Reviewerly/exHarmony huggingface dataset:
Design and Development Autonomous Unmanned Aerial Vehicle Software

Unmanned aerial vehicles are the cutting edge technology which is used in various arduous applications and emergency scenarios. But human operators find it burdensome and experience a lot of physical and mental stress while operating the aerial systems in critical and emergency scenarios such as rescue operations, mine inspection, and surveillance. Our proposed idea is to provide the autonomous capability and features to these automatons by developing a mission-planning application that can autonomously guide UAV operations even in GPS denied environments by implementing SLAM (Simultaneous Localization and Mapping). With autonomous capability, aerial systems can help to plummet the stress on human operators or may even perform the process or mission efficiently without human intervention in numerous applications. Applications involving autonomous unmanned aerial systems have increased in recent times and are being applied in a wide range of fields such as infrastructure, transport, agriculture, mining, media, and transport. This paper covers the working of the autonomous navigation algorithm, artificially intelligent object detection algorithm and the mission planning API (Application Programming Interface).
Pengaruh Lingkungan Keluarga Dan Proses Pembelajaran Di Perguruan Tinggi Terhadap Literasi Keuangan (Studi Kasus Pada Mahasiswa Sekolah Tinggi Manajemen Labora)

This study aimed to analyze the influence of family environment and learning in college education toward financial literacy of Labora School of Manajemen students in Jakarta. This study uses a quantitative approach to comparative causal type. Based on the calculation of sampling using a purposive sampling method with Slovin formula obtained a minimum of 62 respondents so that the respondents get the final data. The method used is a survey method using a questionnaire given to students and answered by students and processed with a Likert scale. Data analysis techniques used are multiple linear regression. Based on the results of the analysis that has been done, the results show that the family environment, college learning has a positive and significant effect on financial literacy with a linear regression equation in this study formulated with Y = 2.054 + 0.419 X1 + 0.470 X2. The results of the study are partially family environment and learning in college education influence financial literacy and simultaneously family environment and learning in college education influence financial literacy.
Beyond Arrays with ArrayLists

Arrays are great at storing collections of values, but they have a lot of limitations. First, they can only hold items that are of the same type. Next, they have to be explicitly defined when they are created. Finally, they can’t be resized after they are created.
Fusion is great, and interpretable fusion could be exciting for theory generation: Response to Pater

From my perspective, Pater’s (2019) target article does a great service both to researchers who work in generative linguistics and to researchers who utilize neural networks—and especially to researchers who might find themselves wanting to do both by harnessing the insights of each tradition. The fusion of theories of linguistic representation and probabilistic learning techniques has certainly led to many interesting and valuable insights about the nature of both linguistic representation and the language acquisition process. However, I feel that the most exciting aspect of Pater’s article is the increasing interpretability of neural network models, especially when combined with insightsfrom the theoretical framework of generative linguistics. This allowsfor the possibility that neural networks could be used to actually generate new theories of representation. I describe how I think this theory-generation process might work with interpretable neural networks.
The impact of using SR-SIFT algorithm on various banknotes

Most commercial transactions are still done using physical currencies. Detection of fake currency can improve the reliability of ATMs and counting machines in order to ensure proper maintenance operations and confirm the value and authenticity of currency. Many paper currencies or banknotes are exposed to the presence of some problems, such as folding, rolling, and wrinkling. In this research, we study and analyse the impact of applying one of the currency recognition algorithms, which is speeded up robust scale invariant feature transform (SR-SIFT) algorithm in detecting the currency paper in the normal presentation and also in any troubles like rolled, wrinkled, or folded. The results show that the SR-SIFT algorithm can usefully recognise the currencies in a different situation with high accuracy.
An Fuzzy Lexical Research

The objective of this paper is to analyse the design and implementation of the fuzzy lexical analyser and observe how it is different from the traditional lexical analyser. It is known that lexical analysis is an important phase of a compiler. It reads the source program character by character and uses regular expressions, finite automata methods for string matching. Unlike traditional lexical analysers, tokens in fuzzy analysers belong to more than one token type with varying degree of membership. The paper exchange views on the design and implementation of fuzzy lexical analysers. It observes algorithms that handle errors due to insertion, deletion etc. in the lexical analysis phase of a compiler. Several properties of fuzzy languages are also reviewed. Hence this paper gives a comprehensive view of fuzzy regular languages, models and algorithms
Occurrence, Distribution and Ecological Risk Assessment of Toxic, Trace and Rare Earth Elements in Soils and Sediments of Active Dumpsites of Lagos State, Nigeria

The multiple uses of metals in several applications worldwide have steadily increased human exposure to these toxicants globally and are currently of ecological and public health concern. This study reported the occurrence and ecological risk assessment of 33 elements including toxic, trace, and rare earth elements from five selected dumpsites in Lagos state. A total of 195 soil and 72 sediment samples were collected, air-dried, sieved, digested using the autoclave method and analyzed with ICP-MS 7700 along with BCR 723 and NIST 2711a as reference materials. All the 33 elements determined in the dumpsites soil samples were detected except Be and Lu in soil samples from Abule-Egba dumpsite. Also, Be, Hg and Lu were not detected in Abule-Egba, Epe and Olusosun sediment samples. The concentrations of all the metals varied widely across the investigated sites with Abule-Egba dumpsite having the highest concentration of most of the metals analyzed and Epe dumpsite having the lowest concentration (being the newest dumpsite of all the sites investigated). The distribution pattern of the toxic elements in Abule Egba is Al&gt;Pb&gt;Ba&gt;Cd&gt;Sn&gt;V&gt;Ag&gt;As&gt;Th&gt;Hg&gt;Be. The geo-accumulation index showed that Abule-Egba soil and sediment were strongly polluted with Pb and As while the sediment was extremely polluted with Cr, Cu and Zn. Abule-Egba dumpsite poses high ecological risk as Cd, Cu, Ni, Zn and Cr were above the CCME (1999) guideline. The ΣRI showed that Abule-Egba dumpsite soil and sediment poses very high ecological risk which showed an increase by a factor of 3 and 14 for soil and sediment, respectively.
User Based Collaborative F ltering w ith Recursive Neural Network Prediction Model

Nowadays, with the enormous volume of online data, more consideration has been given to develop information driven recommender systems (RSs). Those schemes automatically guide consumers to discover services or movie with regard to their own interests from a huge set of possible choices. Most RS are employed to recommend the user based on their ratings and their preferences. Hence the existing RS provides very narrow recommendations and it restrict the user from accessing the different products. In this paper a novel Movie Recommender System with Cosine Similarity based Collaborative filtering and Recursive neural network MRS-CCR is proposed to the users based on the movie ratings. In the proposed RS the cosine similarity is utilized for determining the similarity among the users over the rated movies, which is employed to predict the rating of the unrated movie for each user through collaborative filtering. The Collaborative filtering (CF) is more successful recommendation methods because of its simplicity and accuracy. In the present work, matrix factorization technique is used for collaborative filtering. The obtained outcome of collaborative filter is fed into the Recursive neural network which is based on tanh activation function. The Recursive neural network predicts the recommended movies to the user. The outcome of the Recursive neural network is used for constructing the confusion matrix for evaluation. The experimental outcome of MRS-CCR is related to existing system on error and accuracy metrics. The proposed MRS-CCR has the accuracy of 95.53% better than the existing RS.
ФОРМИРОВАНИЕ ИНСТИТУТА ПРОФЕССИОНАЛЬНЫХ ОБЪЕДИНЕНИЙ СПЕЦИАЛИСТОВ ДОШКОЛЬНОЙ СФЕРЫ В ПРОЦЕССЕ ТРАНСФОРМАЦИИ МОДЕЛЕЙ ОБУЧЕНИЯ ПЕДАГОГОВ

The paper reveals the features of the teacher training model in the context of the transformation of the professional development system based on the legal framework and educational environment of the region. Consideration is given to an approach to constructing a multilevel educational environment based on the establishment and development of the institute of professional associations and the “best to peer” mechanism of the model of pre-school education of specialists in the professional development system to enhance the methodological aid and support of the professional activity. Materials and methods. Based on the comparative approach, the characteristics of the teacher training models in the professional development system are briefly presented, and social and demographical profiles of pre-school specialists in the region are specified. The study addresses the approach to establishing and developing the institute of professional associations of pre-school specialists in the framework of the law “About the status of pedagogical specialists engaged in the pedagogical activity in the Ulyanovsk region,” considering the region-specific features. Results of the research. The transformation of teacher training models in the professional development system involved the development of an approach, which entails the construction of the multilevel educational environment based on the establishment and development of the institute of the professional association of the pre-school specialists based on the legislative framework and regional specifics. It is also necessary to mention the “best-to-peer” mechanism characterized by variability and flexibility of the content, forms and methods of learning, and interaction of teachers at the professional development courses and within the methodological activity based on various digital platforms with no formal learning deadlines. Conclusion. The paper has proposed the approach and “best to peer” mechanism based on the establishment and development of the institute of professional associations of pre-school specialists, which factors in the legislative framework and region-specific educational environment. The central goal is to improve the methodological assistance and encourage a teacher to construct an individual professional path to achieve the quality of the educational activity.
The Attitude of Indonesian Learners in Tertiary Level toward Spoken English and its Learning

The aims of this study were to discover if the learners of English of UM English Education Department of UM Parepare experience problems in speaking English and if so, why, and what type of attitudes they have towards accents and how these attitudes influence their English speech. This study is a qualitative phenomenological research based on the linguistic phenomenon among Indonesian English learners derived from their learning experiences. The phenomenon in question shows that most Indonesian learners have learned English for 6+ years but still unable to communicate. Most of those learners complained about the ‘obsolete’ method of teaching which has been too focused on grammatical learning and fewer interests on the practical use of English itself. The data was taken from document reviews, in-depth interviews, and direct observation given to the importance of spoken English learning attitude. The findings obtained through interview and question on three level of scholars (fresh year students, sophomores and more senior students, and alumnus). The result of this study showed that most of students get difficult to speak English because of avoiding mistakes and error. This attitude of making mistake was derived from the social pressure situation in pronouncing their accent through the English words. Another finding is, there are many of students have some negative attitudes towards the Indonesian accent in pronouncing English words.
Pro Defender – Discern Spiteful Description in Social-Network-Based Online Advertising

on-line easygoing institutions frequently set up coins vital capacities by way of empowering using valid just as automatic money. They spherical out as sparkling out of the box new levels to have an collection of business practices as an instance, on-line advancement events, where customers can get automated bloodless difficult cash as repayments by way of taking a premium such occasions. each OSNs and furthermore partners are essentially concerned while attackers device a variety of data to accumulate digital money from these fairs, which make those festivals needless and motive big cash related adversity. it's far the future of fantastic incentive to proactively recognizing these hurtful reviews previously the on the net progression practices and moreover thusly decline their necessity to be rewarded. on this paper, we recommend a novel shape, specifically ProGuard, to obtain this goal by means of efficaciously coordinating features that portray bills from three points of view together with their essential systems, their empowering codecs, and the usage of their dollars. we've done huge assessments depending upon data assembled from Tencent QQ, an all inclusive riding OSN with inferred coins related administration works out. take a look at consequences have honestly confirmed that our structure can accomplish a excessive revelation tempo of 96.67% at a low false fine fee of zero.3%.
Sharing and Analyzing Data to Reduce Insurance Fraud

Insurance fraud is a multi-billion-dollar problem. Fraudulent practices occur frequently and often repeatedly. Fraud can be detected and prevented if appropriate data is collected, analyzed and shared among insurance companies.Methodology:Appropriate decision support and analytics can be developed to routinize fraud detection. Creating these decision support capabilities involves addressing managerial, technological, and data ownership issues.This article examines these issues in the context of using new data sources and predictive analytics to both reduce insurance fraud and improve customer service. Results:Evidence suggests that appropriate sharing of proprietary company data among industry participants and combining that data with external data, including social media and credit history data, can provide advanced data-driven decision support.Conclusion:Cooperative development and deployment of predictive analytics and decision support should reduce insurance costs while improving claims service. A process model is developed to encourage discussion and innovation in fraud detection and reduction..
Novel Pipelined Scalable Systolic Multiplier Based on Irreducible All-One Polynomials

A planned productive structure issued for the systolic execution of authoritative based limited field duplication over G F(2 m) in light of final 56-bit AOP is proposed in this work. We extricated a recursive increase calculation and utilized it to plan an intermittent and confined piece level reliance outline (DG) for systolic registering. The intermittent piece level DG is changed into a very smal grained DG, and the pipe coating is utilized for snappier mapping into a parallel systolic design. It doesn't require any overall correspondences for measured decline, in contrast to most current developments. The suggested bit-parallel systolic structure is similar to the parallel systolic structure, however the quantity of registers is altogether lower.
PECULIARITIES OF STUDENTS’ EDUCATIONAL MOTIVATION

This article describes the features of the structure of educational motivation of students of 1st and 4 th courses. The study showed that the learning motivation of students is characterized by a fairly high level of cognitive interest, interest in learning, creative self-realization and the desire to become a competent specialist. However, changes in the structure of learning motivation are observed during the training. So for fist-year students there is a high level of interest, the need for self-development, the idealization of the educational process and training, besides, a high orientation towards the external attractiveness and prestige of the chosen profession. While fourth-year students are characterized by a more realistic view of the diffiulties and peculiarities of studying in higher education institutions, they are mainly focused on development and self-realization in professional terms, therefore, they are characterized by a decrease in educational and cognitive motives. Firstyear students act as more active and active in relation to educational and cognitive activity; they rely on their expectations and ideas about the profession they have chosen and about their studies at the university. While fourth-year students are already less reliant on their ideas about the profession, they saw from the inside how the learning process goes, and imagine what their profession will be like. By this time, fourth-year students may refuse the profession chosen four years ago, search for themselves in other specialties, or vice versa, seek and try themselves in professional activities. The results obtained can be a guide to action regarding the formation of such learning conditions that will contribute to the creative development and professional realization of students.
Enhanching Students’ Writing Achievement Through E-Mail Exchanges on Personal Letter

The objective of this study was to find out whether or not there is any significant differences between teaching writing the eight grade students by using e-mail exchanges and those who are not. The method of this study was quasi experimental non-equivalent control group design. The total number of population was 278 students. The sample was class VIII.1 and VIII.2 were classified into two groups, experimental and control group. The data were collected through test. The test was writing test, namely pretest and posttest, and the results were analyzed by t-test by helping SPSS (Statistical Package for the Social Sciences), the data were obtained from the pretest of the experimental group. The pretest was given before giving the treatment, and posttest after the treatment. It The writing test was about personal letter written by the students based on one of topics that they preferred. Based on the data analysis, the mean score of the posttest in the experimental group is 43.7500 and the mean in the control group is 25.9659. It means the mean score of the posttest in the experimental group is higher than the mean in the control group. The result of independent sample t-test shows that t-obtained is higher than the critical value of t-table is 16.780 &gt; 1.664. It could be concluded that there is any significant improvement in personal letter writing between the students who are taught by using E-mail exchanges and those who are not.
Message from the ISMAR 2019 Science and Technology Program Chairs and <i>TVCG</i> Guest Editors

In this special issue of <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">IEEE Transactions on Visualization and Computer Graphics (TVCG)</i> , we are pleased to present the <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">TVCG</i> papers from the 18th IEEE International Symposium on Mixed and Augmented Reality (ISMAR 2019), held October 14–18 in Beijing, China. ISMAR continues the over 20-year long tradition of IWAR, ISMR, and ISAR, and is undoubtedly the premier conference for mixed and augmented reality in the world.
Grievances Redressal Mechanism of University’s Students in India- Policy and Law

This research paper is based on analysing the grievances of students studying in Universities and the way they are handled. After analysing various books, websites, Acts, reports of committees, articles and case laws on the subject, it is found that the grievances of students may include issues related to admissions, withdrawal from the Course, ragging, attendance, debarring from appearing in exams, non-issuance of admit cards, unfair marking, delayed results, issuance of degree and mark sheets, harassment and discrimination on basis of caste, race, religion or sex etc. But due to weak regulatory mechanism coupled with autonomous behaviour of Indian Universities, the grievances of University’s students are not properly addressed. The legal safeguards become essential. We have seen that after ragging was declared an offence, the cases dropped intensely. However, Laws can help to prevent, but not cure. Supreme Court in its decisions observed that it is the duty of teachers to take such care of the pupils as a careful parent would take of his children and they should conduct himself more like some Rishi and also as loco parentis. Further, the educational institutions and the civil society should take sufficient measures for the safety, security and equality. The civic learning is the need of hour and should be an integral component at each and every level of system of education. Many countries have in place proper civic learning at school as well as in higher education. For instance, USA have specially designed courses, while Some others have a civic education in all courses with themes of inequality, diversity, religious oppression, racism, sexism, classism and the like. Having the widened diversity in India, we badly require a similar structure in our system of education.
Filter-based Denoising Methods for AWGN corrupted images

He is the author of 31 books, including several on computer security, forensics, and cryptography.His books are used at over 60 universities.He has also authored scientific papers (over 70 so far) on digital forensics, machine learning/AI, cyber warfare, cryptography, bio-engineering, and applied mathematics.He is an inventor with 22 computer science patents.He holds a Doctor of Science (D.Sc
Pengaruh E-Learning Terhadap Efektivitas Perkuliahan Mahasiswa Fakultas Ilmu Sosial Universitas Negeri Padang

E-Learning method influences the effectiveness of lectures at Fakulty of Social Sciences, Padang State University. E-Learning variable has positive and significant effect on the effectiveness of lectures at Faculty Social Sciences, Padang States University aggregate 66.7%. Based data of respondents in Faculty of Social Sciences there are as many 6 majors, that is the division of geography, education civics, administration public, sociology and Islami education . The data of the majority of respondents were 50 men while woman were 46 people. So the total respondents were 96 people. Therefore the result of the E-Learning implementation variable show that the E-Learning variable is the good category.