Reviewerly/exHarmony huggingface dataset:
Image Detector Based Automatic 3D Data Labeling and Training for Vehicle Detection on Point Cloud.

Nowadays, a large amount of labeled data is crucial for deep neural network training. However, data labeling is still a time- and labor-consuming task, especially when labeling 3D point clouds. Meanwhile, object recognition has achieved great success on 2D images, even beyond the ability of humans. In this paper, we propose an effective framework to produce labeled data by using an image detector as a supervisor, and we train the network with a simple trick to eliminate noisy labels. For object-sparse scenes, this method is able to obtain good label data, while for object-dense scenes, we can use our training method to detect some of the corrupted labels. This is realized by building a cohesive camera and LiDAR system (named “Licam”) and performing target frustum region proposal on point clouds using the camera detection result. Efficient and effective vehicle detection is achieved based on this learning and training framework. We examine this method on the KITTI dataset [7] and our own road running data collected from a micro electro mechanical system (MEMS) LiDAR, demonstrating fast and accurate detection results. The results show that our automatic data labeling and training framework is effective and efficient. It provides the ability to obtain large-scale labeled data, and is easy to use for online learning.
A QUASI EXPERIMENTAL STUDY TO ASSESS THE EFFECTIVENESS OF STRUCTURED TEACHING PROGRAM ON KNOWLEDGE REGARDING UMBILICAL CORD BLOOD BANKING AMONG BASIC B.SC. NURSING STUDENTS OF SELECTED NURSING COLLEGE IN JAMMU

Until recently umbilical cord and the placenta was discarded as medical waste after delivery. Hematopoietic stem cells(HSCs) are multi-potent stem cells, derived from bone marrow and peripheral blood. These HSCs are also present in umbilical cord blood. Umbilical cord blood (UCB) is a good source of hematopoietic stem cells that is equivalent to those found in the bone marrow. After delivery, umbilical cord blood can be collected and cryopreserved which can be used later. The stem cells in cord blood can grow into any type of cell especially blood and immune system cells, due to its multi-potent nature. These HSC are accepted method of treatment for various blood cell disorders, cancers, genetic diseases, immune disorders and metabolic disorders. Clinical trials are underway for neurological disorders,diabetes, auto-immune disorders and for some cardio vascular problems. So far worldwide more than 30,000 cord blood transplantations were done successfully. AIM: Aim of the study is to enhance the knowledge of basic B.Sc. Nursing students regarding umbilical cord blood banking who are studying in Rajiv Gandhi College of Nursing, Jammu. MATERIALS AND METHODS:An evaluative approach with one group pre-test, post-test design was used for the study. The sample consisting of 50 Basic B.Sc. Nursing students, they were chosen by convenient sampling technique. The study was conducted at Rajiv Gandhi College of Nursing, Jammu. The data was collected prior and after the structured teaching program by a structured questionnaire. RESULTS AND CONCLUSION: The overall mean knowledge score is 23.96 obtained by the subject in post-test was higher than mean knowledge score 9.42 obtained in pre-test and with the improvement score as 14.54. The results of the study revealed that the structured teaching program was significantly effective in improving the knowledge of students regarding umbilical cord blood banking. Hence the study concluded that the improved knowledge regarding umbilical cord blood bankinghelps the students to grow constantly, to be more advanced in medical research like what are the different benefits and use of stem cells derived from umbilical cord blood and thus attempts will be made by these students to educate the society about umbilical cord blood banking through different methods.
Oscillation of meteorological trends and future scenario across southern Nigeria

This study examines the comprehensive precipitation trend and temperature trends across six locations in southern Nigeria using 1971 to 2010 monthly data obtained from the Nigeria meteorological agency (NIMET).Spatio-temporal variation of monthly rainfall was examined across the region.Non-parametric Mann Kendall method was used to investigate the monthly, seasonal and annual rainfall and temperature trends across this region.The analysis of rainfall revealed a most significant increasing trend in most of the locations with few decreasing trends.Likewise, a significant increasing trend was observed in temperature indicators.Decadal wise percentage of rainfall with the occurrence of the deficit and excess rainfall years were also examined.Rainfall was forecast till the year 2050 using Fourier analysis method.The result showed the increasing trend rate of rainfall oscillating between 0.046mm/year and 0.29mm/year in this region.This suggests increasing expected flood in southern Nigeria.
The Use of Debating Activities to Improve Student's Speaking Skill

Speaking skill is one of important elements in English. The teacher can see the process of students in studying English by seeing their speaking skill. The purpose of this research is to find out whether debating activities can better improve the students’ speaking skill. This reseach was conducted at the third year students of STIKes YPAK Padang. This research used action research. The researcher collected data from test, observation and interview. It was found that the students’ speaking skill by using debating activities could better improve than before the research was conducted. The researcher found that the average score of the pre test was 48,1. The everage score in the first cycle was 51,4. So, the result score from pre test to cycle 1 was a little improvement. Then the everage score in the second cycle was 70,3. In the second cycle there was good improvement in speaking. In short, debating activities could improvement the students’ speaking skill at the third year students of STIKes YPAK Padang.
Problems of Reading Comprehension In Learning Chinese As A Second Language Among Undergraduates of Chinese Studies in Nnamdi Azikiwe University, Awka, Nigeria

Several Chinese language teaching and learning centres are being established in Nigeria and around the world. There are Chinese government-funded institutions such as the Confucius Institutes in addition to Chinese language courses being taught through universities, colleges, private institutions as well as individual tutoring services. Learning a second language involves physical, intellectual and emotional commitment in order to successfully understand and interpret linguistic messages. However, certain problems could hinder understanding while learning a second language like Mandarin (Chinese Language). This study investigated the problems of reading comprehension in learning Chinese as a second language in Nigeria among students of Chinese Studies Department in Nnamdi Azikiwe University, Awka. Schemata theory of reading comprehension was employed as the theoretical framework of this research. The study surveyed fifty (50) Chinese Studies students by administering copies of questionnaire on them. Findings of this study revealed that the major problems students face in the study of Chinese language as foreign language are lack of adequate knowledge of Chinese vocabularies, reading stress and anxiety, wrong reading habits and lack of adequate infrastructures for reading. This study suggests that the government, the university authorities and language schools should provide adequate reading facilities to aid proper reading comprehension. Also, the language students should be counselled in order to diagnose their reading problems for appropriate solution.
Local Visual Homing Navigation Using Gradient-Descent Learning of Haar-like Features

The autonomous mobile technology of mobile robots has been developed. Visual navigation is one of non-trivial problems and it has been tackled with biologically inspired models. Especially, ant navigation system inspires robot navigation. The visual cell structure of ants was modeled with Haar-like features. Those features can be obtained with computationally efficient process. In this paper, we handle visual homing navigation where an agent is supposed to return home after exploration in the environment. We apply a learning process based on gradient-descent algorithm to estimate the homing vector at an arbitrary position of a mobile agent. Our approach is simple but very effective to find the homing vector and its performance is better than the conventional algorithm. From our results, the Haar-like features in the snapshot images are sufficient to estimate the homing vector.
Coattention-Based Recurrent Neural Networks for Sentiment Analysis of Chinese Texts

Sentiment analysis aims to predict user’s sentiment polarities of a given text. In this study, we focus on the sentiment classification task on Chinese texts, which are highly relevant in many online customer services for opinion monitoring. Recently, Recurrent Neural Networks (RNNs) perform very well on solving the classification problem of sentences. Compared with other languages, Chinese text has richer syntactic and semantic information, which leads to form an intricate relationship between words and phrase. In this paper, we propose a Coattention-based RNN for analyzing the sentiment polarities of Chinese short texts, in which the bidirectional RNN with the input word embedding is applied to learn representations of context and target, and coattention mechanism could obtain more effective sentiment feature. In the last, results on two public datasets demonstrate the superiority of our proposed methods over the state-of-the-art methods.
UCSMNLP: Statistical Machine Translation for WAT 2019

This paper represents UCSMNLP's submission to the WAT 2019 Translation Tasks focusing on the Myanmar-English translation.Phrase based statistical machine translation (PBSMT) system is built by using other resources: Name Entity Recognition (NER) corpus and bilingual dictionary which is created by Google Translate (GT).This system is also adopted with listwise reranking process in order to improve the quality of translation and tuning is done by changing initial distortion weight.The experimental results show that PBSMT using other resources with initial distortion weight (0.4) and listwise reranking function outperforms the baseline system.
THE ESSENCE OF THE PHENOMEN OF PROCRASTINATION: FUNCTIONAL AND DYSFUNCTIONAL ASPECTS

The relevance of the article is justified by the study of procrastination as a personal construct. The theoretical analysis of scientific works devoted to the study of passive (dysfunctional) and active (functional) types of procrastination is carried out. The criteria used by researchers as a basis for differentiation of procrastination on varieties are outlined. The essential differences in the display of cognitive, affective, motivational and behavioral dimensions of these forms of the concept under study are revealed. The consequences of different types of procrastination for the individual are characterized.
Aplikasi Rekapitulasi Suara Yang Diperoleh Calon Legislatif Pada Pemilihan Umum

General Election is a democratic party held every 5 (five) years. General elections are held to elect state officials from the President, Regional Head and Legislative Members. There are so many people who really want that position because of the huge income, luxurious facilities and high social level. Many people are willing to spend large amounts of money in order to be able to occupy these seats. This is because each candidate must get a large number of people's votes so that the candidates cannot work alone in order to gain votes. And if the election has arrived and the people have chosen, then the legislative candidates will try as soon as possible to find out whether they will be elected or not. The basis for the vote calculation is form C1 which is the result of manual recapitulation at the polling station (polling station). This form is very much even reaching thousands of files. The problem is that it is difficult and takes a long time if we have to count thousands of sheets and want to see the number of votes and voice mapping in the Electoral District (Electoral District) manually. Therefore, the researcher tried to make an application that could facilitate candidates for legislative candidates in carrying out vote counting. With this application it will be easy and fast in knowing the number of votes obtained. With this application, Legislative candidates will find out whether they can be elected or not. And the conclusion of this discussion is how a technology in the world of computers will greatly help candidates for the legislature to cut time and get detailed information about the votes obtained.
Optimization of Application of Genetic Algorithm Using C4.5 Method to Predict Breast Cancer Disease

Cancer is a big challenge for humanity. Cancer can affect various parts of the body. This deadly disease can be found in humans of all ages. However, the risk of cancer increases with age. Breast cancer is the most common cancer among women, and is the biggest cause of death for women. Then there are problems in the detection of breast cancer, causing patients to experience unnecessary treatment and huge costs. In a similar study, there were several methods used but there were problems due to the shape of nonlinear cancer cells. The C4.5 method can solve this problem, but C4.5 is weak in terms of determining parameter values, so it needs to be optimized. Genetic Algorithm is one of the good optimization methods, therefore the parameter values ??of C4.5 will be optimized using Genetic Algorithms to get the best parameter values. The results of this study are that C4.5 Algorithm based on genetic algorithm optimization has a higher accuracy value (96%) than only using the C4.5 algorithm (94.99%) and which is optimized with the PSO algorithm (95.71%). This is evident from the increase in the value of accuracy of 1.01% for the C4.5 algorithm model that has been optimized with genetic algorithms. So it can be concluded that the application of genetic algorithm optimization techniques can increase the value of accuracy in the C4.5 algorithm.
Measurement of the Impact on the Usability of an iPad Game Developed with a Design Guide Built by Children

Aim/Purpose: This research is a comparative test between two Human Computer Interaction (HCI) design approaches - Apple versus one informed by child users. Background: There are studies concerning the creation of graphical interfaces for kids, however, they do not involve them in the design process. On the other hand, operating systems such as Apple or Android impose their graphic guidelines designed only for a general outlook. Methodology: The research has a scope of exploratory nature, with a mixed approach. For the measurement of usability, tests were developed to determine the degree of efficiency, effectiveness, and satisfaction generated in two versions of the same game. Children between six and eight years of age were targeted for this test. Contribution: This research compares two design guides to determine which one is better to develop games for children. Findings: This study concluded that the design guide elaborated by children allowed the building a more efficient, effective, and satisfactory game because the total usability percentage was 89.84%. This percentage was much higher than that obtained using the generic Apple guide, where the percentage of total usability obtained was 78.72%. Recommendations for Practitioners: Using design guides to develop games for children helps to increase the level of usability for them. Recommendation for Researchers: These design guides can be used for other devices that have different operating systems as guidelines to develop games for children. Impact on Society: The future generations of game developers that focus on games for children can take into account the following guidelines to create games that children will enjoy more. Future Research: Perform usability tests with users of different ages, for example children, adolescents, and adults. It is also suggested to take into account mobile devices with Android operating system.
ILLOCUTIONARY ACTS ON PRESIDENT OBAMA’S ELECTION NIGHT SPEECH

The research design of this study is descriptive qualitative. The data sources of this research are “Transcript of President Obama’s Election Night Speech” which is taken from the internet. The transcript is written by Federal News Service. This paper merely focuses on analyzing the most dominant types of Speech Actss on Transcript of President Obama’s Election Night Speech. This Transcript File of Federal News Service is analyzed by the perspective of Searl’s theory. From the analysis of audio file entitled “Transcript of President Obama’s Election Night Speech” it can be found four types of Searle’s illocutionary actss: Directive, commisive, representative and expressive. There are 33 data of illocutionary actss which consist of : 3 data are the type of Directive: 3 data showing request, 12 data of the type of Commisive: ten data is showing a promising and 2 data showing offering,11 data of the type of Representative: 7 data showing of asserting, 1data showing of concluding, and 1 data showing describing. 8 data of the type of Expressive: 7 data showing the thanking and 1 data showing apologizing. From the classification of the data, it can be seen clearly that the type of commisive is the most dominant. This was used since the President as a speaker want to declare the promising about future America during the reign in front of American people.
Kesiapan Penerimaan Kepala Sekolah terhadap Teknologi Google Docs: Studi Kasus Pelatihan Calon Kepala Sekolah Dasar Kabupaten Ngaawi

&lt;em&gt;One of the technology-based applications cloud computing introduced to the participants of primary school principals education training is theapplication Google Docs. Use ofapp technology Google Docs or known Google Docs is causing a reaction on the user himself, namely in the form of acceptance and rejection. The acceptance of a technology is strongly influenced by the readiness of the users of the technology. This study aims to examine whether the participants of the candidate head sekolaj SD Kabupaten Ngawi already have the readiness and acceptapplication technology Google Docs for individual task completion when On The Job Learning in school alone and a second internship. The model used to describe the relationship that factors affect the readiness and usage of theapplication Google Docs is the Technology Readness Index (TRI) on Technology Acceptance Model (TAM) by the method research using factor analysis on SPSS software version 18.0. The result variable self-ability to computer and variable of readiness that is optimistic and innovation have an effect on signifikan to variable of acceptance.&lt;/em&gt;
Precision measurement of angle using digital speckle pattern interferometry

A non-contact and non-cooperative method of angle measurement based on digital speckle pattern interferometry (DSPI) was introduced in this paper. Studies have shown that when the illumination angle of the DSPI system was every small, the angle can be determined according to the interferometric phase distribution and the length of the measured object. Thereby a direct relationship between the angle and the phase distribution was established. In our experiments, the resolution of measurement system was 0.00025&deg; ( 0.9”), proving that the proposed method is effective for measuring small angles. Theoretically, this method can achieve higher resolution if the measurement noise can be minimized.
Postgraduate Support as the Condition for Graduates’ Dedication to the Profession

The urgency of this research is caused by the need of the modern education system for the dedication of psychology, defectology and pedagogy graduates to educational organizations in the country and by immature theoretical, methodological, substantive and technological aspects of the process of postgraduate support. The purpose of this article is introduction of the analysis of university graduates’ support and the description of its psychological-acmeological model. Theoretical analysis, empirical research methods (employment monitoring, questioning), modeling method were chosen as the basic research methods in this work. In the article, the psychological-acmeological model of postgraduate support is introduced. It includes three interrelated blocks: 1) goal-oriented, 2) organizational and developing 3) evaluating and resulting. Besides, the features of these blocks are revealed and the algorithm of the model introduction is developed. The model sets out to support the graduates’ professional becoming, form future specialists’ steady motivation for personal professional development, prepare for professional activity and personal professional self-development, and make students adapt to the profession.
A Colour Perception Detection Model Based on The Spectral Characterictics

&lt;p&gt;&lt;em&gt;Information needs for one's color perception are needed in the fields of medicine, engineering, astronomy, biomedicine and so on. The demand for accurate assessment of color perception must be met by the perception detection tool used. Ishihara's test, as a perception detection tool that is still used today has insufficient accuracy. This research aims to create a system that can detect a shift in one's color perception, relative to the average color perception of a number of respondents. Through plotting the respondents' perception points, in the CIE coordinate system (Commission International de I'Eclairage) XYZ can be calculated the average euclidean distance, ED, relative to the reference point and the distribution of x and y groups of perception points around the point of reference. Both size, euclidean distance and distribution are used as indicators of average color perception so that an assessment of one's color perception is given based on the results of comparison between color perception points and color perception indicators. The tool used to do the test is Delphi version 7.0 software. the research material used is the RGB (Red, Green, Blue) color image format. The results of a person's color perception study are divided into three levels, namely: (1) "normal" assessment if euclidean (ED) perceptions are smaller than the euclidean (ED) average (2) the "somewhat normal" assessment if the distribution of x and y is smaller rather than the color of perception and the distribution of x and y (3) the assessment is "abnormal" if the color of perception is greater than the max distribution of x and y. A new perception point assessment that is in level one is used to up-date prevailing perception indicators. Up-dating condition constraints affect the quality of the threshold average perception specifically and the quality of the results of the perception detection system in general.&lt;/em&gt;&lt;/p&gt;
Method for Texture Mapping of In-Vehicle Camera Image in 3D Map Creation

Method for texture mapping of in-vehicle camera image in 3D map creation is proposed.Top view of ground cover targets can be mapped easily.For instance, aerial photos, high spatial resolution of satellite imagery data allows creation of top view of ground cover targets and also map creation.It can be used for pedestrian navigations.On the other hand, side view of ground cover targets is not so easy to obtain.In this paper, two methods are proposed.One is to use acquired photos with cameras mounted on the dedicated cars.The other one is to use high spatial resolution of satellite imagery data, such as IKONOS, Orbview, etc. Through experiments with the aforementioned two methods, it is found that texture mapping for the ground cover targets can be done with the two proposed methods in an efficient manner.