Reviewerly/exHarmony huggingface dataset:
PENERAPAN METODE EXPONENTIAL MOVING AVERAGE PADA PERAMALAN PENGGUNAAN AIR DI PDAM KOTA GORONTALO

Facing the dry season, it is probable that there is a lack of water or excess distribution at one point during distribution to every house that uses PDAM water every day. This will result in community instability in using water and inaccurate users. Therefore, forecasting of the amount of water used in PDAM Kota Gorontalo for the next period. The method used to forecast is the Exponential Moving Average method. Criteria in determining the best method is based on the value of Mean Absolute Deviation and Mean Absolute Percentage Error. After forecasting each smoothing constant is compared, the best model. in predicting the amount of water use in PDAM Kota Gorontalo is an Exponential Moving Average with a smoothing constant of 0.15 because it has the smallest MAD and MAPE values.
The Effectivity of 3D Interactive Multimedia to Increase the Students’ Visuospatial Abilities in Molecular

This research and development aims to develop interactive 3D multimedia that appropriate to increase students’ visuospatial abilities at molecular shapes geometry studies. This research and development use the modified research and development 4D Thiagarajan design model that limiting until the development testing step. The descriptive qualitative analysis is used to assess the data result. The multimedia effectiveness is stated based on the increasing right-answered percentage and N-Gain score interpretation. The result shows that it has an increasing right-answered percentage &gt; 50% in each test indicator and signification rate at range 0,5174 – 1,0000 in the medium until high level. The achievement of two kind effectiveness’ criteria can be stated that interactive 3D multimedia is appropriate as the effective learning media to increase student’s visuospatial abilities. Visual model in 2D and 3D utilization can aid the students’ representation skill, so that it can be applied to the other relevant matter.
Two‐stage spoken term detection system for under‐resourced languages

Spoken Term Detection (STD) is the process of locating the occurrences of spoken queries in a given speech database. Generally, two methods are adopted for STD: an ASR based sequence matching and ASR-free, feature-based template matching. If a well-performing ASR is available, the former STD method is accurate. However, to build an ASR with consistent performance, several hours of labelled corpora is required. Template matching methods work well for small or chopped utterances. However, in practice, the volume of the search database can be huge, containing sentences of varying lengths. Hence time complexity of template matching techniques will be high, which makes them impractical for realistic search applications. In this work, a two-stage STD system is proposed, which combines the ASR-based phoneme sequence matching in the first stage and feature sequence template matching of selected locations in the second stage. The time complexity of the second stage is reduced by performing DTW-based template matching only at probable query locations identified by the first stage. ‘Split and match’ approach helps to reduce the false-positives in case of longer query words. Effectiveness of the proposed method is demonstrated using English and Malayalam datasets.
Virtual Environment Assessment for Tasks Based on Sense of Embodiment

The quality of a virtual environment for a specified task based on the concept of sense of embodiment (SoE) was assessed in this study. The quality of virtual reality (VR) is evaluated based on the VR system or apparatus’s performance; however, we focused on VR users executing tasks in virtual environments and tried to assess the virtual environment for the tasks. We focused on the user’s sense of agency (SoA) and sense of self-location (SoSL), which were considered as components of the SoE. The SoA was measured based on the surface electroencephalogram of two body parts and our SoE questionnaire. We analysed the surface electroencephalogram waveforms using signal averaging and determined the observable latent time from the analysed waveforms for estimating the state of SoA. To assess the different virtual environments, we built two virtual environments composed of different versions of SPIDAR-HS as a haptic interface and a common head-mounted display. The experiment was executed in two virtual environments in addition to the reality environment. In the three environments, the participants executed the rod tracking task (RTT) in a similar way, and their EMG and subjective data were measured during the RTT. From the results, we considered the task performance based on the participants’ SoA and SoSL, and the quality of the two virtual environments were compared. Furthermore, the relation between the quality of the virtual environment and the factors related to the characteristics of haptic and visual interfaces was revealed to some extent.
The Design of Integrated Learning Model for CLIL-learners

Abstract In this paper, we propose a learning model that is comprised of an advanced combination of pedagogic methods and techniques to realize a CLIL methodology at higher education institutions. Introduction of CLIL approach to the delivery of International Business discipline for the four-year students of the 1st cycle resulted in negative outcomes compared to the previous experience of teaching through non-CLIL courses. To reveal the reasons of discipline outcomes decrease we conducted several surveys for the CLIL course students and their course coordinator. Students completed an online test with close and open-ended questions; the course coordinator passed an oral interview. We carried out a quantitative and qualitative analysis of the data obtained and then identified the weaknesses of the CLIL course implementation. To improve the educational process, students’ performance and their learning outcomes, we developed an integrated learning model that is built on a CLIL methodology as a framework and flipped classroom activities, project-based learning as pedagogic tools for creating a blended learning environment. We assume that the use of this model will stimulate students in professional knowledge and skills acquisition and also drive them to continuous education, raise of self-efficacy and motivation.
HOW DO LIBRARIANS SERVE USERS IN DIGITAL LITERACY ERA?

Problem Statement: Growth and development of science and information technology in the current digital era, also influence the world of literacy towards digital literacy. Librarians as one of the drivers of literacy are demanded to be fast adaptive to the development of digital literacy. The distribution of librarians in the campus of the Institute of Domestic Government is uneven and some libraries do not have librarians. In line with the statement by Supriyanto (2012) that the librarian profession is not as popular as other professional staff, library staff and librarians in particular have all the limitations of both quantity and quality. Purpose: The purpose of this research is to find out the attitudes and strategies that librarians can take in facing challenges in the era of digital literacy. Method: The method used in this research is descriptive method with a qualitative approach Result: The ability of librarians to use technology is considered to be lacking in providing information for librarians and the discovery of uneven distribution of librarians in the campus area of the Institute of Domestic Government and several campuses not having librarians is considered to be able to hamper library development in the era of digital literacy. Conclusion: In dealing with users of various characteristics in the era of digital literacy, librarians are required to have basic abilities, namely: tool literacy; resource literacy; social-structural; research literacy; publishing literacy; emerging technology literacy; and critical literacy. The realization of the role of librarians in the era of digital literacy also requires academic and government support in the use of online libraries, the provision of technology, equitable distribution of human resources, librarian development capabilities and guidance from the government to build a much better library.
Concept Map Information Content Enhancement Using Joint Word Embedding and Latent Document Structure

The concept map (CM) can be enhanced by extracting precise propositions, representing compactly, adding useful features that increase the information content (IC). To enhance the IC with domain knowledge of the document, an automatic enhanced CM generation using word embedding based concept and relation representation along with organization using latent semantic structure is proposed. To improve the concept significance, precise identification of similar items, clustering topically associated concepts, and hierarchical clustering of semantically related concepts are carried out. This augments the IC of the CM with additional information and generates CM with concise and informative content. The joint word embedding based on various contexts is utilized to determine distributional features critical for these enhancements. Summarization of the ECM to visualize the document summary is used to illustrate its resourcefulness. The work is evaluated using ACL anthology, Genia, and CRAFT dataset, and the information gain is approximately three times more in comparison with general CM.
Unsupervised Distribution Learning for Lunar Surface Technosignature Detection

Earth and Space Science Open Archive PosterOpen AccessYou are viewing the latest version by default [v2]Unsupervised Distribution Learning for Lunar Surface Technosignature DetectionAuthorsDanielAngerhauseniDValentin TertiusBickeliDLesnikowskiAdamSee all authors Daniel AngerhauseniDCorresponding Author• Submitting AuthorETH, BMSISiDhttps://orcid.org/0000-0001-6138-8633view email addressThe email was not providedcopy email addressValentin Tertius BickeliDSwiss Federal Institute of Technology in Zurich,Max Planck Institute for Solar System ResearchiDhttps://orcid.org/0000-0002-7914-2516view email addressThe email was not providedcopy email addressLesnikowski AdamNVIDIAview email addressThe email was not providedcopy email address
Optimizing the Pratt-type titrimetric method to determine FeO in geochemical reference materials

Determination of ferrous iron (FeO) is important across a wide breadth of disciplines in geochemistry. The certified values of FeO in geochemical reference materials have been determined mainly by wet chemistry. During this procedure, special attention is needed to prevent oxidation of Fe2+ to Fe3+, which may lead to underestimations of FeO mass fractions. Here, we revisited a traditional titrimetric method to provide a better method of determining the FeO mass fractions in geochemical reference materials. We investigated the effect of duration of decomposition, sand bath temperature, and sample weight. Among these, we found that the effect of sample weight on the FeO values is most significant. The FeO values increase with increasing sample weight, indicating that vapor and foam effectively prevent oxidation. This is supported by yield tests and experiments involving the addition of SiO2 powder to the samples. Thus, we suggest the use of greater amounts of sample to minimize oxidation. We further compare our results with the published recommended values for reference materials, demonstrating that the latter need be considered carefully. The approach described here is not only applicable to geochemical reference materials but also useful to unknown geological samples.
Turbine blade surface recovery based on photometric stereo

In this paper, we proposed an aero-engine turbine blade measurement technique based on photometric stereo, which can reconstruct the blade surface quite accurately and efficient from the images captured under multi-illuminations. In this work, a measurement system is designed by using 8 LEDs as the point light sources, a light propagation process under the point light illumination is developed. Based on this process, a normal estimation method is provided for the reconstruction process. The system calibration is implemented on a USAF resolution target manufactured by Edmund, which proves the method is capable of performing the surface recovery with the repeatability error down to 0.0272mm. The experiments are performed through a turbine blade from aero-engine, where the comparison result is also provided by using a commercial portable laser scanner from Creaform, which shows the better performance of the methodology presented in this paper.
LANGUAGE FUNCTION ACQUISITION OF THREE-YEAR-OLD CHILDREN IN URBAN EDUCATED FAMILY ENVIRONMENT

This article aims to describe the acquisition of language function of three-year-olds in an urban educated family environment. This research utilizes a qualitative approach with a descriptive method. The research subjects are three-year-old children in an educated family environment in the city of Surakarta with a focus on language function. Data are obtained in school, family, and home environment. Data collection uses observation, recording, and note-taking techniques. Data analysis is performed using the translational, phonetic, and referential identity methods. Data validation applies to data source triangulation. The results of the research found three language functions acquired, including information function, exploration function, and persuasion function. The information function is obtained through the stimulation of the school environment, family environment, and play environment. The exploration function is utilized to convey the results of children's learning development. The function of persuasion is used by children to invite or seduce other people. It can be concluded that the three-year-old children are capable of acquiring various language functions with enough vocabulary to utilize them and stimulations at this stage are important and thus encouraged.
Digital epidemiology supported by GIS as a way for effective communication of the epidemic situation

Abstract There is no central information system supporting epidemiological surveillance in the case of the Czech Republic. For efficient management of epidemiological data, it is advisable to use a Geographic Information System (GIS), in which data can be managed based on their geographical component. The advantages of GIS are not only all tools for managing an ordinary database but also functions typical for geographic data. Technical University of Liberec (Czech Republic) with the support of the Technology Agency of the Czech Republic guarantees the design and building of an information system with GIS features designed for the solution of epidemics within the chosen region of the Czech Republic (Regional Hygiene Station of the Liberec Region). The concept of the information system is based on the requirement to use Open Source tools without the need for future license fees. A substantial part of the system is programmed (R language). Data input will be provided by forms and questionnaires (pre-prepared, editable). The database will be based on demographic data along with multiple time and geographical data (useful for the construction of epidemiological curves and data representation in maps). Data input is possible via any platform (desktop, smartphones, mobile GIS for fieldwork). The output console is designed to work with data organized in maps. After the necessary anonymization and aggregation of data, some of the data is designed to be made available to the general public. Emphasis is placed on the communication role of the information system in providing information from and to the public. The research team is multidisciplinary (epidemiologists, geographers, programmers, sociologists). The development of the information system has been started in 2019 on the example of alimentary diseases. A part of it has been used since March 2020 for monitoring COVID-19 within the Liberec Region. Full completion and commissioning are set for 2021. Key messages Geographic Information System is an effective database, analytical and communication tool for epidemilogy. The information system must enable communication with experts and the general public.
Video Player Architecture for Virtual Reality on Mobile Devices

A virtual reality video player creates a different way to play videos: the user is surrounded by the virtual environment, and aspects such as visualization, audio, and 3D become more relevant. This paper proposes a video player architecture for virtual reality environments. To assess this architecture, tests involved comparisons between an SXR video player application, a fully featured 3d application, and a video player implemented in Unity. Tests generated performance reports that measured each scenario using frames per second.
Carbon to Diamond: An Incident Remediation Assistant System From Site Reliability Engineers’ Conversations in Hybrid Cloud Operations

Conversational channels are changing the landscape of hybrid cloud service management. These channels are becoming important avenues for Site Reliability Engineers (SREs) %Subject Matter Experts (SME) to collaboratively work together to resolve an incident or issue. Identifying segmented conversations and extracting key insights or artefacts from them can help engineers to improve the efficiency of the incident remediation process by using information retrieval mechanisms for similar incidents. However, it has been empirically observed that due to the semi-formal behavior of such conversations (human language) the conversations are very unique in nature and also contain domain-specific terms. %It is important to identify the correct keywords and artefacts like symptoms, issue etc., present in the conversation chats. In this paper, we build a framework that taps into the conversational channels and uses various learning methods to (1) understand and extract key artefacts from conversations like diagnostic steps and resolution actions taken and (2) present an approach to identify past conversations about similar issues. Experimental results on our dataset show the efficacy of the methods used in our proposed system.
Design of Gradual Contemporary Wayang Visual Character Indonesia For Sticker Chatting And Game Applications

UNESCO international recognition in 2003 stated that wayang is one of Indonesia's cultural heritage, but the sense of belonging for wayang is still low among the nation's next generation of Indonesia. So at this time, both the government and the educators, still working to improve the regeneration of wayang knowledge and recognition for the young nation and the world, including through game application. In this study, the researchers created a contemporary virtual character of wayang, and will be inserted as a character sticker chatting and game application. This wayang virtual characters can be used as tools for reintroduction to young people around the world. This method will be conducted by researchers include depictions classification of facial expressions of emotion, collaborate with simplified visual approach, to obtain the corresponding visual characteristics of the wayang virtual characters. Researchers also used visual basic character as a prototype for contemporary form deformation, so it can be applied to the target games application and communication functions.
Cooperative path planning for multiple MAVs operating in unknown environments

In recent years, Micro Aerial Vehicles (MAVs) have become widely available and are successfully used in many real scenarios. While the early applications like surveillance mostly utilized single MAVs or a group of multiple, yet non-cooperative MAVs, recent research is more focused on a group of cooperating MAVs. A typical example is the payload transport task, where multiple MAVs carry a single object. This problem has been studied mainly from the control theory point of view, providing robust control to cooperating MAVs using the dynamics of the whole system. Real applications, however, require operating in unknown environments with obstacles, which needs motion planning. In this paper, we propose a novel motion planning method for multiple MAVs operating in unknown environments. The proposed work is based on the Sensor-based Random Trees method (SRT), which was originally intended for exploration of unknown environments. We extend the method for online path planning of multi MAVs. In the proposed method, each MAV makes a motion plan and exchanges key waypoints with other MAVs to ensure that their mutual positions satisfy the mission constraints. The performance of the method is demonstrated in various simulation experiments.
Characterization of camera shake

In the early days of photography, emulsions were not very sensitive to light and lenses had relatively small apertures, so long exposures were needed and cameras were generally mounted on solid, stationary, supports. However, in modern use, cameras are nearly always hand-held – and this introduces shake. Vibrations also are introduced by the complex moving systems within a camera and lens. Although many cameras now incorporate mechanisms for minimizing the detrimental impact of shake, and there is a standard test procedure to measure effectiveness of such measures, there is surprisingly little published on the characterization of camera shake itself. The current work describes how inexpensive shake measurement hardware can be built, proposes a testing methodology for characterizing shake, and summarizes preliminary results obtained by measuring shake under a variety of conditions.
Mechanism of “Liquid State” of Emerging Technology Innovation Network Based on Case Analysis of Coastal Cities

Wang, J.B.; Cao, X., and Zhu, J.Y., 2020. Mechanism of “liquid state” of emerging technology innovation network based on case analysis of coastal cities. In: Guido Aldana, P.A. and Kantamaneni, K. (eds.), Advances in Water Resources, Coastal Management, and Marine Science Technology. Journal of Coastal Research, Special Issue No. 104, pp. 223–228. Coconut Creek (Florida), ISSN 0749-0208.When the innovation system is on the “edge of chaos”, the innovation ability is significantly enhanced. Combined with the evolution theory of emerging technologies, the development trajectory of emerging technologies is analyzed, and the formation mechanism of the “liquid state” of the innovation network is deeply studied. A case study was carried out by collecting coastal cities patent data of self-driving cars, and the method of combining patent citation analysis and social network analysis was used to verify the technical characteristics and knowledge flow characteristics of the emerging technology innovation network - the “liquid state” network.
Quality Aware Feature Selection for Video Object Tracking

Video object tracking (VOT) aims to determine the location of a target over a sequence of frames. The existing body of work has studied various image factors that affect VOT performance. For instance, factors such as occlusion, clutter, object shape, unstable speed and zooming, that influence video quality, do affect tracking performance. Nonetheless, there is no clear distinction between scene-dependent challenges such as occlusion and clutter and the challenges imposed by traditional notions of “quality impairments” inherited from capture, compression, processing, and transmission. In this study, we are concerned with the latter interpretation of quality as it affects video tracking performance. In this paper, we propose the design and implementation of a quality aware feature selection for VOT. First, we divided each frame of the video into patches of the same size and extracted HOG, and natural scene statistics (NSS) features from these patches. Then, we degraded the videos synthetically with different levels of post-capture distortions such as MPEG-4, AWGN, salt and pepper, and blur. Finally, we defined the best set of features HOG and NSS that generate the largest area under the curve in the success plots, yielding an improvement in the video tracker performance in videos affected by post-capture distortions.