Reviewerly/exHarmony huggingface dataset:
Multimodal integration for interactive conversational systems

research-article Multimodal integration for interactive conversational systems Share on Author: Michael Johnston View Profile Authors Info & Claims The Handbook of Multimodal-Multisensor Interfaces: Language Processing, Software, Commercialization, and Emerging DirectionsJuly 2019 Pages 21–76https://doi.org/10.1145/3233795.3233798Published:01 July 2019 3citation131DownloadsMetricsTotal Citations3Total Downloads131Last 12 Months14Last 6 weeks4 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access
FOSTERING CREATIVITY VIA TECHNOSELF ENHANCED LEARNING WITH EMERGING TECHNOLOGIES

Appears in: EDULEARN19 Proceedings Publication year: 2019Pages: 3247-3254ISBN: 978-84-09-12031-4ISSN: 2340-1117doi: 10.21125/edulearn.2019.0872Conference name: 11th International Conference on Education and New Learning TechnologiesDates: 1-3 July, 2019Location: Palma, Spain
SCALING AGILE FRAMEWORKS VS. TRADITIONAL ROJECT PORTFOLIO MANAGEMENT: COMPARISON AND ANALYSIS

Practitioners have developed numerous frameworks around scaling agile and lean methods.These frameworks are more frequently being used in practice in large-scale system development activities.Therefore, they are in the scope of project portfolio management.The paper examines the conformity of selected scaling agile frameworks to the objectives of project portfolio management through qualitative analysis.Four prominent frameworks are investigated: Scrum of Scrums, Large Scale Scrum, Disciplined Agile, and the Scaled Agile Framework.The study shows significant differences between the frameworks and their view on project portfolio management with the Scaled Agile Framework offering the most detailed portfolio management-relevant processes and roles.In contrast to that, Large Scale Scrum does not see the need for portfolio management but promotes self-managing teams.Two of the four frameworks share the perception shift from projects to the products, which has significant implications for practitioners because it challenges and redefines prevalent management roles and practices.
Preference Elicitation and Explanation in Iterative Planning

Planning for complex scenarios, particularly in which large teams of humans with distributed expertise and varying preferences share a set of resources, poses a number of challenges including integrating distributed information and accounting for context-dependent preferences and constraints. We see three key pieces to solving the problem of introducing autonomous assistance through a mixed-initiative planning system in these scenarios: preference elicitation, integrating preferences into planning, and providing tailored explanations back to the humans in the loop. The process of preference elicitation, planning, and explanation can be integrated as an iterative process by which teams can efficiently converge on the ideal schedule. Linear Temporal Logic (LTL) is a common language, readily understandable by both planners and humans, that provides a natural link between the three components of the iterative planning problem, facilitating both elicitation of expressive preferences and intelligible explanations of the system's decision-making processes. Outputs of each of the preference elicitation, planning, and explanation pieces can be expressed as LTL specifications and used as inputs to each next step in the process. We propose to explore preference elicitation, planning, and explanation using LTL specifications and the integration of these pieces into an iterative process.
Analisis Sentimen Sistem Ganjil Genap di Tol Bekasi Menggunakan Algoritma Support Vector Machine

Analysis of the odd even-numbered sentiment systems in Bekasi toll using the Support Vector Machine Algorithm, is a process of understanding, extracting, and processing textual data automatically from social media. The purpose of this study was to determine the level of accuracy, recall and precision of opinion mining generated using the Support Vector Machine algorithm to provide information community sentiment towards the effectiveness of the odd system of Bekasi tiolls on social media. The research method used in this study was to do text mining in comments-comments regarding posts regarding even odd oddities on Bekasi toll on Twitter, Instagram, Youtube and Facebook. The steps taken are starting from preprocessing, transformation, datamining and evaluation, followed by information gaon feature selection, select by weight and applying SVM Algorithm model. The results obtained from the study using the SVM model are obtained Confusion Matrix result, namely accuracyof 78.18%, Precision of 74.03%, and Sensitivity or Recall of 86.82%. Thus this study concludes that the use of Support Vector Machine Algorithms can analyze even odd sentiments on the Bekasi toll road.&#x0D;
Implementasi Sequential Search Pada Pencarian Data Tarif Aplikasi Perjalanan Dinas Karyawan PT Telkom Akses

PT Telkom Access has rules on travel rates approved by the Board of Directors. Each unit has the budget to do the trip, budget travel agency would have taken into account by the party Finance. Budget travel agency includes the price of the accommodation, transport, taxis, money and pocket money. For this assignment the fare has not been run properly because swelling the budget cost of the trip. Therefore, this research will be made an application that implements the method of Sequential Search. Sequential Search methods are used to help find the data mapping rates that are already stored in the database, the data rates will be stored in the array which will then look for data rates in accordance with PT Telkom access employees level. The results of this research resulted in an application as a tool for searching a data rate of travel service, so that the budget can be managed properly.
Implementasi Metode Content Based Filtering Pada Aplikasi Pencarian Taman Penitipan Anak

Economic demands make working mothers currently a trend in society, especially in DKI Jakarta. The dual role of a mother makes it difficult for them to divide the time to take care of the child, especially if the child is still at the age of a toddler. Along with this, the existence of a Daycare is increasingly needed as an alternative parents to take care of their children while they are working. Therefore, in this study a web-based Daycare search application will be created that can help parents search for Daycare in DKI Jakarta. This application uses the Content Based Filtering method that is by providing recommendations based on the similarity of criteria between Daycare that are being seen in detail by Parents and Daycare who have been given a rating by them with other Daycare available in the system so that it can be a comparison for Parents in choosing Daycare. The results obtained from this study are made with an application that applies the Content Based Filtering method that supports the "Daycares You May Like" feature in the application for the highest similarity Daycare with Parents details being seen as a recommendation tool in this application. After doing the research, it was concluded that by using the Content Based Filtering method the system can display Daycares that has similarities based on its facilities.&#x0D;
UPAYA MENINGKATKAN PEMAHAMAN KONSEP DAN AKTIVITAS BELAJAR MENGGUNAKAN MODEL JARING MAKANAN PADA SISWA KELAS VII SMPN 2 SANGGAU LEDO

The teacher is a component of education that plays an important role in teaching and learning activities and is able to master learning in schools with models and methods that can make students understand the lessons given by the teacher. Therefore the 3D model carried out by the teacher knows the increase in understanding of concepts and learning activities about food webs as well as looking at students' responses to the food web model. The method used in this study uses the R &amp; D method to produce the following research data: Increased understanding of concepts 88%, increasing student learning activities on the criteria of learning activities is very high (29%) and high (59%) and student responses show high enthusiasm namely Strongly Agree (47%), Agree (37%), Doubtful (11%), Disagree (4%) and Strongly Disagree (2%).
Fuzzy Cognitive Maps to Evaluate the Influence of the Infants About Home Buying Decisions

The child has become a key member of the family nucleus, taking a key role on decision making. He is constantly involved directly or indirectly in decisions regarding the consumption products. Having said that the child becomes the object of study, therefore it's important to evaluate the impact a child in the purchase of food products using a fuzzy neural model. This methodology consists of two phases. Phase 1 evaluates all involved agents (child, parents, product) independently and pointing out that the latter two present some inconsistencies due to the structure of the model. Finally, in phase two of the model consists of combining phase one output variables infant, parents and products evidencing coherence between the level of influence estimated and the level of influence established for a particular scenario.
Another Look at Cryptocurrency Bubbles

This paper deals with cryptocurrency bubbles. First, it points out that a number of recent papers on cryptocurrency bubbles are awed due to an insufficient consideration of the fundamental value of cryptocurrencies. As even fiat money is said to exhibit features of bubbles, the same applies to cryptocurrencies. Thus, any empirical investigation into either the presence of cryptocurrency bubbles or the fundamental value of cryptocurrencies is needless. Second, the paper conducts a short empirical analysis into the relationship of the prices of Etherum and Bitcoin. Evidence of explosive periods is found in the price of Etherum even if this price is expressed in terms of Bitcoin rather than US Dollars. These periods, however, are found to be in the first half of 2016 and 2017, respectively, but not during the price peak period of Bitcoin witnessed end of 2017 and beginning of 2018.
Percepción efectiva de profesores sobre la educación a distancia como modalidad en posgrado

Background: distance education is attractive to develop teaching activities with increasing application in lifelong education strategies. Objective: to show the opinions of the professors of the “Hermanos Ameijeiras” graduate center on the use of this modality in the development of a course held in 2015-2016. Methods: an observational study was conducted in which theoretical methods were used: analysis-synthesis and induction-deduction, and empirical: the questionnaire survey to explore opinions on general and specific aspects related to the educational, technological and educational process. assessment of its future feasibility. For the data processing, central tendency measures and percentage analysis were used. Results: the majority of respondents had no previous experiences in the virtual environment. The highest averages of points awarded corresponded to the quality of evaluation instruments, fulfillment of objectives, motivation for reflection and quality of learning resources, the least valued were the possibility to debate and exchange, and the time available to carry out the activities, related to the development of the educational teaching process. The main difficulties related to the use of technologies due to connection problems, mostly soluble. Conclusions: teachers' opinions about the realization of this modality of distance education were favorable, so it was considered feasible to be applied in other educational contexts.
A New Construction Method of Heuristic Multi-Class Hierarchical Tree Structure Model Based on Support Vector Machine and Information Entropy

SVMs have limitations in the process of solving multi-class classification problems, often accompanied by many problems such as data set skew, excessive base classifiers, and poor adaptability of coding methods, resulting in a significant drop in accuracy and efficiency. This paper proposes a multiclass hierarchical tree structure support vector machine recognition algorithm based SVM and Information Entropy, which can be used in any SVM-based algorithm to reduce training time and improve accuracy. This research selects the BreastTissue data set in the UCI database as the research object, the overall accuracy of the experiment is increased by about 5%, and the training time is reduced by about 29%. This research method provides a new idea for the research of support vector machine multi-classification and it also has certain theoretical reference significance for the research of classification and regression problems in ontology domain.
An extension of PROMETHEE to hierarchical multicriteria clustering

Multicriteria clustering can be seen as a hybridisation between ranking and sorting problematic. These methods are used to build totally or partially ordered groups of alternatives based on preference relations. In the context of totally ordered clustering, two hierarchical approaches (top-down and bottom-up) based on PROMETHEE II have been developed in this paper. These methods rely on the optimisation of the clustering structure (by maximising the intra-cluster homogeneity and the inter-clusters heterogeneity). A third approach is developed as a hybrid model that merges the information obtained by both previous models. A specific quality index has been introduced to be able to evaluate the method's outputs and to choose appropriately the desired number of clusters. The three procedures have been tested on several dataset (Shanghai Ranking of World Universities, Environmental Performance Index and CPU evaluations) and the results have been compared with P2Clust.
The Potencial of «QR Code» in Education a Study in the 1st Cycle of Basic Education

This study was carried out in the context of Supervised Practice in 1st Cycle Teaching, with a class of the 4th year of schooling at the Faria de Vasconcelos Basic School in Castelo Branco. The research focused on the potential of using the QR code in the 1st Cycle of Basic Education. As such, the objectives of this research were based on the promotion of the use of the QR Code in the 1st Cycle of Basic Education, in the implementation of the use of the QR Code in the scope of the curricular area of Portuguese, in the evaluation of the contribution of the QR Code in the teaching and learning process and in the analysis of the opinions of the students and the Cooperating Adviser regarding the contribution and impact of the QR Code in the curricular area of Portuguese. This study followed as a principle a methodology of qualitative nature in the research-action modality. Data collection instruments included: participant observation, field notes, photographic records, questionnaire survey and semi-structured interview. After the data collection, treatment and analysis, it was verified that the use of the digital application “QR Code” as a pedagogical resource was a decisive element for the improvement of students' vocabulary development, of textual production, more concretely in the writing of the synopses, in reading comprehension, in cooperation with others and in the students' sense of interest in the teaching and learning process. In addition, the project developed with the School Library was an added value, because it allowed the students to produce materials that demonstrated what they are capable, valuing their learning. In this way, a sense of pride and confidence grew in them, when they were authors of their own QR Codes.
Extracting Knowledge from the Bible: A Comparison between the Old and the New Testament

The objective of this work is to present a comparison between the Old Testament and the New Testament in terms of knowledge extraction and ontology learning. It is a knows fact that these two books have many differences in term of size, practice of worship, prophecy and there is also a difference in the time period when they were written. By applying the ontology learning and knowledge extraction methods we were interested do see if these differences are revealed and what are the similarities among them. Ontology learning can be applied for the semantic analysis of text, in order to extract concepts, relations, which can be further used for automated summaries or critical comparison. Such activities are important in education as they can allow dynamic creation of content or analyses that can be further used in the educational process. Since ontology-learning methods require large corpus of unstructured data, we have chosen the Bible as source for the text. In this way, the new developed methods are validated, and they can be used successfully in other educational domains. The Bible is the religious text of Christians and Jews. The Bible contains a collection of scriptures that was written by many authors, at different time and locations. Computationally, the Bible contains semi-structured information due to its organized structure of scriptures and numbered chapters. We have used Text2Onto as the main tool in order to obtain the most relevant concepts from the New Testament and then from The Old Testament. After that we analyze the most relevant concepts and the range of similarity for each domain identified in the New Testament and in The Old Testament. We can mention that there are no studies reported in the literature using ontology extraction for this religious domain. Those methods can be employed for automatic generation of content that can be further used in the educational process.
Cryptocurrencies, a new version of money

In this article we will define how cryptocurrencies are building a fully decentralized financial system and that they do not depend on governments, it is intended to show the different types of virtual currencies, the use they currently have and the progress they have made since their creation in 2009 until Nowadays, certain advantages will be analyzed from an objective point of view that will allow demonstrating that cryptocurrencies can come to be cataloged as a new version of money.
SIEM Open Source Solutions: A Comparative Study

Computer attacks are increasing in complexity and number of occurrences making it imperative to implement tools such as Security Information and Event Management (SIEM) to mitigate risks, as Organizations increasingly rely each time more on computer systems for the development of their activities. The presented work compares several SIEM “open source” solutions, resorting to bibliographic research and the implementation of several tests' scenarios, with the aim of creating a prototype and evaluating it in a production context. The chosen solution will have to take in account the legal requirements of the EU-GDPR, General Data Protection Regulation, such as the anonymization and pseudo anonymization of sensitive data, retention time of “logs”, and its encryption and protection.
Anaerobic Digestion untuk Pengolahan Sampah Organik: Analisis Multikriteria Menggunakan Metode Analytic Network Process

&lt;p&gt;Organic waste can be treated through anaerobic digestion in a bioplant facility. Different management attern of bioplant has different consequences to each criterion affecting the sustainability of the bioplant. The study aims to apply multicriteria analysis using Analytic Network Process (ANP) method to alternatives of the bioplant management available in Bandung City as a case study. Multicriteria developed in the study, namely Technical, Environment, Social, and Economic, have their respective subcriterions to be analyzed further through interview to related stakeholders. The result revealed that the following subcriterions had the highest driving power and dependency: construction and operational, pretreatment, and availability of infrastructure (Technical criterion), amount of labor required, readiness of community for waste segregation (Social), and investment and operational costs (Economic). All subcriterions in criterion of Environment were deemed not so important. The best alternative choosen was a bioplant with waste segregation by generator at source and supported with waste bank&lt;/p&gt;
Agile Process Optimization: An Approach Using the CMMI and GQM

The CMMI model catalogs good practices in many process areas. It is therefore a very useful resource for improving software development processes. However, its complete and comprehensive nature can create difficulties, particularly when considering agile development environment, where lightweight development practices are preferred. In this work, we describe a methodology for optimizing agile processes based on CMMI, with reduced impact on pre-existing agility. This is achieved by defining improvement objectives with the GQM approach, that allow precise and intentional selection of CMMI practices with high impact towards the desired objectives. This methodology was validated in a medium size enterprise with good results.
Parasitic Body: Exploring Perspective Dependency in a Shared Body with a Third Arm

With advancements in robotics, systems featuring wearable robotic arms teleoperated by a third party are appearing. An important aspect of these systems is the visual feedback provided to the third party operator. This can be achieved by placing a wearable camera on the robotic arm's “host,” or Main Body Operator (MBO), but such a setup makes the visual feedback dependant on the movements of the main body. Here we introduce a VR system called Parasitic Body to explore a VR shared body concept representative of the wearable robotic arms “host” (the MBO) and of the teleoperator (here called the Parasite Body Operator (PBO)). 2 users jointly operate a shared virtual body with a third arm: The MBO controls the main body and the PBO controls a third arm sticking out from the left shoulder of the main body. We focused here on the perspective dependency of the PBO (indeed, the PBO view is dependant of the movement of the MBO) in a “finding and reaching” task.
Human Face Reconstruction under a HMD Occlusion

With the help of existing augmented vision perception motion capture technologies, virtual reality (VR) can make users immerse in virtual environments. But users are difficult to convey their actual emotions to others in virtual environments. Since the head-mounted displays (HMDs) significantly obstruct users face, it is hard to recover the full face directly with traditional techniques. In this paper, we introduce a novel method to address this problem by only using the RGB image of a person, without the need of any other sensors or devices. Firstly, we utilize the facial landmark points to estimate the face shape, expression and pose of the user. Then with the information of the Non occlusion face area, we could recover the face texture and the illumination of the current scene.