Reviewerly/exHarmony huggingface dataset:
Automated construction of bounded-loss imperfect-recall abstractions in extensive-form games

Extensive-form games (EFGs) model finite sequential interactions between players. The amount of memory required to represent these games is the main bottleneck of algorithms for computing optimal strategies and the size of these strategies is often impractical for real-world applications. A common approach to tackle the memory bottleneck is to use information abstraction that removes parts of information available to players thus reducing the number of decision points in the game. However, existing information-abstraction techniques are either specific for a particular domain, they do not provide any quality guarantees, or they are applicable to very small subclasses of EFGs. We present domain-independent abstraction methods for creating imperfect recall abstractions in extensive-form games that allow computing strategies that are (near) optimal in the original game. To this end, we introduce two novel algorithms, FPIRA and CFR+IRA, based on fictitious play and counterfactual regret minimization. These algorithms can start with an arbitrary domain specific, or the coarsest possible, abstraction of the original game. The algorithms iteratively detect the missing information they require for computing a strategy for the abstract game that is (near) optimal in the original game. This information is then included back into the abstract game. Moreover, our algorithms are able to exploit imperfect-recall abstractions that allow players to forget even history of their own actions. However, the algorithms require traversing the complete unabstracted game tree. We experimentally show that our algorithms can closely approximate Nash equilibrium of large games using abstraction with as little as 0.9% of information sets of the original game. Moreover, the results suggest that memory savings increase with the increasing size of the original games.
Pelanggaran Prinsip Kerjasama Studi Kasus Pada Wacana Kaiwa Nichijou Seikatsu Ni Miru Nihon No Bunka Dari Reading Tutor Homepage

Grice’s Cooperative Principle is an assumed basic concept in pragmatics, yet its interpretation is often problematic. The use of the word ‘cooperative’ seems to lead to a confusion between Grice’s technical notion and the general meaning associated with the lexeme cooperation, leading to what we term ‘cooperation drift’. We argue that these misinterpretations stem, in part, from the relocation of the Cooperative Principle from philosophy to linguistics. In order to access a meaning that is more representative of Grice’s view, it is necessary to see the writings on the Cooperative Principle and Conversasional Implicatures in the context of George Yule’s work as a whole. A close study of Grice’s writings shows the concept of cooperation to be peripheral to his thought: the recurring issues are the distinction between sentence-meaning and speaker-meaning, the idea of systematicity in language, and the centrality of rationality to human action. The research discussed about Cooperative Principle’s offense in kaiwa (conversation) in Reading Tutor Homepage. From 20 data, there are 5 offense of maxim of quantity, 7 data by maxim of quality, 2 data by maxim of relevance, and 6 data by maxim of manner. Keywords : cooperative principle, purpose, conversasional implicatures
EYE MOVEMENT BASED HUMAN COMPUTER SYSTEM TECHNIQUES

With the headway in innovation the quantity of registering gadgets that an individual uses is expanding and there is a need of quicker and non-meddling strategies for speaking with these gadgets. In such manner, eye development is a promising information mechanism for human PC cooperation. In this paper we talked about different eye following systems that can be utilized to discover the line of look of the client. We at that point examined a portion of the calculations that can be utilized to actualize these eye following systems. The principle point of this paper is to propose new applications using eye stare that are reasonable for standard client. These applications will upgrade the perusing experience of the client and make perusing a progressively euphoric assignment.
Monocular Visual Odometry Approach for Trajectory Estimation of a Moving Object Using Ground Plane Geometry

Trajectory estimation of a moving object using monocular visual odometry approach is an important research direction in computer vision. The moving object can be a car or a robot or anything which is carrying camera need to be tracked for autonomous navigation. Scale estimation of the translational motion is tedious in monocular visual odometry system. This paper proposes a new trajectory estimation algorithm in which Nister's 5-point algorithm is used as the baseline algorithm. We have adapted the method discussed in [1] for the scale estimation of trajectory with the additional input of camera height. Estimated scale is nothing but the ratio between the known camera height and the estimated camera height. The camera height shall be found by decomposing the Homography matrix. The proposed algorithm is tested with KITTI standard benchmark dataset [2]. Experimental results on KITTI dataset shows significant improvement in the trajectory estimation of moving object.
Impact of attitude towards digital usage on life satisfaction of middle age and older adults: Sequential Mediation analysis in online networking activity and digital information production⋅sharing activities

본 연구의 목적은 중고령자의 디지털 이용태도와 생활 만족도 간의 관계를 살펴보고, 온라인 네트워크 활동과 디지털 정보생산·공유활동의 직렬다중매개효과를 분석하고자 하였다. 연구의 주 목적을 달성하기 위해 Hayes(2013)의 PROCESS for SPSS Macro을 실시하였다. 연구결과는 다음과 같다. 첫째, 디지털이용태도와 생활 만족도는 통계적으로 유의한 관계가 있음을 확인하였다. 둘째, 중고령자의 디지털 이용태도가 온라인 네트워크 활동을 경유해 생활 만족도에 미치는 영향보다 디지털 이용태도가 온라인 네트워크 활동을 거쳐 디지털 정보생산·공유활동을 경유한 후 생활 만족도에 미치는 영향이 .0291단위만큼 유의하게 더 크다는 것을 알 수 있었다. 본 연구결과는 중고령자의 디지털 이용태도와 생활 만족도, 온라인 네트워크 활동, 디지털 정보생산·공유활동 간의 관계를 통합적으로 살펴봄으로써 중고령자의 디지털 이용 및 생활 만족도 제고를 위한 기초자료로 활용할 수 있다는 점에 의의를 가진다.The objective of this study is to examine the relationship between attitude in digital usage and life satisfaction level of the middle-aged people and older adults, and to analyze Sequential Mediation Effects of online networking activity and information producing and sharing in the online context. To achieve the main objectives, we conducted Hayeys’(2013) Process for SPSS Macro. The followings are the results of the study: First, there is a strong relationship between the attitude towards digital usage and the life satisfaction. Second, the results showed that impact of attitude in digital usage on life satisfaction among the older people is 0.291 unit higher, when they are engaged both in online networking activity and digital information production/sharing activities compared to involved in online networking activity alone. The results of the study is meaningful in that they can be used as a baseline data for reconsideration of digital usage and life satisfaction of the older adults, by providing comprehensive examination of relationship among attitude in digital usage, life satisfaction, online network activities, and digital information production·sharing activities of the older adults.
Penerapan Model Cased Based Reasoning Dalam Diagnosa Penyakit Menular pada Bayi di Rumah Sakit Cut Meutia

Information technology has developed very rapidly, especially in the health sector so that it can help doctors' performance in treating patients more effectively and efficiently. Technological developments in the health sector also from now on have started many new innovations, especially in curing infectious diseases in infants. infants at a young age are very susceptible to disease, especially infectious diseases. The disease is very dangerous for humans because it can be transmitted quickly through touch, saliva, air or other intermediaries. Limited information about infectious diseases, especially those that affect toddlers, is a problem and makes it difficult for parents to predict what diseases are affecting children. The purpose of this study is the existence of a model built with CBR can facilitate the steps of parents in diagnosing infectious diseases in infants; secondly, the existence of a system that is built can facilitate patients in monitoring the disease and the results used can be more measured by using a cased base reasoning model. Research methods collect data and information in the form of theories or methods or approaches that have developed and CBR models for infectious diseases in infants; the second is collecting infectious disease data in infants, symptom data, solution data and infectious disease prevention data in infants. The research results are that a model built with CBR can facilitate the steps of parents in diagnosing infectious diseases in infants and the existence of a system so that it can facilitate patients in monitoring disease and the results used can be more measured by using a cased base reasoning model.
An improved patch matching algorithm based on fireworks algorithm

With the development of technology, especially the rapid development of hand-held devices, it is more convenient to obtain video sequences, but the video quality still suffers from some issues, such as unwanted camera shakes and jitter. To address the issues, video stabilization techniques have been developed to obtain high quality and stable videos. Considering computational complexity and real-time requirements, patch matching, has become an important method for motion estimation and video stabilization. It transforms the video stabilization task into a minimum optimization problem. In this paper, we propose a novel patch matching method integrated with fireworks algorithm[1] for motion search, which is a novel swarm intelligence optimization algorithm. Inspired by the fireworks explode in the air, the established mathematical model can be formulated as a parallel explosive search method by introducing random factors and selection strategies, and thus developed into a global probability search method for solving the optimal solution of complex optimization problems. It has excellent performance and high efficiency in solving complex optimization problems. Experimental results show that the improved patch matching method based on fireworks algorithm has achieved better results, compared with the ones with traditional motion search algorithms.
Health monitoring of AC motors and auto detection of abnormal conditions (HMOAC)

In this paper, the system is designed for protection of AC motors from abnormal conditions. Proposed work for protection of motor from over voltage(OV), under voltage (UV), over current (OC), under current (UC), over frequency (OF), under frequency (UF), single phasing, voltage asymmetry, current asymmetry, phase reversal etc. Such protection will help to protect motor from faulty conditions. The performance of system investigated through MATLAB / SIMULINK. Microcontroller used for programming of all types of abnormal conditions so that it will detect the faulty condition and protect motor from it. Micro-controller programmed with some threshold values and it will compare with actual loading condition, which will send a signal to breaker to open/close as per the condition. Condition may be faulty or normal operating, if it is faulty then open breaker otherwise remains closed.
Functional Pearl: The Distributive $$\lambda $$-Calculus

We introduce a simple extension of the $$\lambda $$ -calculus with pairs—called the distributive $$\lambda $$ -calculus—obtained by adding a computational interpretation of the valid distributivity isomorphism $$A \Rightarrow (B\wedge C)\ \equiv \ (A\Rightarrow B) \wedge (A\Rightarrow C)$$ of simple types. We study the calculus both as an untyped and as a simply typed setting. Key features of the untyped calculus are confluence, the absence of clashes of constructs, that is, evaluation never gets stuck, and a leftmost-outermost normalization theorem, obtained with straightforward proofs. With respect to simple types, we show that the new rules satisfy subject reduction if types are considered up to the distributivity isomorphism. The main result is strong normalization for simple types up to distributivity. The proof is a smooth variation over the one for the $$\lambda $$ -calculus with pairs and simple types.
The Muses Labyrinth Beneath: Reproducing life inherent in musical form with architectural composition

My thesis explores on how to reproduce life inherent in the musical form with architectural composition. The beauty of music attributes to its high degree of life inherent in its holistic form, which is affective, adaptive and generative. In my research paper approach the quote I call architecture frozen music Johann Wolfgang Von Goethe in a metaphysical way. Relationship between form, composition and phenomenal experience are explained in terms of “flow” and “Bodies”. Space and time are understood in terms of virtual flowing force acting on bodies, that they are actualized as sounds in music and “frozen” as materialistic objects in architecture, affording our sensational experience. Composition, is understood as synthesizing of individual bodies with order into a holistic body, in which tensions are created by the differential relationship of its constituent bodies. Music, is the transitional interactions between our human bodies and the musical body actualized. While in architecture, “audiences” set their bodies into actions, empathizing with the frozen transitional form through time, synchronizing the physical body experience with the inner mental experience. My thesis design reflects on the shift of architecture experience from existentially plastic and spatial experience, to mere time-compressed striking visual image, with the loss of experiential depth, under the information age. As an inverted version of “allegory of the cave”, my building functions as an immersive labyrinth with ambiguity and mystery hidden beneath ground, affording a retreating experience to urban wildscape explorers. It fulfilled the timeless task of architecture as stated by Pallasmaa – “understand and remember the shapeless flow of reality and, ultimately, to recognize and remember who we are.” The building situates itself in Paris, at the intersection of the abandoned La Petite Ceinture, an urban wildscape experiencing the transition from ruin to regeneration, and the Parc des Buttes-Chaumont, where the histories of underground mining hidden beneath. The memories of two places intertwined at this counterpoint and synthesize into a frozen melody, as the body of the labyrinth. Though her body the labyrinth brings collective memories to present individual explorers. The spatial variations embodied promotes sequences of scenarios and potentials. Me as a composer, imagines different scenarios and interactions involving individual urban explorers as “audiences” or
Development of Intelligent Ceramic Motorized Spindle

Ceramic motorized spindle refers to motorized spindle some components of which are made of ceramic materials.
OAI-PMH y Linked Open Data en el contexto de Hispana y Europeana: algunas reflexiones históricas

espanolSe resume la gestacion y desarrollo de Hispana: Acceso en linea al patrimonio cultural sobre el protocolo Open Archives Initiative, y su evolucion basada en una estrategia del Ministerio de Cultura de Espana de convocar ayudas para el desarrollo de proyectos de digitalizacion normalizados. Se analizan brevemente los efectos de los cambios en la estructura de datos de Europeana y su reflejo en las instituciones de memoria europeas y espanolas. EnglishThis paper summarizes the gestation and development of Hispana, that provides online access to Spanish cultural heritage on the Open Archives Initiative protocol, and its evolution based on a strategy of the Spanish Ministry of Culture to grant the development of standardized digitization projects. It is analyzed the effects of the data structure of Europeana, Europeana Data Model, and its reflection in the European and Spanish memory institutions. Finally, the main problems of Hispana and Europeana as cultural heritage information systems are analyzed, especially from the point of view of the search interfaces, and the dissemination and visibility of cultural heritage in other areas such as education.
IMPLEMENTASI TEXT MINING PADA KLASIFIKASI ABSTRAK JURNAL MENGGUNAKAN ALGORITMA SUPPORT VECTOR MACHINE(Studi Kasus Jurnal Komputasi Ilmu Komputer Universitas lampung)

Jurusan Ilmu Komputer, Universitas Lampung menerbitkan Jurnal Komputasi yang ditulis oleh peneliti. Jurnal online ini belum terstruktur dan terklasifikasi ke dalam kategori keilmuan yang lebih khusus sehingga menyebabkan sulitnya pencarian informasi yang terdapat di dalam jurnal. 144 abstrak jurnal dikumpulkan menjadi satu dokumen korpus dalam format CSV yang digunakan sebagai dataset penelitian. Text mining digunakan untuk mengubah data jurnal menjadi terstruktur. Klasifikasi abstrak jurnal dilakukan menggunakan salah satu metode supervised machine learning yaitu Support Vector Machine agar proses klasifikasi lebih cepat dibandingkan dengan cara manual. Kata-kata pada abstrak diproses sebagai fitur menggunakan metode pembobotan TF-IDF. Model klasifikasi akan divalidasi dengan menerapkan teknik 10-fold cross validation. Dari klasifikasi tersebut akan dihitung ukuran performansi yang dihasilkan berdasarkan perhitungan confusion matrix. Hasil klasifikasi dataset menunjukkan ketidakseimbangan jumlah anggota kelas satu dengan yang lain. Hasil akurasi testing tertinggi pada proses klasifikasi ini diperoleh pada penggunaan 205 fitur dan kernel Linear SVM dengan nilai sebesar 58.3%.Kata Kunci: Text Mining, Supervised Machine Learning, Support Vector Machine, TF-IDF, 10-Fold Cross Validation.abstractComputer Science Departement, University of Lampung publishes journal that written by researchers. These online journals have not been structured and classified into more specific scientific categories, which makes it difficult to search for information contained in journals. 144 journal abstracts are collected into one corpus document in CSV format used as dataset. Text mining is used to transform data into a structured journal. Classification journal abstract performed using one of the supervised machine learning methods called Support Vector Machine so that the classification process is faster than the manual method. The words in the abstract are processed as features using the TF-IDF weighting methods. The classification model will be validated by applying the 10-fold cross validation technique. The classification will be calculated from the size of the resulting performance confusion matrix based calculation. The dataset classification results show an imbalance in the number of class members with one another. The highest accuracy of testing results in this classification process is obtained on the use of 205 features and SVM Linear kernel with a value of 58,3%.Keywords: Text Mining, Supervised Machine Learning, Support Vector Machine, TF-IDF, 10-Fold Cross Validation.
Motivasi dan Pencapaian Belajar Grammar Bahasa Inggris Melalui Hipnolearning Bagi Mahasiswa Tahun Pertama Pada Jurusan Bahasa Inggris

This research aims to explore the effectiveness of hypnolearning in learning English grammar and the students’ motivation during learning grammar. This study is an experimental research involving one class of Business English students by using dependent (paired) sample t-test.  The instrument used to collect data were tests of grammar and questionnaires for motivation data. Based on the research results, it was found that there was a significant differences between the mean of the students’ grammar knowledge before and after treatment that’s p-value 0,00 was smaller than significant level 0,05 (5%). This means that the hypnolearning was effective for the students for learning English grammar.  Besides, the students’ motivation in learning grammar during hypnolearning implementation was commonly strong. It may be caused by some factors namely lecturer’s personality, short story usage, visualization and refreshment.
Tecnologías de Información y Comunicación, Realidad Aumentada y Atención a la Diversidad en la formación del profesorado

In a ubiquitous and connected world of continuous change, educational institutions are reinventing themselves to incorporate new digital experiences into teacher training. To accomplish this, emerging technologies, such as Augmented Reality (AR), are visualized as educational responses to the realities of the moment. The aim of the research presented is to describe, analyse and interpret the training of Primary Education teachers in relation to Information and Communication Technologies and attention to diversity, and the application of augmented reality as an educational response. To this end, 20 subjects were interviewed (12 from the University of Barcelona, teachers and students; and 8 teachers from two primary schools). The results point to a clear invitation to question the current situation, to consider new educational policies, awareness and training in technologies and attention to diversity; the reformulation of the teaching and study plans of the Grade of Primary Education, betting on a basic and transversal training of inclusive education, and emerging technologies, such as RA, for the acquisition of digital teaching competence and the implementation of an inclusive system.
FORMATION OF COMMUNICATION CULTURE OF SCHOOLCHILDREN IN THE PROCESS OF GROUP WORK AT THE LESSONS OF PRIMARY SCHOOL

The authors of the article comment on the difficulties of the formation of communication culture among primary school pupils from the first days of training; explain the need for such educational work by the systematic use of new educational technologies at the lessons and in extracurricular activities of primary school pupils. It is represented the psychological and pedagogical prerequisites for the formation of communication culture from the point of view of cultural and communicative approaches to the organization of the educational environment. By means of the survey of primary school pupils and their teachers, the problematic moments of the organization of group work at the lessons are revealed. The researchers present the system of educational, cognitive and communicative situations for the formation of communication culture skills in the process of group work of pupils and comment on its productivity.
Use of Institutional Repository Software in Private Autonomous Engineering College Libraries of Andhra Pradesh

This work examines the issues related to use of institutional repository software among the private autonomous engineering college libraries of Andhra Pradesh. The paper tries to assess the purpose and scope of the use of institutional repository software in libraries. Andhra Pradesh had a total of fifty autonomous engineering colleges up to academic year 2018–19 as per UGC (https://ugc.ac.in/subpage/Autonomous_Colleges.aspx)1, out of which, five are government autonomous engineering colleges, and the remaining 45 are under private management. The forty five private autonomous engineering college libraries were selected for the study. Open form questionnaire was mailed to all the librarians for a free response in the respondents own words. The questionnaire related to resources available in the institutional repository software among the college libraries. Primary data were received from eight colleges on appointment visit, fifteen colleges sent it by post, eighteen colleges sent by e-mail and four colleges did not respond. The response rate was 91 percent. Out of 41 colleges only 13(31%) colleges were maintaining institutional repository software out of which 5 are using open source software, 8, in-house developed software and no one uses commercial software. The study suggests needful and helpful findings for librarians to make and implement institutional repository software in their colleges.