Reviewerly/exHarmony huggingface dataset:
SYNTHESIS AND CHARACTERIZATION OF CoTi(1-X)Mn(X)O3 AS A RADAR ABSORBING MATERIAL

&lt;div&gt;&lt;p class="Els-history-head"&gt;To avoid detection from Radio Detection and Ranging (Radar), one of the efforts is to use Radar absorbing material. One of the Radar wave absorbing materials is Perovskite CoTiO&lt;sub&gt;3&lt;/sub&gt;. This Paper investigated the ability of CoTi&lt;sub&gt;(1-x)&lt;/sub&gt;Mn&lt;sub&gt;(x)&lt;/sub&gt;O&lt;sub&gt;3 &lt;/sub&gt;to absorb the Radar wave. CoTi&lt;sub&gt;(1-x)&lt;/sub&gt;Mn&lt;sub&gt;(x)&lt;/sub&gt;O&lt;sub&gt;3&lt;/sub&gt; with variations x = 0, 0.01, 0.02, and 0.03 have been successfully synthesized using the mechanical milling method. The XRD pattern shows that the sample formed was single phase CoTiO&lt;sub&gt;3&lt;/sub&gt;. Surface morphology resulting from measurements with SEM shows homogeneous particles and an average size of 200 nm. The results of measurements with VNA at X-band frequency (8.20 GHz - 12.4 GHz) show that the absorption ability of electromagnetic waves from CoTiO&lt;sub&gt;3&lt;/sub&gt; increases with the increase in doping from Mn&lt;sup&gt;4+&lt;/sup&gt;. Maximum results obtained at the composition x=0.03 (CoTi&lt;sub&gt;0.97&lt;/sub&gt;Mn&lt;sub&gt;0.03&lt;/sub&gt;O&lt;sub&gt;3&lt;/sub&gt;) with a reflection loss (RL) value is -14.56 dB (%Abs is 81.3%) at a frequency of 9.96 GHz. This result proves that CoTi&lt;sub&gt;(1-x)&lt;/sub&gt;Mn&lt;sub&gt;(x)&lt;/sub&gt;O&lt;sub&gt;3&lt;/sub&gt; can be used as a Radar absorbing material at X-band frequency.&lt;/p&gt;&lt;/div&gt;
Research on the Load Distribution Strategy to Meet the QoE Requirements for Conversational Real-Time HD Video Service

A reliable transmission with QoE (Quality of Experience) guarantee is crucial for internet conversational service applications. However, due to the limited network bandwidth bottleneck effect and the drawback of transmission technology, there exists no mature and open QoE technical solution for this service. In this paper, we focused our attention on a load distribution strategy for multipath relay transmission to meet the QoE requirements of conversational real-time HD video services. It consisted of three stages: First, a series of relay nodes was deployed in the backbone network, and a software defined overlay network was constructed to perform the multipath relay transmission for the service. Second, by an analysis of the QoE feature, a bijection was built for each quantitative QoE and its MOS (Mean Opinion Score) score. Finally, considering the influence of the coupling relation between paths on the service quality in multipath relay transmission, fuzzy cooperative game theory was used to design the service load distribution strategy. Many experiments showed that compared with state-of-the-art methods in the single-path transmission scene, the strategy we designed can dynamically adjust the load distribution of each sub-path according to the change in QoS (Quality of Service) information of the transmission path in real time. While meeting the strict real-time constraints of the service, it can effectively avoid the impact of network random congestion on the service QoE.
A Multi-Criteria Recommendation Framework using Adaptive Linear Neuron

Recent developments in the field of recommender systems have led to a renewed interest in employing some of the sophisticated machine learning algorithms to combine multiple characteristics of items during the process of making recommendations.Considerable number of research papers have been published on multi-criteria recommendation techniques.Most of these studies have focused only on using some basic statistical methods or simply by extending the similarity computation of the traditional heuristic-based techniques to model the system.Researchers have not treated the uncertainty that exists about the relationship between multi-criteria modelling approaches and effectiveness of some of the complex and powerful machine learning techniques; in fact, no previous study has investigated the role of artificial neural networks to design and develop the system using aggregation function approach.This paper seeks to remedy these challenges by analysing the performance of multi-criteria recommender systems, modelled by integrating an adaptive linear neuron that was trained using delta rule, and asymmetric singular value decomposition algorithms.The proposed model was implemented, trained and tested using a multi-criteria dataset for recommending movies to users based on action, story, direction, and visual effects of movies.Taken together, the empirical results of the study suggested that there is a strong association between artificial neural networks and the modelling approaches of multicriteria recommendation technique.
THE MANUFACTURE OF THE PROTOTYPE FIXED CRANE HARBOR AS THE ADDER DEVICE INSIGHT FOR CRANE OPERATOR NOVICE

Fixed cranes are tools used in the process of loading and unloading containers/materials from trucks and vice versa. Most of the young crane (beginners) operators in the port area are still unfamiliar in carrying out these tools, therefore the authors conduct research to make the fixedprototype crane that has functions and controls (including joystick) that allows the original device to remain valid. Insight enhancers in using real fixed cranes. The circuit built from Arduino Uno, DC motor (Gear Hoist and Gear Slewing), servo motor, and joystick as input for motion controllers from all systems. Fixed crane prototypes that have been made above are the best of the hoist system or the best slewing system todetermine the load that can be carried by the system. From the results of these calculations that the prototype fixed crane made has a maximum carrying capacity in terms of hoist and slewing of 90 grams
Research and Design of Integrated Monitoring System for Cement Grinding

This article makes a detailed description of the comprehensive monitoring system for cement grinding enterprises. The SQL database is used to establish a unified plant-wide data storage platform. The client system is an ASP.NET three-tier architecture in B / S mode. An effective method for data integration of the control system in a cement grinding enterprise and the application of data are proposed to solve the current cement Increasing information silos in enterprises. Introduce the overall framework of integrated management of cement grinding intelligent manufacturing, and design comprehensive monitoring modules in detail.
Penggunaan Alat Peraga Kalkulator Kubik Untuk Meningkatkan Motivasi dan Hasil Belajar Siswa SDN Pelambuan 7 Banjarmasin

Researcher thought critically to create a teaching aid that had the potential to increase motivation and student learning outcomes in mathematics subject on the cube root material, namely the Cubic Calculator. This study aims to improve students' motivation and learning outcomes in cube root material. The results of the study showed that there was increase in student motivation of 66.67% to 83.33% and student learning outcomes also increased with the percentage of completion from 40% to 95% with the average value of 58.50 to 80.60. Thus, it can be concluded that the use of calculator cubic teaching aid can effectively increase motivation and learning outcomes of the sixth grade students in SDN Pelambuan 7 Banjarmasin.
The Ideological Embodiment on Nadiem Makarim’s Speech: A Critical Discourse Analysis

This study purposes to uncover the symbolic ideology and the structures of the speech discourse delivered by the current new-inaugurated educational and cultural minister; Nadiem Makarim on National Teacher’s Day. The descriptive qualitative method was employed to shed a light on the interpretation and finding of the study whilst the model of van Dijk in CDA was used to identify and answer the problems. The data were totally elicited from the speech text whilst it was as well used as subject of the study. The documentation method was applied and the data were afterwards expounded descriptively. The finding denotes that of the speech discourse’s structures including macro, micro, and supra, the speech is perceived to have certain language style usage by underlying topic of speech on conveying the mission of providing a change towards Indonesia’s Better Education. In addition, the ideology is as well indicated in ways behind the structures organized. The macro structure puts the ideology beneath the theme and the topic which are in the forms of ideology purposed as system of beliefs and system of actions. In essence, the tendency of the ideology lies on the aspect of speech theme in which it was utilized to invite (deliberately aimed) the educators and all parts getting involved in education realm and to believe and to act as what was expected.
Image Processing of Hand Gesture for Augmented Reality Systems

Advances in HCI technology have an effect on user interaction with AR system.The hands are the limbs that are often used for interaction.In this research make hand detection system for Human Computer Interaction (HCI) on system between user and object.In this study focused on image processing for hand shape and AR object response analysis to detectable hand form.The method used is convex-hull and center of gravity (COG).This method produces the Euclidean finger value which is a feature of the finger shape.Tests conducted in this study are 2 forms of hands that work to zoom + and zoom -to zoom in and out the AR object.The results obtained from testing Euclidean values appear in accordance with the number of fingers detected.Hand detection is influenced by light and distance disturbance, so calibration of segmentation is required.While the 3D object response to the form of zoom + and zoom -reaches 95%.
Special issue dedicated to SFBT 2017

Citation: Alain Miranville. Special issue dedicated to SFBT 2017. Discrete & Continuous Dynamical Systems - S, 2020, 13 (8) : i-i. doi: 10.3934/dcdss.2020179
Visualization 3D Mosaik Picture Formation

This study aims to reveal and explore the visualization of the formation of Mosaic 3D Formation of 2,957 new students at UPN Veteran Jakarta. Visualization through the concept of Aerial Cinematography is expected to be an aesthetic enhancer in mosaic works. This mosaic is a work of art made of elements and arranged so that it becomes a 3-dimensional image or design. This research was designed as an experimental study which focused on two parts. First, try out the composition of the picture elements to form a unity that is in harmony with the overall formation movement. The second trial focused on visual exploration, which originated from the concept of aerial cinematography. The resulting mosaic visualization consists of three images with the writing of Patribera 2019, Kampus Bela Negara and PIKIR work culture logo with super high angles and long distances or called birds point of view.&#x0D;
칠언율시의 형식적 특징으로 본 서곤파(西崑派)와 안수(晏殊)

The characteristic of the Xikun-style Poetry is among other things, its pursuit of formal beauty. Therefore, it can be inferred that the Latter Xikun-style Poetry that followed the Xikun-style Poetry also sought formal beauty. Under this assumption, this paper is part of the study to find out the relationship between the Xikun-style Poetry and the Latter Xikun-style Poetry.This paper compared Xikun-style Poetry’s Seven-Character Poems with the writer of the Latter Xikun-style Poetry ― Yan Shu’s Seven-Character Poems in terms of core elements of the Modern-style Poetry ― rhyme scheme of level and obligue tones and the rhymes. Both of them inherit Tang Dynasty poetry, but on the other hand, they tried to create a distinguishing feature of the Song Dynasty poetry from it as a Song Dynasty poet. Their attempts at breaking rules and changes is meaningful that they have laid the foundation for the Song Dynasty poetry, because of its association with the characteristics of the Song Dynasty poetry. But from a comparative point of view, Yan Shu’s Seven-Character Poems has made more aggressive attempts at breaking news than Xikun-style Poetry’s Seven-Character Poems, it can be understood that this reflected the social background of the time.
INVESTIGATING RISK MANAGEMENT IN MUNICIPALITIES IN UNITED ARAB EMIRATES (UAE): AN EMPIRICAL RESEARCH

In the last decade, the lack of professionalism on government institution has given the serious concern among the practitioners and scholars in dealing with the creative approach on management in handing the risk and its common type of methods. Such attainment could be transmitted into the Risk Management Success Factor (RMSF) on the government performance in United Arab Emirates (UAE). The need to examine properly on the way of implementing the risk management together with the procedure of success factors should be considered in particular. With the number of respondent on 163, the survey was conducted through three Municipalities in three different cities in UAE. The method was using Partial Least Squares Structural Equation Modelling (PLS-SEM) for hypotheses purpose. This study reveals that RMFI, and RMSF have positive and significant effects on the performance of government institutes. The contribution here refers to support the value in offering the strategic management of comprehending the feedback and impact on firm performance. This study is also expected in promoting the strategic approach culture in enhancing the risk consciousness in institution. Through establishing the commitment to manage the information system on risk management, knowledge sharing could be developed in further to deploy in expanding comprehensive analysis together with pointing out the strategies in enhancing capabilities and competence to properly and wisely manage the risk control in the operational activities.
Perancangan Perpustakaan Hibrida di Universitas Nusa Cendana Dengan Konsep “Intelligence in Flexibility”

The University of Nusa Cendana (UNDANA) was known as the only State University in the City of Kupang that should be having a library system service that could utilize the developments of current technology. Despite the fact that UNDANA has not been applying the function system service as support system makes the collection of the library still cannot easily be access by users until then. The users are still searching through the collections manually. As one of the element of supporting, the library of UNDANA still has not anticipating the demands of the users according to their needs in the utilization of digital service systems. The library of UNDANA rather known as stiff library needs a new atmosphere in order to increase students' interest in reading also for maintaining the existence of campus library. By creating the hybrid library through the application of Intelligence in Flexibility as the concept will be a source of an appropriate information for students. This hybrid library concept will be provide intelligence as problems solving for the library users neither as easily, quickly, flexible, less of stiff nor in the flexibility of intelligence.
Investigation and design of monitoring systems in real time landslides at Xekaman 3 hydropower plant

This paper presents results of investigating, designing, and building a monitoring system in real-time based on GNSS CORS technology in order to monitor landslides at Xekaman 3 hydropower plant in the Lao people’s Democratic Republic. A system with 18 monitoring stations and a CORS station has been designed to ensure the operation of system 24/7. The connection diagram for data transmission from the monitoring stations to the data processing center, as well as the connection diagram of the devices at a monitoring station has been designed. A simulation experiment has shown that the designed system can be applied for real-time monitoring of landslide.
Responsive Motif Exploration Using Symmetry Dependency Syntax

Motifs are widely used as textures on daily products for their regular and repetitive aesthetics. However, motif design is hard for novices. In this article, we introduce a design exploring system to enable novices to experience motif design easily by simple interactions. We propose the symmetry dependency syntax to encode motif elements and symmetric relations to diverse tree structures. Based on that, we provide motif variation mechanisms, including propagation, adjustment, and attachment, to generate new motifs while recovering motif symmetries broken by the user's manipulations on a motif. When the user deletes, inserts, transforms or replaces an element in a motif, the system automatically generates diverse new symmetric motifs by an encoding-variation flow. Experimental results show that our system can generate diverse motifs in regular visual effects with simple editing interactions, significantly reduce the barrier of motif design for novices.
Research on Equipment Support Command Information Fusion Based on Cloud Computing

Information warfare, information is numerous, true and false is difficult to distinguish, this paper proposes to apply cloud computing technology to the information fusion process, to avoid the equipment support commander being misled by a large amount of useless information. Based on the introduction of the concept of cloud computing and information fusion, a cloud computing-based equipment support command information fusion model is constructed, and the principle of equipment support command information fusion based on cloud computing is briefly described.
Experimentnal Approach to the Design of the Links of a Delta Robot

This paper shows the mathematical development of a Delta parallel robot of four Degrees Of Freedom (DOF) to obtain the length of its links, solving its direct and inverse kinematics and workspace's robot is posed and finally, the dimension links are obtained by six different kinds of multi algorithm to maximize the workspace and dexterity of the robot
Handling Numerical Features on Dataset Using Gauss Density Formula and Data Discretization Toward Naïve Bayes Algorithm

Naïve Bayes is one of best classifiers in data mining.Naïve Bayes Algorithm either is used in some research areas.Besides having good performances, the algorithm can also handle numerical and categorical data values.This paper presents two ways of treating numerical features as a pre-process before implementing Naïve Bayes algorithm in classifying a dataset.First way is by implementing Gauss Density Formula.In second way, we treat the numerical features to be categorized manually by involving the experts.This study start from collecting data which contains numerical attributes in majority.Then dataset will be treated by using first way and second way.We validate the performance of algorithm by using 10-Fold Cross Validation.The considered performances in this research are accuracy, precision, and recall.The result shows that treating numerical features using Gauss Density Techniques outperforms the treatment by discretizing numerical features of nominal values.First way obtains 80% accuracy, 80,61% of precision average, and 80,41% of recall average value while the second way reaches 65% of accuracy, 63,95% of precision average, and 66,43% of recall average.
ANALYSIS OF THE MOTIVATION FIELD OF ENGENEERS-EDUCATORS’ READINESS FOR PROFESSIONAL MOBILITY

The article is devoted to the theoretical analysis of the motivational field of computer engineers' readiness for professional mobility. The notion ‘motivational field’ is determined to contain the system of personal values and professional plans that positively reflect social, professional and personal significance of vocational education. They also influence the formation of motivational system ofpurposeful creative mastery of professional competences for the development of professional mobility.It has been discovered that the professional side of this phenomenon should be determined when forming professional mobility. They include nature of the subjects’ value desires; theoretical, creative, practical elements, and specific features of behavioral settings. They are known to be realized in terms of a person-society interaction, activity, development or self-development.It is emphasized that readiness for professional mobility depends on professional development. It is noticed in professionalism as readiness to perform professional activity tasks at a high level; in regular professional development, creative activity, the ability to meet productively the growing demands of the profession. The precondition for the development of individual professionalism is emphasized to be a sufficiently high level of development of professionally significant personality traits, their professional potential, which will provide the opportunity to perform professional activity.Motivational field of a would-be professional is proved to have an important impact on motivational field of computer engineers’ readiness for professional mobility. It is also an effective adaptational instrument for social and professional activity.
Maximum average entropy-rate based correlation clustering for big data

Clustering is one of fundamental tasks of data mining and machine learning. Due to the limitation of cluster assumption, lots of clustering algorithms perform poorly on some datasets against their assumptions, especially high-dimensional big data. This paper presents a maximum average entropy-rate based correlation clustering algorithm which is a kind of a graph-based correlation clustering. The objective function of original correlation clustering is decomposed into several single cluster optimizations and the limitation of big data in correlation clustering is removed by the neighboring connected graph. In algorithm implementation, the optimization of proper neighbor searching and correlation clustering are performed by heuristic neighbor searching and cluster generating respectively, and there is also an efficient graph-iterated implementation on distributed computation platform. Compared with other clustering algorithms, the proposed clustering algorithm is more flexible in cluster assumption, when accelerating the clustering process. In an experimental study we demonstrate the performance of the proposed algorithms on several datasets. The proposed clustering algorithm performed better than the other six clustering algorithms on the highest f1-measure and purity values, while its running time on high-dimensional big data is much lower than other clustering algorithms.
Preliminary Evaluation of the Utility of Deep Generative Histopathology Image Translation at a Mid-sized NCI Cancer Center

Abstract Evaluation of a tissue biopsy is often required for the diagnosis and prognostic staging of a disease. Recent efforts have sought to accurately quantitate the distribution of tissue features and morphology in digitized images of histological tissue sections, Whole Slide Images (WSI). Generative modeling techniques present a unique opportunity to produce data that can both augment the data used to train these models and translate data across different processing procedures both intra and inter-institutionally while providing cost-effective ways to perform computational chemical stains (synthetic stains) on tissue and facilitate the creation of diagnostic aid algorithms. However, a more critical evaluation and understanding of these technologies is necessary before their incorporation into a clinical workflow. We illustrate several potential use cases of these techniques for the calculation of nuclear to cytoplasm ratio, synthetic SOX10 immunohistochemistry (IHC, sIHC) staining for accurate identification of melanocytes, and conversion of hematoxylin and eosin (H&E) stain to trichome stain for the staging of liver fibrosis.