Reviewerly/exHarmony huggingface dataset:
Intervening in uncertainty

This paper considers a problem of minimax (or H∞) state estimation with intermittent observations. In this setting, the disturbance in the dynamical system and the sensor noise are controlled by adversaries, and the estimator receives the sensor measurements only sporadically, with the availability governed by an independent and identically distributed Bernoulli process. We cast this problem within the framework of stochastic zero-sum dynamic games. We first obtain a corresponding stochastic minimax state estimator (SMSE) and an associated generalized stochastic Riccati equation (GSRE) whose evolutions depend on two parameters: one that governs the random measurement arrivals and another one that quantifies the level of H∞ disturbance attenuation. We then analyze the asymptotic behavior of the sequence generated by the GSRE in the expectation sense, and its weak convergence. Specifically, we obtain threshold-type conditions above which the sequence generated by the GSRE can be bounded both below and above in the expectation sense. Moreover, we show that under some conditions, the norm of the sequence generated by the GSRE converges weakly to a unique stationary distribution. Finally, we prove that when the disturbance attenuation parameter goes to infinity, our asymptotic results are equivalent to the corresponding results from the literature on Kalman filtering with intermittent observations. We provide simulations to illustrate the results.
Reference in Formal Semantics and Natural Language: A Methodological Route

In this paper, I will tackle the notion of reference of singular terms in the light of a classic analytic divide, i.e. whether its analysis, like the analysis of other basic notions, should be carried out in natural language or in the semantics of formal frameworks. I will incline toward the latter strategy, and consider reference in classical first-order logic as the simplest framework in which to investigate reference.
Collaborative Learning of Human and Computer: Supervised Actor-Critic based Collaboration Scheme

Recent large-scale neural networks show a high performance to complex recognition tasks but to get such ability, it needs a huge number of learning samples and iterations to optimize it’s internal parameters. However, under unknown environments, learning samples do not exist. In this paper, we aim to overcome this problem and help improve the learning capability of the system by sharing data between multiple systems. To accelerate the optimization speed, the novel system forms a collaboration with human and reinforcement learning neural network and for data sharing between systems to develop a super neural network.
The effectiveness of physical activity promotion program during summer vacation

The decrease in physical activity in elementary school children is an important problem in Japan. Previous studies have shown that physical activity during the summer vacation is lower than during the school days, and a program for increase in physical activity during the summer vacation are required. Therefore, the purpose of this study is to assess the effectiveness of physical education homework and exercise events during summer vacation in elementary school children. A total of 67 children in grade 4 were assigned to the two groups for each school: the control school (n = 39) or the intervention school (i.e., did physical education homework and participated in exercise events; n = 28). Physical education homework was constituted of four exercise programs per day. Additionally, exercise events were carried out four times during the summer vacation. Physical activity before and during the summer vacation were measured by accelerometer (Lifecorder EX). The decline in physical activity of the intervention school was less than the control school, and significant interactions were indicated by two-way repeated ANOVA (Step count: F (1, 65) = 6.704; Light-intensity physical activity, LPA: F (1, 65) = 4.365; Moderate- to vigorous-intensity physical activity, MVPA: F (1, 65) = 6.088, all P < 0.05, respectively). After adjusted for sex, percentage of overweight, participation of sport activity, and each physical activity, significant trends of interactions about the step count, LPA, and MVPA were shown (Step count: F (1, 61) = 3.982, P = 0.050; LPA: F (1, 61) = 3.243, P = 0.077; MVPA: F (1, 61) = 2.916, P = 0.093). These results suggest that combined use of physical education homework and exercise events are effective to attenuate the decrease in physical activity during summer vacation in elementary school children.
한국어 학습자의 의사소통 불안과 한국어교육용 앱(APP) 사용의 관련성 연구

This study examines the relationship between the communication anxiety of Korean language learners and their use of applications in Korean language learning. Since the smartphone market started in 2010, it has developed applications for Korean language education and, today, various Korean language learning applications are available. The purpose of this study is to examine how the preferences of Korean language learners influence their intention to use Korean language learning applications. Accordingly, the study involved measuring the communication anxiety and innovativeness of Korean language learners and examining whether they use applications to learn Korean and how frequently they use such applications. Results revealed that 80% of the respondents use Korean language education applications. On examining the relationship between learners’ characteristics and the learning method, the study reveals that technological innovativeness of learners is associated with their tendency to study Korean using the Internet or mobile applications. The current study, which examines the relationship between learners’ tendencies and use of educational applications in Korean language learning, is significant in that it reveals how the development of diverse learning methods not only diversifies the methods of learning but also facilitates the design of customized learning methods suited to individual learners.
Going quantum with radio waves

Quantum OpticsIt becomes increasingly difficult to detect long-wavelength single photons because of thermal fluctuations in the background. This can pose problems for single-photon detection for fields such as astronomy and nuclear magnetic resonance imaging. Gely et al. used a superconducting qubit, initially developed for circuit quantum electrodynamics (cQED) and quantum information processing for microwaves, to directly observe the quantization of radio-frequency electromagnetic fields stored in a photonic microresonator. They were then able to manipulate the quantum state of the radio-frequency field, forming one- and two-photon Fock states within the microresonator, and analyze how the system interacts dynamically with its environment. The cQED approach could be used for fundamental studies in quantum thermodynamics and also find practical application in imaging.Science , this issue p. [1072][1] [1]: /lookup/doi/10.1126/science.aaw3101
Prediction of Peak Velocity of Pollutant Transport in Rivers Using Group Method Data Handling (GMDH) and Intelligent Hybrid Method GMDH-HS

Estimating of the peak velocity of pollutant in a flow using hydraulic and geometrical parameters is very important in predicting the pollution transport in rivers. Suitable empirical equations are developed, none of which is reliable enough in estimating the peak velocity of pollutant before a thorough calibration. So, in this research artificial intelligence methods are used for this purpose. The objective of this research was to predict the peak velocity of pollutant by Group Method Data Handling (GMDH) methods and an intelligent hybrid method (GMDH-HS). The result of these methods were compared to the best regression equation. The dimensionless relative discharge (Q'a), dimensionless drainage area, the ratio of discharge at the section at the time of  measurement to drainage area (Q/Da) and the reached slope (S) were taken as input parameters to these models. These data were collected from several different rivers in the United States. Mackey-Glass standard function was used to evaluate the performance of the GMDH and GMDH-HS models. The results indicated that the proposed models predicted the peak velocity of pollutant precisely (CE GMDH =0.9328, CE GMDH-HS =0.9038 & CE Vp Equation=0.3802) and these models are more accurate compared to the best nonlinear regression equation..
QoS Based Discovery and Service Provider System

We propose a two-step, context-based semantic approach to the problem of matching and ranking Web services for possible service composition. Semantic understanding of Web services may provide added value by identifying new possibilities for compositions of services and context-based semantic. The semantic matching ranking approach is unique since it provides the Web service designer with an explicit numeric estimation of the extent to which a possible composition. This process consists of multiple services that can be executed in sequence or in a parallel process. Given a service request, a set of candidates (available services and service patterns) is dynamically generated layer by layer from inputs to outputs of this request. For each layer, the algorithm traverses a priori search space which is a set of service patterns from historical solutions, then it searches available services from the repositories. That means each layer contains all services and service patterns that can be executed with a set of outputs provided by previous layers. The search process terminates until all the outputs of a request are obtained.
Discrete Hashing Based on Point-Wise Supervision and Inner Product

Recent years has witnessed an increase popularity of supervised hashing in vision problems like image retrieval. Compared with unsupervised hashing, supervised hashing accuracy can be boosted by leveraging semantic information. However, the existing supervised methods either lack of adequate performance or often incur a low quality optimization process by dropping the discrete constraints. In this work, we propose a novel supervised hashing framework called discrete hashing based on point-wise supervision and inner product (PSIPDH) which using point-wise supervised information make hash code effectively correspond to the semantic information, on the basis of which the coded inner product is manipulated to introduce the punishment of Hamming distance. By introducing two kinds of supervisory information, a discrete solution can be applied that code generation and hash function learning processes are seen as separate steps and discrete hashing code can be directly learned from semantic labels bit by bit. Experiment results on data sets with semantic labels can demonstrate the superiority of PSIPDH to the state-of-the-art hashing methods.
Comprehending and Empowering Developers by Mining Interaction Data (Keynote)

Summary form only given, as follows. The complete presentation was not made available for publication as part of the conference proceedings. Developer interaction data is a rich trove of information that can be analysed and mined to better comprehend developer activities and which in turn shed light into their pain points and needs and empower developers to perform their tasks more effectively and/or efficiently. Interaction data can be obtained by tracking developer activities in IDE and also related tools that developers regularly use to accomplish their day-to-day tasks (e.g., web browser). Mining and analysis of developer interaction data is a relatively young topic in the area of mining software repositories (MSR). And as such, it is now an exciting time where there are much challenges to address and opportunities to tap on.This talk highlights several of our recent work which is part of the exciting community-wide effort to tackle challenges and take advantage of the potentials of mining developer interaction data. In particular, this talk, which is divided into 3 parts, highlights how developer interaction data can be mined to (1) comprehend how developers understand programs, (2) comprehend how developers search the web, and (3) empower developers to create interactive video tutorials. In the first part, I’ll describe our field study of program comprehension in practice by analysing developer interaction data within and outside IDE across a total of seven real projects, on 78 professional developers, and amounting to 3,148 working hours. In the second part, I describe our mixed-method study based on collecting search queries from 60 developers’ interaction data and surveying 235 software engineers from more than 21 countries across five continues to understand what developers frequently search for and of the search tasks that they often find challenging. In the final part, I describe our work that design and build a programming video tutorial authoring system that that leverages operating system level instrumentation to log workflow history while tutorial authors are creating programming videos, and the corresponding tutorial watching system that enhances the learning experience of video tutorials by providing programming-specific workflow history and timeline-based browsing interactions.Aside from methodologies and findings, opportunities in terms of open technical problems and potential benefits of mining developer interaction data will also be discussed. Hopefully, the talk would inspire attendees to continue innovating in this exciting research topic.
Prediction and determining the effective factors on the survival transplanted kidney for five-year in imbalanced data by the meta-heuristic approach and machine learning

Prediction and determining the effective factors on the survival transplanted kidney for five-year in imbalanced data by the meta-heuristic approach and machine learning
Recording and amplifying of the accordion : What is the best way to capture the sound of the acoustic accordion?

In this thesis I discuss, analyse and intend to answer the question: What is the best way to capture the sound of the acoustic accordion? It was my desire to explore this theme that led me to this ...
Journalism Workshop for Highschool Students to Develop School Publication in Kendari [Pelatihan Keterampilan Jurnalistik Bagi Siswa untuk Memproduksi Media Sekolah di Kota Kendari]

Amid the fast flow of information from the media, media education is needed to provide sufficient capabilities and knowledge for media updates. In addition to being able to become a smart media consumer, the younger generation is expected to be able to jointly produce media with positive and inspirational content. One of the reasons that underlie the implementation of Journalistic Skills Training in Producing Media Schools in Kendari Public High School 2 is carried out. This activity was attended by 22 participants and was designed in several stages. Starting from the introduction (orientation), introduction to basic journalistic material, journalistic practice, and the last is the evaluation. During the practice session, the participants were asked to immediately try to make the news. Reporting activities must also be carried out by participants, starting from observation, interviews and documentation research. All activities are carried out around the school environment which is the location for conducting this activity. All participants were very enthusiastic to go through each stage of the activity until it was over. This activity is the initial stage of the next continuous activities plans. The material in the next follow-up activity will be more focused on the material of layout techniques and the practice of making online media. In accordance with the trends and developments of today's society that consume more media in a digital or online form, we are aiming to build school media in the form of online media.
Circuit Theory Based on New Concepts and Its Application to Quantum Theory

In Session 15, the reason why many quanta have spin 1/2 was demonstrated by applying circuit theory to the Dirac equation. In this session, we attempt to apply circuit theory to the Dirac equation from a different viewpoint and determine a model in which electrons and neutrinos are not bound to other quanta and exist independently. We also determine a model of neutrons and protons that have spin 1/2 and can be bound to other quanta and show that this model represents the elements of an asymmetric LC ladder circuit, which can be treated as particles.
Dampak Pelaksanaan Homa Jnana Pada Komunitas Bahung Tringan, Bebandem, Karangasem

Homa Jnana organized by Bahung Tringan Community, Bebandem Village, Karangasem is an ancient ritual that was revived as a medium of spiritual journey of the community, especially members of the community. This ritual is very simple, but has an infinite impact esoterically. Based on the practitioners’ experience, there were several effects that were directly felt by them. Physical and mental health problems, community peace and environmental problems are directly affected by the implementation of Homa. People can recover from their illness and the mind can calm down when following Homa. Through the positive vibrations that are propagated, this ritual is able to give a positive influence to the minds of the people or communities around the Homa implementation site. Likewise the atmosphere is purified around the practice of Homa from various types of pollution, especially pollution caused by the mind. This article describes in full the immediate impact felt by the community who are actively participating in the Homa ritual periodically.
EMERGING TRENDS AND CHALLENGES IN ADVANCED TECHNOLOGIES ON CYBER SECURITY

Cyber Security plays an important role in the field of information technology .Securing the information have become one of the biggest challenges in the present day. Whenever we think about the cyber security the first thing that comes to our mind is ‘cyber crimes’ which are increasing immensely day by day. Various Governments and companies are taking many measures in order to prevent these cyber crimes. Besides various measures cyber security is still a very big concern to many. This paper mainly focuses on challenges faced by cyber security on the latest technologies .It also focuses on latest about the cyber security techniques, ethics and the trends changing the face of cyber security.
Students’ anxiety in learning English and their attitude towards English language

This study aimed to find the correlation students’ anxiety in learning English and their attitude towards English language, the simultaneous effect of the factors of anxiety (i.e. communication apprehension, fear of negative evaluation, test anxiety, and anxiety of English classes) on attitude, and which factors of anxiety best predicted attitude.  A combination of anxiety and attitude questionnaire consisted of 39 items were distributed to 168 students of 11th grade in a selected SMAN Balikpapan.  Based on statistical analysis, the results were: (1) there was a significant negative correlation between the two variables, (2) communication apprehension, fear of negative evaluation, test anxiety, and anxiety of English classes did not affect attitude simultaneously, and (3) none of the factors of anxiety best predicted attitude.  It is concluded that there are other anxiety factors that affect attitude; therefore, it is recommended that further studies be conducted to see other factors that may affect attitude toward English language
A Correlation Evaluation Method for Complex Objects

Data correlation evaluation is the basis for data analysis, and the academic community has proposed many indicators to evaluate it, such as the Euclidean distance, and angle cosine, and so on. However, it is difficult for these indicators to effectively express the correlation degree of complex objects. Using traffic intersections as an example, this article proposes an effective method to evaluate the correlation between complex objects. First, based on a large quantity of basic data, a standard data format describing traffic intersection attributes was proposed. Then, experienced engineers were asked to grade the correlation between intersections. Finally, the two intersection standard format datasets were used as model inputs, the engineer correlation rating as the output of the model, and the support vector machine model was employed for training. The results of this data experiment demonstrate that the trained model can effectively express the correlation degree between traffic intersections, and therefore proves the validity of the method.
Quantum key distribution: a simple reference frame independent method

Any quantum communication task requires a common reference frame (i.e. phase, coordinate system). In particular, Quantum Key Distribution requires different bases for preparation and measurements of states which are obviously based on the existence of a common frame of reference. Here we show how QKD can be achieved in the absence of any common frame of reference. We study the coordinate reference frame, where the two parties do not even share a single direction, but the method can be generalized to other general frames of reference, pertaining to other groups of transformations.
Sensory encounters and mobile technologies

In this chapter we examine the idea of the sensory encounter as a route for researching everyday family life with digital technologies. To develop the discussion we reflect on a series of organised encounters with and in the mundane words of other people, which have been explored or created in our research into mobile media in intergenerational and transnational families based in Melbourne, Australia. We draw on research that has explored participants’ relationships with technologies in everyday contexts, and where video has been engaged as a medium through which encounters with sensory experience and knowing are made possible and imaginable. We discuss how video and our engagements with material and technological artefacts of everyday life can play a key role in generating collaborative encounters between researcher and participant, through which normally unspoken and invisible, sensory and emotional ways of knowing are revealed. Sometimes these encounters enable understandings of sensory or unspoken ways of knowing or doing everyday tasks that surprise participants and researchers. They also enable new ways of sharing sensory and unspoken knowing with viewers, who likewise become co-implicated in encounters through video.
Assessment of Digital Reference Tools/Websites Related to Tourism Information using Webometrics and Qualitative Analysis

The study provides an assessment of digital reference tools/websites disseminating tourism information. It also notes the keywords and other drivers which trigger tourism information seeking from digital reference tools/websites.
Automating geoscience analysis

GeophysicsSolid Earth geoscience is a field that has very large set of observations, which are ideal for analysis with machine-learning methods. Bergen et al. review how these methods can be applied to solid Earth datasets. Adopting machine-learning techniques is important for extracting information and for understanding the increasing amount of complex data collected in the geosciences.Science , this issue p. [eaau0323][1] [1]: /lookup/doi/10.1126/science.aau0323