Reviewerly/exHarmony huggingface dataset:
Multi-Objective Optimization for Worldview Image Segmentation Funded on the Entropies of Tsallis and Rényi

The article describes a new method of threshold satellite image, based on the optimization multi-objective for segmentation of Worldview images and funded on the Tsallis and the Rényi entropies, allowing the evolution of the satellite image classification.Owing to the goal of achieving a large classifying all unclassified pixels by the previous method in 2017 in our research laboratory.An improved analysis and a multi-objective optimized thresholding method was proposed.Firstly, we are calculate the optimal thresholds with respect to the criteria retained such as the Tsallis criterion and the Rényi criterion.Lastly, we are challenging the performance of our method to that developed previously in 2017.The new method effectiveness evaluation confirmed by the calculation of the evaluation criterion related on both the Levine and Nazif criterion and the Mean Squared Error criterion.The results obtained by our approach were very satisfactory.It was been shown that the method overcomes the difficulties of the method previously developed in 2017 and obtained results that are more precise.In particular, for synthetic images, the segmentation accuracy increases by 81.16% and for the satellite images, the segmentation also improves enormously, and the accuracy of the overall classification of Worldview images increases by 97.21%.Therefore, the new method based on multi-objective optimization contribute significantly to performance.
Research on Knowledge Representation of the National Cultural Resources based on $\mathrm{CTL}-\mathrm{DDL}_{\mathrm{ALC}}$

Description logic is a formal language of knowledge representation. Among the knowledge of national cultural resources, most knowledge are dynamic. Through the analysis ALC, ALC lacks the ability to represent dynamic cultural resources. To solve this problem, this paper adds action operator and temporal operator based on ALC, which can be extended in order to describe the national cultural resources with knowledge changes, and puts forward the knowledge representation based on national cultural resources of $\mathbf{CTL-DDL}_{\mathbf{ALC}}$ . The knowledge and rules needed in the reasoning process of national cultural resources should be unified and standardized, in order to ensure the expression and reasoning research of national cultural resources knowledge.
Algoritmos genéticos e de evolução diferencial aplicados à otimização de controladores utilizando a norma H2 como critério de desempenho

AbstractThe controller synthesis using the 2 H norm as performance criterion is usually solved either using conditions based on linear matrix inequalities or through the resolution of Riccati equations.However, conservative results may arise if other constraints, or even if non-convex design criteria, are incorporated.In this sense, this work proposes to analyze the efficiency of heuristics by the application of evolutionary algorithms in the synthesis of controllers using 2 H norm as a performance criterion.The controllers obtained by genetic and differential evolution algorithms are simulated computationally by MATLAB / Simulink® software, and also tested experimentally into a torsional system.It is also necessary to evaluate the closed-loop physical implementations of this system and to analyze if it is necessary to add different constraints to assure the implementability of the obtained controller.It is important to emphasize that the implemented algorithms can be easily adapted to any system, if the mathematical model is known.
METHODS OF SAFETY DOMESTIC SECURITY

This study focuses on the problem of Internet of Things (IoT) security, namely: an overview of threats to the information security of a smart home and the analysis of existing security methods for its devices. The Internet of Things is experiencing an exponential growth in research and industry. At the same time, security threats to information programs and databases are increasing. As it is known, the foundation of Internet of Things security consists of four parts: communication security, device security, device monitoring and network interaction control. The sources of threats and vulnerabilities of IoT information security are accordingly investigated. Conventional security and privacy approaches are generally not applicable to IoT, mainly because of its decentralized topology and limited resources of most of its devices. The analysis of scientific sources has allowed us to explore different approaches to secure a smart home: an architectural method with three modules to protect the confidentiality of smart home data analysis; network-level constraint method; Blockchain technology. It is determined that the proposed blockchain smart home platform enables the security of information, taking into account the basic security goals - confidentiality, integrity and accessibility. Blockchain can be used to track sensor data measurements and prevent duplication of any other malicious data, for authentication and secure data transmission. This research will help design and develop new methods and technologies for smart home security. &nbsp
Extractor Lower Bounds, Revisited.

We revisit the fundamental problem of determining seed length lower bounds for strong extractors and natural variants thereof. These variants stem from a change in quantifiers over the seeds of the extractor: While a strong extractor requires that the average output bias (over all seeds) is small for all input sources with sufficient min-entropy, a somewhere extractor only requires that there exists a seed whose output bias is small. More generally, we study what we call probable extractors, which on input a source with sufficient min-entropy guarantee that a large enough fraction of seeds have small enough associated output bias. Such extractors have played a key role in many constructions of pseudorandom objects, though they are often defined implicitly and have not been studied extensively.Prior known techniques fail to yield good seed length lower bounds when applied to the variants above. Our novel approach yields significantly improved lower bounds for somewhere and probable extractors. To complement this, we construct a somewhere extractor that implies our lower bound for such functions is tight in the high min-entropy regime. Surprisingly, this means that a random function is far from an optimal somewhere extractor in this regime. The techniques that we develop also yield an alternative, simpler proof of the celebrated optimal lower bound for strong extractors originally due to Radhakrishnan and Ta-Shma (SIAM J. Discrete Math., 2000).
Generating gestures by SMA micro hand of small robot

Communication robots should be better as small as an infant for reducing the user's feeling of pressure. And non-verbal communications (such as gestures) are also important for smooth communication between human and robots. In this paper a small robot hand for gesture communication by using SMA (Shape Memory Alloy) is proposed. Each finger is driven by an individual SMA wire. Required specifications of size, operation angles and response times for the robot finger were decided according to the human finger. These required specifications were fulfilled by considering the geometric designs and heating/cooling power control. The five finger hand is also under fabricating. The five finger hand is now under fabrication, and designing how generate and control its gestures.
Preliminary Study on Color Reduction of Digital Images

This paper proposes a method for acquiring target color parameters based on digital cameras in the field. A preliminary model of color reduction is proposed by using the acquired digital images to achieve fast and accurate real parameters of color, which provides a reference for camouflage design. The research starts from the imaging principle of digital camera and the conversion of color space. By designing the experimental scheme and conducting a large number of experiments according to the scheme, the digital image obtained is analyzed and processed, and a digital image color restoration model is proposed.
IMPLEMENTASI SISTEM VOUCHER DENGAN ROUTER MIKROTIK

&lt;em&gt;Voucher system is a feature owned by&lt;/em&gt; Mikrotik &lt;em&gt;to facilitate network administrators to manage access on the router based on bandwidth allocation, website filtering and access time settings&lt;/em&gt;. &lt;em&gt;This final project will be implemented voucher system at&lt;/em&gt; PT. Tunggul Sakti Sejahtera. &lt;em&gt;The number of employees is approximately 25 employees at headquarters who own a smartphone and connect to the company's Access Point&lt;/em&gt;. &lt;em&gt;Bandwidth allocation, website filtering and access time setting for each employee can not be limited. To solve the problem, the authors plan to implement a voucher system on the network of&lt;/em&gt; PT. Tunggul Sakti Sejahtera.&lt;em&gt;Implementation method of voucher system used is&lt;/em&gt; CISCO &lt;em&gt;Network Cycle PPDIOO method has Prepare, Plan, Design, Implement, Operate, and Optimize. Implementation of voucher system at&lt;/em&gt; PT. Tunggul Sakti Sejahtera &lt;em&gt;uses router&lt;/em&gt; Mikrotik Routerboard 750 &lt;em&gt;series&lt;/em&gt; &lt;em&gt;and&lt;/em&gt; D-Link &lt;em&gt;access point as a repeater device&lt;/em&gt;. &lt;em&gt;Voucher system can optimize network management at&lt;/em&gt; PT. Tunggul Sakti Sejahtera &lt;em&gt;so it can facilitate network administrator in managing computer network&lt;/em&gt;.&lt;em&gt; Documentation of system is done periodically, if the system crashes it can be restored&lt;/em&gt;
Information and Communication Technologies (Icts) and Innovative Financing in a Developing Economy: An Exploratory Approach in Beac Area

Information and communication technologies have grown remarkably over the last 20 years. They are not only a means of information management but also a process of saving mobilization that is very much missing in developing countries. Financial savings, a variable in the financing of the economy and development, can be mobilized if the strategies to collect savings integrated ICTs as a mobilization process. Monetarization, which is one of its forms, is a fundamental variable that can boost the financing process by the mobilization of savings.
PERWUJUDAN PRINSIP DESAIN AKTIF PADA REVITALISASI RUANG TERBUKA PUBLIK KOTA. Studi Kasus : Lingkungan Saparua Park, Kota Bandung

The advancement of development, technology and urban culture, globally has produced various positive and negative impacts on environmental conditions and human life. One of the negative impacts is the declining public health factor. At present, the main cause of death in urban communities is cardiovascular disease caused by people's lifestyles that are minimal to carry out physical activity or sedentary lifestyle. Based on these phenomena there are various design principles for the physical environment, one of which is the principe of Active Design. The Active Design can be understood as a set of principles in designing the physical setting of the environment so that it can stimulate its users to carry out physical activity without them knowing it. The Active Design Principle is seen as having a significant impact on increasing public health factors when applied to the urban public spaces. In line with these thoughts, in the city of Bandung there has been a phenomenon of improvement in the city's public space, one of which is the revitalization of Saparua Park. There is an interesting thing about the revitalization of the Saparua Park environment, namely the incorporation of two dominant concepts in one unit of the environment, thematic garden concepts for recreational needs and the concept of sports complexes for the needs of public sports facilities. This research is a qualitative-descriptive study which contains the formulation of Active Design indicators in the urban public space based on literatures. Then evaluate the physical settings of Saparua Park environment after revitalization based on Active Design indicators that have been formulated. Produced an understanding of the extent to which the principles of Active Design materialize in the physical environment of Saparua Park, the potential for future development and any manifestation that can be used as an example for designing urban public spaces elsewhere.&#x0D; Keywords : Active Design, Urban Public Space, Public Health, Revitalization
Comparison of Kernel Support Vector Machine (SVM) in Classification of Human Development Index (HDI)

Human Development Index (HDI) is one of measuring instrument of achieving quality of life of one region even country. There are three basic components of the Human Development Index compilers: health dimension, knowledge dimension, and decent living dimension. Classification is a method for compiling data systematically according to the rules that have been set previously. In recent years, classification method has been proven to help many people’s work, such as image classification, medical biology, traffic light, text classification etc. There are many methods to solve classification problem. This variation method makes the researchers find it difficult to determine which method is best for a problem this framework is aimed to compare the ability of classification methods, such as Support Vector Machine (SVM) Linear Kernel, Radial Basis Function (RBF) Kernel and Polynomial kernel methods. The result of classification of HDI by using RBF kernel is the best kernel to solve HDI problem, with parameter combination cost= 1 and gamma=1 obtained classification accuracy of 98.1% which is the best classification accuracy.
The Grammar of Singapore English Used in Skype Conversation

&lt;p class="abstrak"&gt;&lt;em&gt;This article aims at investigating the grammar of conversation occurred among PT. BSI staffs and Cocomas Singapore (CMS) staffs. Since it was a cross cultural communication, the conversations were mostly taken place via Skype. Most of the time, CMS staffs used Singapore English (Singlish) during the interaction in the workplace while the government of Singapore has encouraged Singaporeans to speak grammatically correct English in formal settings such as workplaces. In this article, the researchers analyzed the conversation by describing tha grammar used in the Skype conversation. The data were collected from Skype chat history derived from daily conversation among the staffs of BSI and CMS. Then, the data were analyzed and described based on the grammatical characteristics of Singlish proposed by &lt;/em&gt;&lt;a title="" href="#_ftn1"&gt;[1]&lt;/a&gt;&lt;em&gt;. The findings reveal that the grammatical features of Singlish mostly appeared in the conversations were copula deletion, agreement, and the use of particles. In short, all participants fully utilized Singlish rather than SSE in discussing their work&lt;/em&gt;&lt;em&gt;.&lt;/em&gt;&lt;/p&gt;&lt;div&gt;&lt;p class="StyleAuthorBold"&gt;&lt;strong&gt;Abstrak&lt;/strong&gt;&lt;/p&gt;&lt;/div&gt;&lt;div&gt;&lt;p class="abstrak"&gt;Artikel ini bertujuan untuk menyelidiki tata bahasa percakapan yang terjadi di antara staf PT. BSI dan Cocomas Singapore (CMS). Karena percakapan ini merupakan komunikasi lintas budaya, sebagian besar percakapan dilakukan melalui Skype. Staf CMS menggunakan Bahasa Inggris Singapura (&lt;em&gt;Singlish&lt;/em&gt;) selama berinteraksi di tempat kerja sementara pemerintah Singapura telah mendorong warga Singapura untuk menggunakan bahasa Inggris yang benar secara tata bahasa dalam situasi formal seperti ditempat kerja. Pada artikel ini, para peneliti menganalisis percakapan dengan menjelaskan tata bahasa yang digunakan dalam percakapan Skype. Data dikumpulkan dari riwayat obrolan Skype yang berasal dari percakapan harian antara staf BSI dan CMS. Kemudian, data dianalisis dan disajikan berdasarkan karakteristik tata bahasa Singlish yang diusulkan oleh &lt;a title="" href="#_ftn1"&gt;[1]&lt;/a&gt;. Temuan mengungkapkan bahwa fitur tata bahasa &lt;em&gt;Singlish&lt;/em&gt; sebagian besar muncul dalam percakapan adalah penghapusan kopula, kesepakatan, dan penggunaan partikel. Singkatnya, semua peserta sepenuhnya menggunakan &lt;em&gt;Singlish&lt;/em&gt; daripada SSE dalam mendiskusikan pekerjaan mereka.&lt;/p&gt;&lt;div&gt;&lt;br clear="all" /&gt;&lt;hr align="left" size="1" width="33%" /&gt;&lt;div&gt;&lt;p&gt;&lt;a title="" href="#_ftnref1"&gt;[1]&lt;/a&gt; Leimgruber (2011)&lt;/p&gt;&lt;/div&gt;&lt;/div&gt;&lt;br clear="all" /&gt;&lt;hr align="left" size="1" width="33%" /&gt;&lt;div&gt;&lt;p&gt;&lt;a title="" href="#_ftnref1"&gt;[1]&lt;/a&gt; Leimgruber (2011)&lt;/p&gt;&lt;/div&gt;&lt;/div&gt;
Previsão Inteligente de Séries Temporais Baseada em Redes Neuro-Fuzzy Takagi-Sugeno Evolutivas Distribuídas

This paper proposes an evolving methodology based on Neuro-Fuzzy Takagi-Sugeno networks (NF-TS) distributed for time series forecasting.This proposed approach extracts the unobservable components from time series.Then, the forecast is performed separately for each component, and there is an NF-TS associated with each of these patterns, a fact that highlights the distributed characteristics of proposed approach.The NF-TS are still evolving, i.e., using the data of components to adapt and adjust their structure, where the amount of fuzzy rules of that network can increase or be reduced according to the behavior of components.The method used to extract the components is based on Singular Spectral Analysis technique.The proposed methodology was evaluated and compared with other similar techniques applied for series forecasting, presenting promising results.
Image Annotation as Text-Image Matching: Challenge Design and Results

This paper describes the design of the 2017 RedICA: Text-Image Matching (RICATIM) challenge, including the dataset generation, a complete analysis of results, and the descriptions of the top-ranked developed methods. The academic challenge explores the feasibility of a novel binary image classification scenario, where each instance corresponds to the concatenation of learned representations of an image and a word. Instances are labeled as positive if the word is relevant for describing the visual content of the image, and negative otherwise. This novel approach of the image classification problem poses an alternative scenario where any text-image pair can be represented in such space, so any word could be considered for describing an image. The proposed methods are diverse and competitive, showing considerable improvements over the proposed baselines.
Ontopsychological aspects of artistic communication in the context of paradigmal changes within the system of modern art education

The article is devoted to the problem of improving the quality of the training aimed at future teachers of Art disciplines in the context of paradigmatic changes within the system of modern art education. Based on the methods of theoretical analysis, generalization and abstraction, the state of research of the scientific problem has been clarified; the viewpoints of some researchers in this regard have been determined and connected with the ontological content of artistic communication. There have been considered scientific conceptual directions for defining the essence of the “artistic communication” and “ontological aspects of being” phenomena in the context of: philosophical concepts (M. Bakhtin, M. Buber, M. Kahan, V. Frankl et al.), ontological conditions of communication in the hermeneutic paradigm (H.-G. Gadamer, P. Ricœur); ontological ideas of the philosophers-existentialists, representatives of humanistic psychology (A. Maslow, K. Rogers, R. May), theoretical concepts of the ontological dimension of the “being” intended for the subjects of the artistic and educational process (N. Huralniuk, O. Yeremenko, O. Mykhailychenko, O. Oleksiuk, V. Orlov, G. Padalka, O. Rebrova, O. Rudnytska, V. Fedoryshyn, O. Shcholokova et al). The synthesis method enabled us to make a deliberate formulation of the author’s definition. The phenomenology of communication in the artistic and educational projection as a vector of humanistic orientation of the subjects of interaction with an art to the awareness and correction of their own subjective development has been presented. The author emphasizes the implementation of the existence-centred and reflexive approach, which makes it possible to achieve coherence between ontological positions of the teacher and the student in the process of communicating with arts. The author’s position, according to which communication is determined by the deep onto-psychological connection between two individuals oriented to meeting the other type of existence and involves the achievement of a spiritual unity between them in the joint work, has been grounded. Keywords: higher Art education, future teacher of Music, the existence-centred and reflexive approach, onto-psychological aspects, values, meanings, artistic communication.
Regional Classifiers: A Novel Framework for Pattern Classification

The global classification paradigm uses the entire training set for building a single discriminating model for distinct classes.Alternatively, the local classification approach builds multiple discriminating models using smaller subsets of the training data.By considering these two paradigms as the extremes of a spectrum of possibilities, in this paper we introduce a novel two-stage framework for building pattern classification models based on the clustering of the selforganizing map (SOM) approach Vesanto and Alhoniemi (2001).According to this technique, data samples are submitted to the SOM as a preprocessing stage.Then, clustering algorithms (e.g. the K -means) are applied to the prototype vectors of the SOM aiming at organizing them in well-defined groups.By applying this two-stage strategy to labelled data, we show how to build accurate classifying models, henceforth referred to as regional classifiers, using the subset of samples mapped to a specific cluster of SOM prototypes.A comprehensive comparative study is carried out in order to evaluating the effectiveness of the proposed approach on several benchmarking data sets.
Multi-Label Topic Model Conditioned on Label Embedding

In most real-world document collections, there are various types of labels that usually carry context information, such as label hierarchies or textual descriptions. Nonetheless, the commonly-used approaches to modeling text corpora ignore this information. Label embedding can reflect more extensive label context information and have a capability of leveraging various sources of information. In this paper, we propose a multi-label topic model conditioned on label embedding, which incorporate label embedding into the generative process of multi-label topic models in text domain, so as to improve documents classification accuracy and topic quality. By introducing Dirichlet-multinomial regression (DMR) framework into a multi-label topic model called Labeled LDA(LLDA), our model apply an exponential priori constructed previously with label embedding on the hyperparameters of document-label distribution, which reflects the effects of label embedding on label probability distribution. The experimental results demonstrate the potential of our model through an exploration of a standard document dataset.