Reviewerly/exHarmony huggingface dataset:
Sensor Assignment to Missions: A Natural Language Knowledge-Based Approach

A key problem in managing intelligence, surveillance and reconnaissance (ISR) operations in a coalition context is assigning available sensing assets—of which there are increasingly many—to mission tasks. High demands for information and relative scarcity of available assets implies that assignments must be made taking into account all possible ways of achieving an ISR task by different kinds of sensing. Moreover, the dynamic nature of most ISR situations means that asset assignment must be done in a highly agile manner. The problem is exacerbated in a coalition context because it is harder for users to have an overview of all suitable assets across multiple coalition partners. In this chapter, we describe a knowledge-driven approach to ISR asset assignment using ontologies, allocation algorithms, and a service-oriented architecture and we analyse the approach of using a representation based on Controlled English (CE) to improve the interface and human-in-the-loop aspects of the sensor assignment. An illustration of the use of the system from a mobile device is presented.
Evaluating lambda terms with traversals

This paper presents a method to evaluate untyped lambda terms based on a term tree-traversing technique and judicious use of eta-expansion. The traversal method is inspired by Game Semantics. As traversals explore nodes of the term tree, they dynamically eta-expand some of the subterms to locate their non-immediate arguments. A quantity called dynamic arity determines the necessary amount of eta-expansion to perform at a given point. Traversals are finitely enumerable and characterize the paths in the tree representation of the beta-normal form when it exists. Correctness of the evaluation method follows from the fact that traversals implement leftmost linear reduction, a non-standard reduction strategy based on head linear reduction.
Paraphrase Construction of Al Quran in Indonesian Language Translation

In order to better understand Quran one of the important things is to know the relevance and similarity of meaning between the translation sections in Quran. To carry out the process of identifying the similarities and interrelationships between texts, the construction of a paraphrase list is one of the supporting components. In this study, the technique of developing Quran paraphrase was developed using Monolingual and word Alignment. The features used in the study are identical words, word sequences, Align PPDB. The construction of this paraphrase list uses two different versions of the Quran translation which are used as input, then will produce a paraphrase database from the corpus used as the output. The system uses Precision, Recall, and F1 as evaluation metrics. The experimental results show that applying a combination of features can achieve F1 of 80%.
Intelligent Tutoring Systems for Filipino Learners

Intelligent tutoring systems (ITS) research is not a new field of study. Despite its pedagogical value, very few ITS are developed intended for Filipino learners. The dearth of ITS research in a local setting discounted the fact Filipino learners might need a different learning approach. This chapter presented the state of ITS research in the Philippines. Readers would be informed that there is a need for multidisciplinary studies relating to Filipino learners that could serve basis for the development of culturally-related ITS. It also described Filipino learners in terms of culture, and it will attempt to link these descriptions as design considerations for the development of ITS. Finally, it provided insights and directions on how to develop an ITS for Filipino learners.
Head-Based Text Entry Methods for Motor-Impaired People

This article describes methods for text input using head mounted devices. The efficiency of six different virtual keyboards in a 3D environment were evaluated during experiments. Some of used techniques were already known earlier (dwell time, multimodality, swipes), while others are new (control of virtual cursor arrows, 8-button layout, half-star layout). Although the obtained results are not groundbreaking, the obtained results allow a good prognosis for head-based methods using VR goggles.
PENERAPAN DATA MINING MENGGUNAKAN ALGORITMA K-MEANS UNTUK MENGETAHUI MINAT CUSTOMER DI TOKO HIJAB

Hijab is not a foreign thing for the population in Indonesia, because most of the population of Indonesia is Muslim. Today, many business people, especially hijab sellers, provide a variety of brands and models in the hijab they sell. Therefore sellers are required to be able to think intelligently in making a sales strategy that will certainly be useful to know clearly which products are most in demand by customers, and also to increase sales in their stores. Then there needs to be an alternative that can realize the recording of sales transaction data more quickly and structured. In this study the authors applied the k-means algorithm to determine customer interest in the products they sell. In the calculation that has been done by using two parameters, namely the transaction and the number of sales and passing three iterations with the results of iterations one gets a ratio of 0.374324132, the iteration two gets the ratio 0.543018325, and the iteration three gets the same ratio value as second iteration. So it can be concluded that the hijab that is most desirable by the customers is the hijab with the brand Rabbani, Elzatta, and Zoya, the low-interest hijab branded by Dian Pelangi, Kami Idea, and Meccanism. And the hijab with those who are not high and also not low is the hijab under the brand Ria Miranda, Jenahara, Shasmira, and Shafira.
Geoenvironmental Study of Groundwater in the Fundão Area - Portugal

Abstract The area of implementation of the Cova da Beira’s irrigation system, due to its geographical situation and its sustainable socio-economic development requires the execution of geo-environmental studies, focusing on the behaviour of a set of variables with important ecological significance. This study is aimed to characterize the distribution patterns of variables in groundwater samples and their characterization in terms of chemical quality. Hence, an exploratory data analysis was performed in order to characterize the overall sample, followed by a stage in which a multivariate analysis was carried out through a dimensionality reduction technique (analysis of main components). The study of the dynamics of natural processes, anthropic and its influence on the dispersion, fixation and (re)mobilization of chemical elements, has contributed decisively to the optimization of the diagnostic strategy and the environmental management as well.
Alternated Chaotic Biogeography Based Algorithm for Optimization Problems

Chaotic maps have improved the performance of BBO algorithm as chaotic migration and chaotic mutation help in maintaining diversity of the population on a higher level to avoid a habitat's entrapment in the local optimal solutions. Many chaotic maps have been used in BBO algorithm. Recently, alternation method in discrete dynamics has emerged as a powerful tool for control and anti-control of chaos. In this article, it is proposed to use alternated chaotic logistic map in BBO algorithm to improve the performance further.
Online Inverse Covariance Matrix

Some statistical analysis needs an inverse covariance matrix computing. A Gaussian process is a non-parametric method in statistical analysis that has been applied to some research. The Gaussian process needs an inverse covariance matrix computing by given data. Inverse matrix on Gaussian process becomes interesting problems in Gaussian process when it is applied in real time and have big number data. Increasing data number and covariance matrix size need an effective computing algorithm. Some online Gaussian process is developed to solve those real-time cases and increasing of covariance matrix size. Here, we discuss how online Gaussian process is built from an online algorithm of inverse covariance matrix. We do simulation online inverse covariance matrix for efficient time-computing of Gaussian process predictive distribution. We compare performance of online inverse covariance matrix and offline inverse covariance matrix to predictive distribution of Gaussian process. The result shows that time-computing online inverse covariance matrices are faster than offline. Meanwhile, the online inversion to Gaussian process shows that predictive Gaussian processes have the same root mean square error (RMSE) compare to offline inversion. It means that inversion by online affects time-computing, but still the predictive distribution of Gaussian process is preserved.
Fractional-pel Interpolation Algorithm Based on Adaptive Filter

In order to further improve fractional-pel interpolation image quality of video sequence with different resolutions and reduce algorithm complexity, the fractional-pel interpolation algorithm based on adaptive filter (AF_FIA) is proposed. This algorithm adaptively selects the interpolation filters with different orders according to the three video sequence regions with different resolutions; in the three video sequence regions with different resolutions, the high-order interpolation filter is replaced by low-order interpolation filter according to the correlation between pixels to realize the adaptive selection of filter. The complexity analysis results show that compared with other algorithms, this algorithm reduces space complexity and computation complexity, thus reducing the storage access and coding time. The simulation results indicate that compared with other algorithms, this algorithm has good coding performance and robustness for video sequences with different resolutions.
Qubit dynamics in an external laser field

In this paper, dynamics of a qubit in an external laser field is investigated for the non-Markov environment described by an Ornstein-Uhlenbeck process. A non-linear non-Markovian stochastic Schrödinger equation is derived for the quantum system. The stochastic equation is preserved for a positive semi-definite of the density matrix and its trace. By the numerical solution of the equation, the probability of finding the system in the excited state and the influence of non-Markov noise parameters on this probability are studie.
Impact of Vendor Selection on the Total Cost of Ownership of Intra-Data Centre Networks

In this paper we study the impact of vendor selection on the total cost of ownership (TCO) of intra-data centre networks. Besides the unit costs of network components, vendors differ in key technical factors that have direct influence on the network TCO. We quantify this influence by evaluating the TCO of selected network architectures when four vendor solutions are considered, namely, Juniper, Cisco, HPE and Brocade. The results show that the vendor solutions mainly differ in the equipment energy consumption and in the ability to upgrade the network capacity as the server port speeds increase. In particular, a sensitivity analysis shows that the changes in the power consumption caused by the traffic load have an impact on the TCO that strongly depends on the vendor selection.
Evaluation of the Implementation of Basic Literacy Education Program in Bogor Regency, Indonesia

Abstract The purpose of this research is to evaluate the implementation of basic literacy educational program in Bogor regency. This research used discrepancy evaluation model which includes four aspects: (1) design, (2) installation, (3) process, and (4) product. The data werecollected through interview, observation, and documentation. The interviewwas conducted to the chief of development division for non-formal education, implementing officer of curriculum and assessment for nonformal education, head of curriculum and assessmentsection for non-formal education, head of community learning center, tutors and illiterate learners. The data wereanalyzed qualitatively, displayed in narrative text, reducing data, and drawing conclusion. The results showed that all aspects of basic literacy educationprogram were less appropriate than the standard evaluation. Thus,the collaboration among the government, local government, and society are needed to support the development of basic literacy education program next year, in order to bring Indonesia to lifelong literacy.
Sentiment Tendency Analysis of NPC&amp;CPPCC in German News

The sentiment tendency analysis on news reports serves as a tool to study the main stream attitude towards a hot event. With the China's going-out strategy processing, we can effectively avoid the potential risks in the help of the in-depth study and interpretation of China's relevant policy in a certain country and region and the understanding of the local public opinion and the conditions of the people. We can not use the existing mature tools which use Chinese and English as the research object, so the sentiment tendency analysis to German of which relevant work is relatively absent need to be solved. On the basis of completing the basic work of German sentiment dictionary, degree adverb dictionary, negative word dictionary and stop word dictionary, this paper puts forward a set of calculating methods aiming at the sentiment tendencies in German, which is applied to the calculation of the sentiment tendencies related to NPC_CPPCC event in one of the most mainstream media in Germany, and the results of the calculation will be interpreted and analyzed.
Conflict Resolution for Heterogeneous Teams in Communication-limited Environments: A Generous Agent Approach

We present a schedule deconfliction algorithm to enhance cooperation among heterogeneous teams of autonomous agents in situations where communication is severely limited. The proposed solution, which we call the Generous Agent Algorithm (GAA), encodes human-like negotiations during conflict resolution. Individual agents propose modified schedules, vacating their most costly task from their schedules, while simultaneously augmenting their schedules with another agent's vacated task. An act of generosity, as we define it, must not increase an agent's makespan (or schedule completion time) beyond the time set by the team. Thus the GAA ensures that schedule alterations are done without degrading a team's global makespan. We present a proof of bounds on an agent's makespan after an act of generosity, as well as simulation results demonstrating the efficacy of the GAA at reducing task-redundancy and decreasing the makespan.
The Dynamic Display of Art Holography

Holograms have been displayed in single-artist and group exhibitions, since the late 1960’s. The content within a holographic image can be greatly compromised if the hologram is not displayed correctly. Holography exhibitions can either enhance or diminish the impact of the images depending on how the exhibit layout and lighting are designed. This paper looks at art holography from the exhibition installation perspective and offers methods for assuring dynamic displays.
Scholarly Method, Truth and Evidence in Shakespearian Textual Studies

There is a conflict within Shakespeare studies about seemingly new methods that count things in the plays and poems, or about the plays and poems. In this article, I will argue that methods employing numbers are nothing new in Shakespeare studies, so we should be used to them; fears that a kind of numerology is invading the discipline are mistaken. And I will argue that the conflicts really arise not over the understanding of numbers but over the understanding of words. I will offer practical advice on how those unfamiliar with this area of Shakespearian research may distinguish reliable from unreliable investigations, taking in aspects of probability, best practices in using digital texts and tools, and the need to demonstrate any new method’s power to make discriminations we care about.
Studies on Color Fastness of Machine-Made Hanji for the Long-Term Storage of Public Records

Most conservation papers used for the management of domestic records are mainly imported products, which are made of chemical, mechanical, and recycled pulps with various types of organic and inorganic additives. In this study, different colors as per their importance and conservation period were applied to machine-made Hanji papers used for the long-term storage of the public records. In addition, the stabilities of the different colors from the selected pigments for conservation paper products were analyzed.<BR>Additionally, the optimal conditions of adding pigments and additives on colored Hanji paper made from Dak pulp (80%) and SwBKP (20%) for use in conservation were examined. As a result, yellow, blue, white and black pigments showed low color transferability, while gray colored Hanji paper made from mixing white and black pigments showed excellent color fastness. Meanwhile, the colored Hanji paper made with red pigments showed high transferability and poor color fastness. Hanji paper without any pigments also showed transferability and color fastness, but inferior to that produced with red pigments.<BR>Therefore, the study concludes by affirming that the mixed compositions, which consist of yellow, blue and black, with no red pigment but high whiteness and low chrome would be ideal on the machine-made Hanji paper for the long-term storage of public records.
Storytelling Technique Using Three Act Structure and Directed Graph for Virtual Reality Game (case study : UrBandung Legend)

Bandung city is one of the tourist destinations that offers culinary, hospitality, historic buildings. Also, there are unique tours, namely UrBandung Legend. UrBandung Legend is a tour of historical building that have value and mystical elements. Gemmies is a game about UrBandung Legend in the form of a game based on Virtual Reality. The game build using three-story structure storytelling techniques and directed graphs. The purpose of this virtual reality games is to provide an experience of UrBandung Legend for tourists who have not been able to come directly to the city of Bandung. And the results of using the game are shown that indicates the user feels the tourist atmosphere with a mystical atmosphere.
Modelling and calibration of multi-camera-systems for 3D industrial supervision applications

With the advent of industry 4.0, the introduction of smart manufacturing and integrated production systems, the interest in 3D image-based supervision methods is growing. The aim of this work is to develop a scalable multi-camera-system suitable for the acquisition of a dense point cloud representing the interior volume of a production machine for general supervision tasks as well as for navigation purposes without a priori information regarding the composition of processing stations. Therefore, multiple low-cost industrial cameras are mounted on the machine housing observing the interior volume. In order to obtain a dense point cloud, this paper reviews aspects of metric stereo calibration and 3D reconstruction with attention being focused on target-based calibration methods and block matching algorithms.
INSTAFIER: Instagram Profile Verifier

Social media plays a very essential role in our lives. Platforms like Facebook, Instagram, Whatsapp, Twitter etc have become a necessity for everyone. But still, these social media platforms lack or somewhere deviate to provide quality features and accessibility. This paper brings in the concept of a complete integrated system that works on Instagram and calculates the percentage of account's genuinity and fakeness. It also evaluates an account on factors like inactivity or bot account and segregates any given public account into normal, celebrity or promotional account. Our aim is to scan an Instagram profile and show complete analysis of the account by showing pie charts at each and every factor test. These pie charts increase the ability to understand more about the account.
Using Lindenmayer Systems For Generative Modeling Of Graphic Concepts, Set In Elements Of Bulgarian Folklore Embroidery

L-systems as a type of fractal model are one of the most widely used examples of the integration of mathematics and information technology. They can be seen in many elements created with the means of computer graphics, and have become a new tool that is relevant for modeling in biology, geology, and other natural sciences. Along with their applications in advanced technology science, L-systems also refer to archaic models that are surprisingly common in traditional designs of different ethnicities, and some of their basic concepts are also fundamental to systems of knowledge about the Bulgarian embroidery.
Probing a Deep Neural Network

We report a number of experimentsPalmieri, Francesco A. N. on a deep convolutional network in order to gain a better understanding of the transformations thatBaldi, Mario emerge from learning at the various layers. We analyze the backward flow and the reconstructed images, using an adaptive maskingBuonanno, Amedeo approach in which pooling and nonlinearities at the various layers are represented by data-dependent binary masks. We focus on the field of view of specific neurons, also using random parameters, inGennaro, Giovanni Di order to understand the nature of the information that flows through the activation’s“holes" that emerge in the multi-layer structure when an image is presented at the input. We show how the peculiarityOspedale, Francesco of the multi-layer structure is not so much in the learned parameters, but in the patterns of connectivity that are partly imposed and then learned. Furthermore, a deep network appears to focus more on statistics, such as gradient-like transformations, rather than on filters matched to image patterns. Our probes seem to explain why classical image processing algorithms, such as the famous SIFT, have provided robust, although limited, solutions to image recognition tasks.
Optimization Models for Calculation of Personalized Strategies

The chapter considers the problem of calculating the best individual strategy based on models obtained from observations of a given sample object's reaction to the applied control actions. In order to improve the calculation efficiency, the construction of the optimization problem with line dependence on the control variables is offered. To ensure the calculation adequacy, the object state models of optimal complexity, nonlinear with respect to the initial conditions and parameters, are considered. Examples of optimal personalized treatment strategies calculation are given. The proposed approach can be extended to other practical areas to solve the decision making, provided the development of adequate the object state models in the optimization field.
The Less-Used Books Management Using Knowledge Management at Library and Information Health Science Department, Chiang Mai University Library

The less-used books management objective is to provide the work-flow and criteria for removing lesser used books. In addition, it is to provide the information and service regarding less-used materials inquiry by the users to the library staff member. The KM used followed the steps of Identify, create, share, store, and apply. As a result, the library concluded 8 steps strategy for less-used materials management; 1. Establish the criteria for removing less used or no longer in use material, 2. Survey the existing collections, 3. Remove the books that meet the criteria, 4. Document the removed materials, 5. Store the removed materials, 6.Create the discarded books list, 7. Verify the discarded books list, and execute as premised. Each faculty libraries has managed the less-used books following the strategy from 2013 to 2017. In total, the removed less-used materials to storage were 10,745 books. And the weeded out material were 17,445 books. The satisfaction surveys result shows the high level as the emerging spaces provide more accessibility to wanted materials. In addition, the capacity of the library was increased with updated materials on the shelves.