental rocks such as pegmatites or carbonatites. This contribution documents a GIS-based prospectivity model for exploration targeting of REE associated with carbonatites and alkaline-complexes in the geologically permissive tracts of NW India comprising parts of western Rajasthan and northern Gujarat. A mineral systems approach is applied to model the key ingredients of an REE system including geodynamic setting; fertile mantle/crustal sources of REEs; deep to shallow crustal architecture; and REE deposition. &amp;amp;#160;This conceptual genetic model of REE mineral systems is, in turn, used to identify the key regional-scale REE-deposit targeting criteria in NW India. Regional-scale multi-parametric exploration datasets are processed to represent the targeting criteria in form of predictor GIS layers. Finally, an expert-driven fuzzy inference system is designed for delineating and raking prospective REE targets. Simultaneously, the stochastic and systemic uncertainties in the prospectivity modeling are modelled to delineated (a) high priority REE exploration targets areas with low uncertainty and high prospectivity for immediate ground follow up and (b) areas with high uncertainty and high prospectivity for further data acquisition in order to reduce uncertainty.&amp;lt;/p&amp;gt;
Practice-oriented approach to teaching mathematics

The article reveals the methodology for implementing practice-oriented activities of students in the study of mathematics in high school. A practice-oriented problem is formulated and its solution is given. Formulated in a practice-oriented task, the problem serves as the starting point for the formation of cognitive activity of students on the acquisition of mathematical knowledge and knowledge from other areas of scientific and technical thrust needed to complete the project.
Smart Feature Phones and Welfare in Poor Developing Countries

Introduced first in India a few years ago, a major innovation known as the smart feature phone has already brought the Internet to tens of million people in that country. It is affordable even to some of the poor in poor countries, such as those living in Africa, where it sells for around US$20. This price was made possible by a series of design changes, such as the use of open-source software, which distinguish the product from the much more expensive smartphones. Yet, in spite of the vast potential that the new technology brings to developing countries, the actual benefits that accrue to the poor citizens of those countries depend (especially in rural areas) not only on economic mechanisms, but also those of a cultural, social, as well as institutional kind. Such factors range from issues of relevance and localization, to linguistics, the form of communication (whether text or speech), and the extent of literacy and digital skills. What I find is that there are indeed cases where smart feature phones help to promote the degree to which the benefits from the Internet are realized by the poor. Because it substitutes voice for text, for example, Google Assistant allows even the illiterate to participate online and it also provides the highest number of local languages, in India, than any other competing voice-assistant. Then, there is the encouragement given to local developers to submit what one hopes will be locally relevant applications and content that includes live livestock tracking and mobile payments. In other areas, however, such as the severe lack of digital skills to operate the Internet effectively, far too little is being done by governments or private actors, though there are a few notable exceptions.
Common Parallel Patterns

Abstract When we are at our best as programmers, we recognize patterns in our work and apply techniques that are time proven to be the best solution. Parallel programming is no different, and it would be a serious mistake not to study the patterns that have proven to be useful in this space. Consider the MapReduce frameworks adopted for Big Data applications; their success stems largely from being based on two simple yet effective parallel patterns— map and reduce .
RETRACTED: Research on the Best Techniques of Piano Touching Keys Based on the Perspective of Musical Aesthetics under Computer Aided Technology

Abstract The development of piano art has always accompanied the constant innovation of piano playing technology. During the period of playing the ancient piano and plucking the ancient piano, the piano works were mostly fresh and smooth, and the playing methods were mostly finger movements. From the late 18th century to the early 19th century, the modern stringed piano replaced the plucked piano. Piano performance technology has developed to a certain level under computer-aided technology; and in today’s highly developed human art civilization, piano playing skills are more scientific, more innovative and mature. In this development process, the finger is always the part that directly touches the piano. The strength, sensitivity, speed and variable touch mode and control ability of the finger are the basis of the performance.
Pengembangan Modul Pembelajaran Interktif Pemrograman Dasar Bermuatan Model Pembelajaran Problem Based Learning untuk Memahamkan Konsep Pemrograman Siswa Kelas X Program Keahlian TKJ di SMK Cendika Bangsa Kepanjen

Based on the initial observation, students often encountered difficulties in understanding the programming concept that was explained by the teacher due to lack of interest and influence their conceptual understanding. This developmental research aimed to design, develop, and tested the feasibility of learning material to understand the concept of Basic Programming in the odd semester. This research used RnD model, involving research and information collecting, planning, develop a preliminary form of product, preliminary field testing, main product revision, main field testing, operational product revision, operational field testing, final product revision, dissemination and implementation. The feasibility test was performed to students from Class X TKJ at Cendika Bangsa Vocational High School who took Basic Programming subject. Based on the obtained data, the material validation test from experts was 92.14%, media test from experts obtained 93.00%, small group test was 91.96%, and field test obtained 93.61%. It could be concluded that Simulation Digital learning material was in very feasible category.
RETRACTED: Research on the Development Trend of Industrial Automation Control Technology Based on Big Data Analysis

Abstract Industrial production automation refers to the general term for measuring machinery and equipment or production process based on big data, information processing and process control without direct manual intervention according to big data. In the context of the gradual disappearance of China’s demographic dividend, supply-side structural reform has become an important focus of future policy intentions. Chinese manufacturing companies are gradually applying advanced technologies (such as human-computer interaction and intelligent machines) to the entire industrial production process to realize production automation and improve the overall productivity of industrial enterprises.
KEMAMPUAN MAHASISWA UNIVERSITAS KATOLIK MUSI CHARITAS DALAM MENGONVERSI TEKS

Indonesian learning is carried out with various learning approaches. One of them is text based language learning approach or what is known as genre based text/ genre approach. One form of learning implemented using this approach is the activity of converting texts. This research method is qualitative research. The research was carried out at Musi Charitas Catholic University with a population of 382 writings and a sample of 180 random samples was determined. The study was conducted with pen and paper based text, which provides writing texts to students studied. The students studied were asked to read the predetermined news text, analyze the topics contained in the news, then write a simple essay text based on the results of the analysis. The student's writing is then assessed by two people and the final grade is determined by calculating the average of the scores of the two assessors. The results showed 67.2% of students studied were able to convert text from news texts into simple essay texts. While there are 13% of students who do not change the structure of their writing so that it can be stated that the student has not / converted the text.
Study of dynamics of value systems of youth’s leaders under pedagogical conditions of value-motivational development

Presented is study in the problem of leadership in youth environment, in frames of which theoretical analysis of scientific works was conducted. The analysis showed, that the most actual in the present time is the value approach to leadership development for verification of which is experimental study is conducted. Results of the experiment showed dynamics of changes in values systems of both girls and boys during the period of conducting psycho-pedagogical program of values development. The analysis of experimental study results showed, that values orientations system of girls with high level of leader’s ability is oriented to social interaction, and values orientations system of boys with high level of leader’s ability is oriented to inner-group interests.
Candidate Feature Extraction and Categorization for Unstructured Text Document

In the phrases words contains crucial information which helps in feature extraction process. The established techniques for such has huge problem and has limitations in feature extraction process and also it ignores the grammatical structure for the phrases. So results as poor features get extracted. So to overcome this problem a system is proposed which is based on generation of parse tree for the input sentence and cut down into sub-tree subsequently. The branches of the tree are extracted using part-of-speech (POS) labelling intended for candidate phrase. To stay away from redundant phrases filtering is recommended. Finally machine learning is used for the Feature categorization progression. The result illustrates the effectiveness of the approach.