Reviewerly/exHarmony huggingface dataset:
Task-adaptive Pre-training of Language Models with Word Embedding Regularization

Pre-trained language models (PTLMs) acquire domain-independent linguistic knowledge through pre-training with massive textual resources.Additional pre-training is effective in adapting PTLMs to domains that are not well covered by the pre-training corpora.Here, we focus on the static word embeddings of PTLMs for domain adaptation to teach PTLMs domain-specific meanings of words.We propose a novel fine-tuning process: task-adaptive pre-training with word embedding regularization (TAPTER).TAPTER runs additional pretraining by making the static word embeddings of a PTLM close to the word embeddings obtained in the target domain with fastText.TAPTER requires no additional corpus except for the training data of the downstream task.We confirmed that TAPTER improves the performance of the standard fine-tuning and the task-adaptive pre-training on BioASQ (question answering in the biomedical domain) and on SQuAD (the Wikipedia domain) when their pre-training corpora were not dominated by indomain data.
A Survey on Contactless Gesture based Interactions

Gesture Based Interaction is the mathematical interpretation of human motion by a computing device. Contactless Gesture Based Interaction with devices aims to offer new possibilities to interact with machines thereby enabling development and design of far more natural and intuitive interactions with computing machines. The system makes use of static and dynamic gestures in order to perform operations on a system. This paper provides a detailed review on contactless systems which facilitates a better means of interaction between humans and machines.
Empirical Regularization for Synthetic Sentence Pairs in Unsupervised Neural Machine Translation

UNMT tackles translation on monolingual corpora in two required languages. Since there is no explicitly cross-lingual signal, pre-training and synthetic sentence pairs are significant to the success of UNMT. In this work, we empirically study the core training procedure of UNMT to analyze the synthetic sentence pairs obtained from back-translation. We introduce new losses to UNMT to regularize the synthetic sentence pairs by jointly training the UNMT objective and the regularization objective. Our comprehensive experiments support that our method can generally improve the performance of currently successful models on three similar pairs {French, German, Romanian} English and one dissimilar pair Russian English with acceptably additional cost.
Transformers for Headline Selection for Russian News Clusters

In this paper, we explore various multilingual and Russian pre-trained transformer-based models for the Dialogue Evaluation 2021 shared task on headline selection.Our experiments show that the combined approach is superior to individual multilingual and monolingual models.We present an analysis of a number of ways to obtain sentence embeddings and learn a ranking model on top of them.We achieve the result of 87.28% and 86.60% accuracy for the public and private test sets respectively.
Solar Tracking using Arduino

Solar energy is one of the most popular renewable energy sources. In this era, every country is trying to push its boundaries for more efficient renewal energy source. Every nation is concerned to minimize their carbon emission especially the develop countries like USA, Europe, Japan etc. Energy is everyone’s need and clean source of energy is important for no pollution. Solar trackers has been gaining popularity all around the world because of its maximizing efficiency of solar energy. Solar trackers have simple mechanism and easy to operate. It is able to track the sun in the sky for maximum sunlight throughout day. Sun is an ultimate source of energy to the earth and also a green source of energy. It is important and can wisely use to solve our energy crisis. Solar trackers can be best alternative to this. The power generated by panels can be used for domestic works and the rest can be transferred to the grid for energy distribution. The hardware of this project can be implemented by using few components like LDR (Light Dependent Resistor),motor, Arduino microcontroller and battery. .There are so still many villages that do not get any electricity supply. This project help to provide electricity in rural areas.
The Panel Data Analysis to Identify the Factors Affecting Turkish Currency Assets of Foreign Deposit Banks

With the implementation of free market economy in Turkey starting from 1980, restrictions on foreign capital flows began to be abolished. Within the scope of international expansion in financial aspects, steps for integration with global financial markets were taken, and regulations were made. Accordingly, the number of foreign banks in Turkish banking system have increased since 1980, and reached an important scale in the sector. The share of foreign deposit banks’ total assets in the entire banking sector is at 22,8% level as of 2019. In this study, panel data analysis was performed to identify the factors affecting the Turkish currency assets of foreign deposit banks. The 11-year data for the 2009-2019 period were utilized in the study. Turkish Currency Assets / Total Assets was determined as the dependent variable in the analysis. The factors affecting the Turkish currency assets of foreign deposit banks were identified as Turkish Currency Liability / Total Liability [TPYUK], Turkish Currency Deposits / Total Deposits [TPMEV], and Turkish Currency Loans / Total Loans [TPKREDI]. Based on the study results the model formed was significant, and the ratio of independent variables for explaining the dependent variable in the model was approximately 48%. The independent variables TPYUK and TPKREDI were revealed to have a statistically significant positive effect on the dependent variable at 5% significance level. A 1-unit raise in TPYUK increased the dependent variable by 0,436 unit, and a 1-unit raise in TPKREDI by 0,033 unit. No statistically significant effect of TPMEV as the other independent variable was identified on the dependent variable.
Pedagogical expediency of using computer technologies in the process of teaching Mathematics in a humanitarian university

The article reveals the problem of teaching Mathematics in humanitarian higher educational institutions that teach students in the context of new educational standards and reducing the time allocated for research in this discipline. The results of the introduction at the university of an educational and methodological complex based on a combination of contact work with students and distance learning methods supported with modern systems. The article confirms the need of finding effective ways of organizing the learning process, reviewing the structure and careful selection of the content of students’ training in Mathematics. The scientific novelty of the research is a factor that determines the pedagogical expediency of achieving the ability to use the means of computer technology in the educational process in Mathematics in universities.
Urban Garden Greening and Ecological Environment Construction

Under the guidance of sustainable development and other concepts, urban construction pays more attention to the creation of a green and livable environment. The construction of urban landscaping and ecological environment is closely related to the happiness and health of urban residents, and it is also related to the overall ecology of our country. Based on the concept of green and environmental protection, this article first analyzes the significance of the city's landscaping and ecological environment construction, and then explores the construction strategy based on the construction status of this aspect.
Heisenbot: A Rule-Based Game Agent for Gin Rummy

Games are an excellent tool for undergraduate research in artificial intelligence because they typically have clear objectives, a limited action space, and well-defined constraints. Nonetheless, games involving chance and imperfect information offer unique challenges for optimizing gameplay. In this paper, we analyze one such card game, gin rummy, and propose an artificial intelligence player based on empirically driven strategies. Our approach separates gameplay into three disjoint policies for drawing, discarding, and knocking. On each turn, decisions are influenced by offensive considerations as well as defensive moves. Tournament-style simulations enable us to determine statistically which combination of policies achieves the highest win rate. Our resulting player, dubbed Heisenbot, is competitive against strong baseline strategies.
Managerial Vectors Of Vocational Training Of Schoolchildren For Blue-Collar Occupations

The relevance of the problem of vocational training is determined by the targeted, addressed, and directed policy of the state to orient schoolchildren towards blue-collar occupations, which is reflected in the federal state educational standard for secondary education.The purpose of our study is to develop and test managerial mechanisms that ensure the orientation of high school students to the professions in demand in the Chelyabinsk region and allow schoolchildren to get the profession of a worker as part of an integrated basic educational program of secondary general education.The article presents a description of the managerial strategy in the form of integration.The managerial strategy includes several stages: diagnostic (analysis of various statistical data), design (development of the basic educational program of general education and vocational training for the Forester profession, an integrated basic educational program of secondary general education), and implementation stage (implementation of the integrated educational program).The data obtained show the effectiveness of the implemented integrated educational program and its dynamically positive indirect influence on the quality of education.The implementation of such an integrated program allows us to define this managerial practice as effective and non-stencil mechanisms for organizing vocational training of schoolchildren for blue-collar occupations.
Bit Plane Slicing, Wavelet and Polynomials Mixing for Image Compression

This paper introduced a hybrid technique for lossless image compression of natural and medical images; it is based on integrating the bit plane slicing and Wavelet transform along with a mixed polynomial of linear and non linear base. The experiments showed high compression performance with fully grunted reconstruction.
Synthesis of Search Heuristics for Temporal Planning via Reinforcement Learning

Automated temporal planning is the problem of synthesizing, starting from a model of a system, a course of actions to achieve a desired goal when temporal constraints, such as deadlines, are present in the problem. Despite considerable successes in the literature, scalability is still a severe limitation for existing planners, especially when confronted with real-world, industrial scenarios. In this paper, we aim at exploiting recent advances in reinforcement learning, for the synthesis of heuristics for temporal planning. Starting from a set of problems of interest for a specific domain, we use a customized reinforcement learning algorithm to construct a value function that is able to estimate the expected reward for as many problems as possible. We use a reward schema that captures the semantics of the temporal planning problem and we show how the value function can be transformed in a planning heuristic for a semi-symbolic heuristic search exploration of the planning model. We show on two case-studies how this method can widen the reach of current temporal planners with encouraging results.
Feature based Phishing Website Detection using Random Forest Classifier

In today’s world, one of the most vulnerable security threat which poses a problem to the internet users is phishing. Phishing is an attack made to steal the sensitive information of the users such as password, PIN, card details etc., In a phishing attack, the attacker creates a fake website to make the users click it and steal the sensitive information of users. . In this paper, we propose a feature-based phishing detection technique that uses uniform resource locator (URL) features. This paper focuses on the extracting the features which are then classified based on their effect within a website. The feature groups include address- bar related features, abnormal- based features, HTML – JavaScript based features and domain based features. We plan to use machine learning and implement some classification algorithms and compare the performance of these algorithms on our dataset.
Choosing the Initial State for Online Replanning

The need to replan arises in many applications. However, in the context of planning as heuristic search, it raises an annoying problem: if the previous plan is still executing, what should the new plan search take as its initial state? If it were possible to accurately predict how long replanning would take, it would be easy to find the appropriate state at which control will transfer from the previous plan to the new one. But as planning problems can vary enormously in their difficulty, this prediction can be difficult. Many current systems merely use a manually chosen constant duration. In this paper, we show how such ad hoc solutions can be avoided by integrating the choice of the appropriate initial state into the search process itself. The search is initialized with multiple candidate initial states and a time-aware evaluation function is used to prefer plans whose total goal achievement time is minimal. Experimental results show that this approach yields better behavior than either guessing a constant or trying to predict replanning time in advance. By making replanning more effective and easier to implement, this work aids in creating planning systems that can better handle the inevitable exigencies of real-world execution.
Persepsi Komunikasi Visual Terhadap Media Promosi BRT (Bus Rapid Transit) Trans Jateng Koridor Purwokerto - Purbalingga

Bus Rapid Transit (BRT) is one of public transportation modes in Purwokerto-Purbalingga that has a visual communication element as form as transit ads for a tourism promotion media. This study aims to analyze public perceptions in terms of the effectiveness of visual communication of the promotional media. This study uses a Likert scale to assess and ANOVA to analyze the results. The results of the study indicate that the perception criteria are based on demographic factors, especially gender and job type. Men and women have different perspectives regarding the visual communication design that is applied in BRT. This study also illustrates that the expected promotion of the community as general is increasingly diverse. Promotion is expected not to be limited to tourism promotion, it is also possible to promote culinary, batik promotion, and invitations to use public transportation to campaign to prevent corrupt behavior.&#x0D; Keywords: perception; promotion media; visual communication; bus rapid transit; Purwokerto-Purbalingga.
Improving Performance of Hardware Adaptive Filter

An adaptive filter (AF) is a digital filter that has a transfer function that changes based on changes in the surroundings. Adaptive filters can adjust their weights using cost functions similar to a neural network. Implementation of the adaptive filter in hardware allows it to have higher speed (Consumes lesser number of clock cycles) and hence also saving on power. A regular Digital Signal Processor (DSP) may also be employed to do the same but it will never come close to the performance of dedicated hardware. An improvement in this said hardware will directly boost the performance of all use-cases. Simulation of the existing design gives an idea of the current data flow and architecture. Exploring different potential improvements in design and then weighing the outcome gain vs effort to add the functionality is done. An improvement is chosen and implemented. Once it does the intended functionality, It is profiled to see the improvement in performance. A large Filter task is divided into multiple threads. These are executed sequentially. In the current design, a thread has 3 status registers to indicate whether it’s in progress, pending, next. A scenario in which a certain thread needs to be canceled, it can only be done if the thread is not already in progress, which will lead to wasted clock cycles. Hence the ability to stop a thread executing midway will save those clock cycles.
Web Scraper Utilizes Google Street view Images to Power a University Tour

Due to the outbreak of the Covid-19 pandemic, college tours are no longer available, so many students have lost the opportunity to see their dream school’s campus. To solve this problem, we developed a product called “Virtourgo,” a university virtual tour website that uses Google Street View images gathered from a web scraper allowing students to see what college campuses are like even when tours are unavailable during the pandemic. The project consists of 3/4 parts: the web scraper script, the GitHub server, the Google Domains DNS Server, and the HTML files. Some challenges we met include scraping repeated pictures and letting the HTML dropdown menu jump to the correct location. We solved these by implementing Python and Javascript functions that specifically target such challenges. Finally, after experimenting with all the functions of the web scraper and website, we confirmed that it works as expected and can scrape and deliver tours of any university campus or public buildings we want.
Training on making learning videos using OBS studio

The Covid-19 pandemic has changed many things. Likewise, the world of information technology is developing so rapidly. The lesson is, when these two conditions meet, it will have an impact on the acceleration of the process of adopting information technology in all lines of life, including the world of education. Like it or not, the teachers have to prepare materials and an online learning process. One of them is using the OBS Studio application. The implementation method of the service includes lectures, demonstrations, exercises / practices, mentoring, and questions and answers. The result of the training activity was an increase in participants' understanding of using OBS Studio to make communicative and easy videos so that they could support online lectures during the Covid-19 pandemic.
THEORETICAL ASPECTS OF MONITORING MARITITME STUDENTS` LEARNING ABILITIES IN 1960-1980 YEARS

The article deals with theoretical aspects of monitoring cadets` learning abilities in 1960-1980 years. The author states that in this period the traditional system of control was characterized by the lack of objectivity. The reasons for the subjectivity of the assessment system in the publications of those years were not associated with the lack of standardized control means, but with the ambiguity of learning objectives and the requirements for the levels of knowledge acquisition. Scientists proposed various ways to improve control, based on the introduction of learning outcomes, typology of knowledge, special performance indicators, usually too subjective and contrived to be really useful in the learning process. Basically, these approaches were suitable only for testing the simplest levels of educational activities and did not affect the creative levels of its implementation. Depending on the type of training programs the special methods of checking and correction of learning outcomes were used in the programmed training. Since there were no effective methods of using pedagogical tests and skills in their development in programmed control, the simplest types of learning abilities were tested, the tasks were simplified and involved the choice of one or more ready-made answers, and hidden psychological components of learning, understanding the material, logic of cadets, communicative abilities remained outside the scope of tests.
أثر التقنية في الحكم الشرعي للبتكوين في ضوء العلاقة بينها وبين سلسلة الثقة

Due to the rapid transformation of the digitization era, we witness the emergence of some products in conjunction with the transformation. Especially, from the financial perspective, Bitcoin is one of the most remarkable examples of digital cryptocurrencies based on blockchain. The research problem of this study revolves around the concept of blockchain and its impact on the Shariah ruling for Bitcoin. Thus, this study aims to analyze the relationship between blockchain and cryptocurrencies to address the impact of Shariah ruling in digital technologies. To obtain the objectives of this research, a descriptive and inductive analysis approach is adopted. The findings of the study show that blockchain technology is worthy of benefits while it has advantages as well as disadvantages that require to be resolved. The Shariah ruling of blockchain depends on its applications, and it (Shariah ruling) varies from case to case since it is a tool and open source for all. In addition, considering the strength of technology and its advantages does not suffice to consider that technology being permissible from the Shariah perspective.
Implementation of the Fisher-Yates Shuffle Algorithm in Exam-Problem Randomization on M-Learning Applications

Many schools are currently using conventional approaches in learning material deliveries and examination methods. Conventional examination processes referred to here are the provision of question sheets in paper form. They have several drawbacks, such as students cheating and a waste of paper printing costs. To overcome these problems, we propose an online examination system. The online system leaves students to work on a different question set from other students. The feature is made possible by applying a randomization algorithm. There are several algorithms for scrambling questions, one of which is the Fisher-Yates Shuffle algorithm. This study aims to ease schools in the implementation of quality exams that may find out the level of student understanding of study materials and reduce the risk of cheating. The research product works on Android smartphones, which may be attractive to students and schools. The product allows schools to hold quality exams and reduce paper costs.
RANCANG BANGUN APLIKASI MEDIA PEMBELAJARAN SISTEM KOMPUTER BERBASIS MOBILE

Learning media is something that is used to stimulate the mind, attention and appetite of students so that it can encourage the learning process of students. Learning media applications are made based on mobile with the aim to make it easier for students to learn the material and make it easier for students to learn wherever and whenever, especially on computer system lessons. The software used in making this learning media application is Android Studio as a tool and Adobe Photoshop as a design. This learning media application is very helpful for students who miss lessons or forget about old lessons. With the development of current technology, the learning process has begun to shift from a manual process to a more sophisticated process that is using learning media applications. The method in making this application uses the waterfall method. This waterfall method is a sequential design process, often used in software development processes, such as the water process that plunges down through the Conception, Initiation, Analysis, Design, Construction, Testing, Production / Implementation, and maintenance phases. From the problems and methods produced a learning media application to facilitate students in understanding the material. This application is expected to be a learning medium and can be useful for teachers, students and advanced researchers.Keywords: Learning media, Computer Systems, Applications, Android Studio, Waterfall