Reviewerly/exHarmony huggingface dataset:
REST: Performance Improvement of a Black Box Model via RL-Based Spatial Transformation

In recent years, deep neural networks (DNN) have become a highly active area of research, and shown remarkable achievements on a variety of computer vision tasks. DNNs, however, are known to often make overconfident yet incorrect predictions on out-of-distribution samples, which can be a major obstacle to real-world deployments because the training dataset is always limited compared to diverse real-world samples. Thus, it is fundamental to provide guarantees of robustness to the distribution shift between training and test time when we construct DNN models in practice. Moreover, in many cases, the deep learning models are deployed as black boxes and the performance has been already optimized for a training dataset, thus changing the black box itself can lead to performance degradation. We here study the robustness to the geometric transformations in a specific condition where the black-box image classifier is given. We propose an additional learner, REinforcement Spatial Transform learner (REST), that transforms the warped input data into samples regarded as in-distribution by the black-box models. Our work aims to improve the robustness by adding a REST module in front of any black boxes and training only the REST module without retraining the original black box model in an end-to-end manner, i.e. we try to convert the real-world data into training distribution which the performance of the black-box model is best suited for. We use a confidence score that is obtained from the black-box model to determine whether the transformed input is drawn from in-distribution. We empirically show that our method has an advantage in generalization to geometric transformations and sample efficiency.
Degeneracy removal of the left and right quantum discord in an inhomogeneous magnetic field

The effects of the inhomogeneous magnetic field on the quantum discord of the thermal state of a two-qubit isotropic Heisenberg system is investigated. The results show that the inhomogeneity of the magnetic field could remove the degeneracy of the left and right quantum discord. The results of this paper are important for the process of quantum state preparation
Analisis Eksploratori Tweet Saham Studi Eksploratori Twitter IDX (@IDX_BEI)

Purpose- The purpose of this research is 2, that is, exploration in utilizing microblogging twitter data to obtain stock market sentiment attribute, secondly, finds the attribute of Indonesian stock market sentiment from twitter Indonesia Stock Exchange @IDX_BEI.&#x0D; Methods- This research is an exploratory study with longitudinal data. In exploratory research, the data used are primary data obtained by collecting Twitter social network account tweets, tweet samples are determined based on the period span July to December 2016.&#x0D; Finding- This research has obtained the stock market sentiment attribute obtained from @idx_bei, but the results are still minimal because the tweets delivered in @idx_bei are still general regarding IHSG and IPO only.
Sadašnji i budući izazovi odgoja u obrazovanju

Intellection of upbringing in the global context of science that deals with theoretical and practical research in the field of upbringing and education at all levels has brought about a revival. Traditional teaching, which pays more attention to education and less to upbringing, has led to a partial diminishing in the importance of upbringing at higher levels of education, especially in a university context. Various translations of works from other languages into English, often translating upbringing as education, also contributed to this. In order to give upbringing a place it deserves in the university teaching, and to equate it with education in a university context, we considered social forms as potential preconditions for “returning” the presence of upbringing activities to the university level. By looking at this issue through the teaching process, it was important to emphasize the contribution of pedagogy workshop to encouraging the upbringing function of teaching. We have distinguished the pedagogy workshop from other social forms because participation in it equally affects the sensory, emotional, and moral functions of all participants in the teaching process (and not just intellectual ones), which were important in the research of the role of upbringing. Previous research has shown that creative university teaching contributes to fostering the educational role of teaching and helps self-actualization, which is beneficial for all participants in the teaching process.
A single target tracking algorithm based on Generative Adversarial Networks

In the single target tracking field, occlusion leads to the loss of tracking targets is a ubiquitous and arduous problem. To solve this problem, we propose a single target tracking algorithm with anti-occlusion capability. The main content of our algorithm is to use the Region Proposal Network to obtain the tracked target and potential interferences, and use the occlusion awareness module to judge whether the interfering object occludes the target. If no occlusion occurs, continue tracking. If occlusion occurs, the prediction module is started, and the motion trajectory of the target in subsequent frames is predicted according to the motion trajectory before occlusion. The result obtained by the prediction module is used to replace the target position feature obtained by the original tracking algorithm. So we solve the problem that the occlusion causes the tracking algorithm to lose the target. In actual performance, our algorithm can successfully track the target in the occluded dataset. On the VOT2018 dataset, our algorithm has an EAO of 0.421, an Accuracy of 0.67, and a Robustness of 0.186. Compared with SiamRPN ++, they increased by 1.69%, 11.67% and 9.3%, respectively.
Cloud Computing Enabled Data Center Infrastructure Development and Deployment by IT Firms

Cloud computing has become an active area of research over the last decay to date.It is the collection of inter-networking of computers that are dynamically and seamlessly provisioned as resources based on end-user demand.Presently, researches in cloud computing are mainly based on its architectural framework, utilization of algorithms to manage its computational and storage resource provisioning to end-users, and the integration of cloud with fog computing as well as the Internet of Things.Despite the increasing rate of deploying cloud in various aspect of human endeavor (e.g.health, manufacturing, smart cities, and agriculture, etc.), little or no attention have been given to the Information Technological (IT) industrial firms that develop and deploy cloud data center platforms.Therefore, this research paper aims to investigate the aforementioned issue as part of its contribution to the systematic literature review.Hence, to support researchers who are determined to explore this research area.The main objective of this paper is to systematically identify and analyze the existing IT firms, capable of developing and deploying cloud data center platform to companies and Cloud Service Providers (CSPs) concerning their functionalities, capabilities in terms of the level of expertise and experience.The grounded theory research methodology is adopted to systematically actualize the research aim which is based on five steps namely the background information about cloud computing, collecting useful information from potential IT firm's websites and conducting a semi-structured interview on their personnel.Thereafter, the retrieved information is ordered using the triangulation technique to speed up the analysis phase.Also, current challenges as stated by some IT firm personnel are presented in this research paper and end with concluding remarks.
Challenges for Developing Navies to Adopt Industry 4.0

The rapid advancements in microprocessors has enhanced the computational power available on the desk top, enabling a paradigm shift in the way Researchers are handling large amount of data, developing newer algorithms to gain a deeper understanding of the subject matter as well as thinking and performing tasks that could never be imagined by mankind couple of decades ago. 3D additive printing; robotics - soft and hard; increased autonomous operations; Big data analytics; Internet of Things; Cyber Physical Systems; Artificial Intelligence; Machine Learning; Nanotechnology; Augmented and Virtual Reality; Exoskeleton; Cloud computing; Predictive maintenance; Advanced materials etc are the results of exponential rise in computational power, collectively known as Industry 4.0. Adoption of industry 4.0 across different industrial domains is now encroaching upon design, building, operation and maintenance of both commercial and naval ships. This paper intends to examine the adoption rate in advanced navies and look at the challenges faced by the developing navies, (especially in the Indian context), in their readiness for industry 4.0. The challenges could be education and training of human resources; industry support; local culture and mindset - within the navy and outside the navy; Cyber Security; Data storage; Data Privacy and confidentiality etc.
Core Urdu Vocabulary for Chines Business Community in Pakistan , A Corpus-based Perspective

With the dawn of 21st century, the world has grown into a global village and the need for inter-communal interactions has also increased many times. Urdu language is said to be one the third biggest language of the world along with Chines and English and its speakers are constantly on the rise. With the emergence of the CPEC (China Pakistan Economic Corridor), Urdu has assumed ever increasing importance due to the geo-political and geo-economic condition of the south Asian region. The undertaken study is a systematic attempt in this regard to work out a list of most frequent words of the Urdu language for the Chinese business community in Pakistan. Schmitt (2000) asserts that that learning a non-native vocabulary is a continual process as the core vocabulary should encompass the ever changing linguistic needs of the time. The name of the Urdu corpus for the undertaken research is urTenTen that has been compiled from internet data. The corpus belongs to TenTen corpus family that is corpora of the web with more than ten billion words. The corpus has been tagged according to Unified Parts of Speech (POS) Standard in Indian Languages. In order to process data, “sketch Engine” has been used. List of frequent words for the Chines Business Community has been retrieved from urTenTen corpus with the help of sketch engine. The retrieved list of core Urdu vocabulary is supposed to be useful for the Chines business who are supposed to interact with the Urdu speakers of the region.
Verifiable Privacy-Preserving Data Aggregation Protocols

Homomorphic encryption allows computation over encrypted data, and can be used for delegating computation: data providers encrypt their data and send them to an aggregator, who can then perform computation over the encrypted data on behalf of a client, without the underlying data being exposed to the aggregator. However, since the aggregator is merely a third party, it may be malicious, and in particular, may submit an incorrect aggregation result to the receiver. Ohara et al. (APKC2014) studied secure aggregation of time-series data while enabling the correctness of aggregation to be verified. However, they only provided a concrete construction in the smart metering system and only gave an intuitive argument of security. In this paper, we define verifiable homomorphic encryption (VHE) which generalizes their scheme, and introduce formal security definitions. Further, we formally prove that Ohara et al.'s VHE scheme satisfies our proposed security definitions.
Pengaruh Kualitas Produk Kerudung Rabbani terhadap Tingkat Kepuasan Konsumen Di Kota Bandung

Bandung is the center of Muslim fashion in West Java even at the national level. This causes intense business competition in the world of Muslim fashion. To that end, an important role that must be performed by a company is to prioritize product quality and product innovation as a basis for attracting customer so that customer can feel satisfaction from the quality of the products produced. According to Google trends Rabbani trends also experienced a decline in customer interest in the purchasing Muslim fashion. And the results of distributing pre-research questionnaires obtained 70.45% or 31 people were disappointed with the quality of their muslim fashion, this resulted in customer not satisfied with the Rabbani. This study aims to determine how the quality and innovation of Rabbani products to customer satisfaction in the city of Bandung. According to Garvin (1987) there are eight dimensions to test product quality variables, namely performance, features, reliability, conformance, durability, serviceability, aesthetic and perceived quality. Customer satisfaction is measured by three dimensions, namely overall quality, customization and reliability. The study was conducted using quantitative methods. The sampling technique using non-probability sampling techniques and questionnaires were distributed to Rabbani customer in Bandung as many as 150 respondents. Analysis of research data using SEM PLS (Partial Square Structural Equation Modeling) with SmartPLS 3.0 software. the results showed that product quality and innovation had a significant effect on customer satisfaction
Factors Affecting Listening Comprehension

Students who enroll in the English Department are taught by the lecturers by using English. Therefore, the skill of listening is the main and the most important aspect needed to figure out teacher’s meaning. Relating to students listening comprehension, they encountered some difficulties. Thus, the aim of this study is to find out what factors affect students’ listening comprehension in the English Department of Syiah Kuala University. This study was conducted at English Department of Teacher Training and Education faculty of Syiah Kuala University. 20 Seventh semester students of English Department were selected as sample of this study. The method of this study was a quantitative descriptive study. The writer used a questionnaire which consist of 43 questions as an instrument of this study. The result of questionnaire become the main data of this study. The data was calculated by using statistical formula. The result of this study revealed that the most dominant factor affecting students’ listening comprehension skill was physical setting factor, 32%out of 100% followed by failure to concentrate factor (23%), content of Listening text factor (20%), Psychological characteristic factor (19%), speaker factor (14%), listener factor (10%), and linguistics feature (9%) lastly. Therefore, it is recommended for head office of English Department of Teacher Training and Education Faculty of Syiah Kuala University to upgrade the equipment used to conduct listening activity.
An Evaluation of a Chat-oriented Dialogue System that Remembers and Uses User Information over Multiple Days

A chat-oriented dialogue system can become more likeable if it can remember information about users and use that information during a dialogue. We propose a chat-oriented dialogue system that can use user information acquired during a dialogue and discuss its effectiveness on the interaction over multiple days. In our subjective evaluation over five consecutive days, we compared three systems: A system that can remember and use user information over multiple days (proposed system), one that can only remember user information within a single dialogue session, and another that does not remember any user information. We found that users were significantly more satisfied with our proposed system than with the other two. This paper is the first to verify the effectiveness of remembering on the interaction over multiple days with a fully automated chat-oriented dialogue system.
Study of omnidirectional mobile electric wheelchair for handicapped children's early movement experience

Children with impaired motor function may be difficult to move on their own. Our research group prototypes an Omni-directional mobile electric wheelchair that has high degree of freedom and can move close to the movement of healthy people and offers it to children with disabilities. However, we must consider that there are individual differences in the operating abilities of children. Therefore, in order to compensate for individual differences and to further enhance the mobile experience, we are working on the development of “operation support function” that supports children’s operation.
Development of shape-based average head-related transfer functions and their applications

Three-dimensional (3D) audio reproduction systems incorporated into a set of headphones are growing in popularity alongside the evolution of virtual reality (VR)/augmented reality (AR) technology. In this paper, some applications of binaural 3D audio systems will be presented. Game audio is one of the application fields for binaural 3D audio systems. We have developed a binaural 3D audio system for game development. When applying the binaural 3D audio system to games, it is necessary to solve the problem of calculation load. Therefore, we developed a hybrid system of virtual loudspeakers and object sound sources. In addition, the problem of timbre change was highlighted. Meanwhile, 360° video is another potential application field for 3D audio. In conventional binaural systems, it is difficult to express ambient sound sources such as the sound of rustling leaves. Our system has made it possible to reproduce ambient sound sources by combining higher-order ambisonics (HoA) and head-related transfer functions (HRTFs).
Weighted Description Logic for Classification Problems

We summarise the definitions and some technical aspects of a familiy of description logics that introduce concept constructors (so-called tooth-operators) which, under various constraints, accumulate weights of concepts. We demonstrate how these operators can be fruitfully and elegantly applied to a number of cognitively motivated classification problems which are difficult to handle with the standard expressive means of description logics.
IMPLICATION OF ENGLISH VOCABULARY INSTRUCTION TROUGH PICTURES FOR ELEMENTRY STUDENTS

Vocabulary instruction in elementary students differs from other level of education.It aims to empower them understand English vocabulary related to their surroundings.This study focuses on the implication of vocabulary instruction in elementary students through pictures.The use of pictures initiate and activate students' curiosity on topic.This study focuses on the use of pictures in learning vocabulary to elementary students.The data collection technique was in the form of observation and field note in one of state Elementary School (SDN) in Surabaya.The study found that picture game is useful to empower students' in learning English vocabulary.In addition, students are able not only to write the words correctly, but also to construct simple sentence.This study provides suggestionto integrate picturesin learning vocabulary.
A Comparative Study on the Effect of Digitalization Versus Live Demonstration on Normal Delivery Skill Among B.Sc Nursing Students of Selected College of Nursing in Kolkata, West Bengal

The investigator conducted a study to compare the Digitalization versus Live Demonstration on Normal Delivery Skill among B.Sc Nursing Students of Selected Nursing Colleges, Kolkata, West Bengal. Setting was in College of Nursing, Medical College and Hospital, Kolkata. The conceptual framework used was Ludwig Von Bertalanffy System Model. Experimental study with two group Pre - test and Post - test design was adopted. The participants were 28 fourth year B.Sc Nursing Students who were selected by random sampling method. A valid reliable tool for structured interview schedule (inter-ratter r=1) and observation checklist (Chronback’s alfa=0.72) was used for data collection. Mean difference, SD, SEMD & t value of Pre- test and Post-test practice score of digitalization group were (51.5, 56.6), 5.1, 4.2, 1.16, 4.25(t df(13)=2.16. p<0.05, significant) respectively. Mean difference, SD, SEMD & t value of Pre- test and Post- test practice score of live demonstration group were (54.3, 66.1), 11.8, 5.3, 1.47, 7.86(t df(13)=2.16. p<0.05, significant) respectively. The Live demonstration was effective in terms of gain in skill on normal delivery which was evident from ‘t’ value, t=4.32 (t df(26)=2.06. p<0.05, significant). Live demonstration was more effective than digitalization teaching method on normal delivery skill. The study has implications in the field of nursing education and practice by continuing education towards skill birth attendant. In Nursing Administration, in service training among the staffs to create awareness and positive attitude toward skill of conduction of delivery as a result reduce the MMR and IMR. For generalizations of the result, the study could be repeated on a large sample and different interventions like self-instructional module etc to create more effectiveness among participants regarding normal delivery. Keywords: Digitalization, Normal Delivery Skill
THE USE OF CLASSICAL MUSIC TO IMPROVE READING COMPREHENSION

This study focuses on an action research project related to the use of classical music to improve reading comprehension in a foreign language classroom at a university level in the town of Ambato, Tungurahua, Ecuador. The need for university students to improve reading skills in this society was analysed, due to the fact that young people have not developed reading habits, even in their mother tongue. This aspect was conside- red, as well as students’ results on reading exercises applied to them, before and after being exposed to the use of classical music in the language classroom, which were evaluated through a comparison between the different experiences revealed in the surveys applied to the students, and their grade reports. The conclusion highlights that there was a significant improvement in the academic performance of students when they felt comfortable in their classroom environment while classical music was played. Even though research has not yet proved scientifically that the use of classical music influences students to improve their reading comprehension in the language classroom, there are studies related to the use of classical music in education and the learning process, related to the topic of this study, which contributed to conclude that further research must be done in this specific area.
Development of Snake-like driving wire Robot

In agriculture work, weeding work in paddy field has been physical burden and taken a lot of working time. As a solution of this problem, stopping the growth of weed by stirring the soil is affective. An example is "Duck farming" that ducks stir the mad by swimming in paddy fields. In this paper, we propose new robot that imitate snakes to stir the soil. A body segment of this robot is composed of three bending modules and two wire driving mechanisms, we approximate the serpenoid curve by curves without using straight lines.