Reviewerly/exHarmony huggingface dataset:
Combined cosine-linear regression model similarity with application to handwritten word spotting

The similarity or the distance measure have been used widely to calculate the similarity or dissimilarity between vector sequences, where the document images similarity is known as the domain that dealing with image information and both similarity/distance has been an important role for matching and pattern recognition. There are several types of similarity measure, we cover in this paper the survey of various distance measures used in the images matching and we explain the limitations associated with the existing distances. Then, we introduce the concept of the floating distance which describes the variation of the threshold’s selection for each word in decision making process, based on a combination of Linear Regression and cosine distance. Experiments are carried out on a handwritten Arabic image documents of Gallica library. These experiments show that the proposed floating distance outperforms the traditional distance in word spotting system.
Feasibility study of a coherent feedback squeezer

We investigate a coherent feedback squeezer that uses quantum coherent feedback (measurement-free) control. Our squeezer is simple, easy to implement, robust to the gain fluctuation, and broadband compared to the existing squeezers because of the negative coherent feedback configuration. We conduct a feasibility study that looks at the stability conditions for a feedback system to optimize the designs of real optical devices. The feasibility study gives fabrication tolerance necessary for designing and realizing the actual device. Our formalism for the stability analysis is not limited to optical systems but can be applied to the other bosonic systems.
El enfoque epistemológico de David Hilbert: el a priori del conocimiento y el papel de la lógica en la fundamentación de la ciencia

This paper explores the main philosophical approaches of David Hilbert’s theory of proof. Specifically, it is focuses on his ideas regarding logic, the concept of proof, the axiomatic, the concept of truth, metamathematics, the a priori knowledge and the general nature of scientific knowledge. The aim is to show and characterize his epistemological approach on the foundation of knowledge, where logic appears as a guarantee of that foundation. Hilbert supposes that the propositional apriorism, proposed by him to support mathematics, sustains — on its turn — a general method for the treatment of the problem in other areas such as natural sciences. This method is axiomatic. Broadly speaking, we intend to recover and update the Hilbert’s philosophical thinking about the role of logic for scientific knowledge.
Letter from the Editor (December 2019)

On the international impact and importance of an open access library technology journal.
Design and Analysis of Secure Smart Home for Elderly People

Internet of Things (IoT) technology is used to enhance the safety of the elderly living in smart home environments and to help their caregivers.The daily behaviour of the elderly people is collected using IoT sensors and then evaluated to detect any abnormal behaviour.This research paper analyzes the smart home based anomaly detection system from a security perspective, to answer the question whether it is reliable and secure enough to leave elderly people alone in their smart homes.In this direction comparative analysis of literature is done to identify the potential security breaches on all layers of an IoT device.Further, this paper proposes a secure smart home model, built using Cisco Packet Tracer to simulate a network of IoT devices in a smart home environment.Consequently, a list of security countermeasures is proposed to protect the IoT devices from the identified attacks. .
Exploiting User Comments for Document Summarization with Matrix Factorization

Social media presents a new method for readers who can freely discuss the content of an event mentioned in a Web document by posting relevant comments. The comments provide additional information which can be used to enrich the information of the main document. This paper introduces a new model which integrates user comments into the summarization process. While prior methods consider the same topic number between sentences and comments of a document, we argue that sentences and comments should own their different topics and they also share common hidden topics in term of same or inferred words. From this, we define a new objective function which jointly combines sentences and comments to achieve global optimization. The objective function is optimized by our non-negative matrix factorization algorithm to find out weights of sentence-matrix and comment-matrix for ranking sentences and comments. Experimental results on two datasets in English and Vietnamese show that our model achieves promising results for single-document summarization.
KAJIAN DESORPSI ZAT WARNA INDIGOSOL BLUE DARI ADSORBEN HUMIN HASIL ISOLASI TANAH GAMBUT RIAU, SUMATERA

In this study, the desorption of indigosol blue dyes on humin adsorbent from the isolation of peat soils in Riau, Sumatera has been succesfully done.Desorption was carried out by using HCl as desorption agents with varied concentrations of 0,5;1,0;1,5;2,0 M and without using desorption agents.After the desorption process, there was a shift in the wavelenght at adsorption peak of the functional group of humin adsorbents.This indicated that the active group of indigosol blue dyes was absorbed at the time of adsorption.The spectra FT-IR after desorption showed that there was a shift in the wavelenght which indicated that the active group of indigosol blue dyes had been distorted.The optimum concentration of indigosol blue dye desorption on humin adsorben at 1,5 M.
Multi-objective attendance and management information system using computer application in industry strip

&lt;p&gt;Information technology has played a vital factor in a competitive advantage for various business firms recently. Hence, catching up Investment of IT in most of the traditional industries for competitiveness purposes due to the relationship between organizational performance and IT use. In this study, attendance&lt;br /&gt;and management information system (AMIS) was presented in the industry field based on multi-modules. Modules are management information, time- scheduling and attendance, and employee self- service module. The system used VB.NET environment for programming perspective as well MS SQL server for database storage. The system is secure and robust recordkeeping, keep employee up to date via self- service access, easy to use (simplified) and powerful time and attendance, active work schedules to make an employee happy and keep workers in the loop, as well, review and exporting different reports for staff manager, supervisor, and employee such as absence, vacation, time-off, employee wages, and etc.&lt;/p&gt;
The Synchronous Thermal Analysis Cyber-Physical System for the Wet Materials Properties Study

The article describes the synchronous thermal analysis cyber-physical system operation principle, structure and information processing methods for the heterogeneous wet materials properties researching. The system allows measuring the wet sample heat capacity and evaporation heat of its moisture. The values of these characteristics are necessary to optimize the drying processes of wet raw materials. The system implements the synchronous thermal analysis principle which consists in simultaneously measuring the sample mass change and heat used to evaporate moisture from it. The cyber-physical system consists of a heat unit that provides the necessary temperature regimes, contains heat flux and temperature sensors, heaters, balances and controllers, and electronic unit for data collecting and processing.
Neural Epitome Search for Architecture-Agnostic Network Compression

Traditional compression methods including network pruning, quantization, low rank factorization and knowledge distillation all assume that network architectures and parameters should be hardwired. In this work, we propose a new perspective on network compression, i.e., network parameters can be disentangled from the architectures. From this viewpoint, we present the Neural Epitome Search (NES), a new neural network compression approach that learns to find compact yet expressive epitomes for weight parameters of a specified network architecture end-to-end. The complete network to compress can be generated from the learned epitome via a novel transformation method that adaptively transforms the epitomes to match shapes of the given architecture. Compared with existing compression methods, NES allows the weight tensors to be independent of the architecture design and hence can achieve a good trade-off between model compression rate and performance given a specific model size constraint. Experiments demonstrate that, on ImageNet, when taking MobileNetV2 as backbone, our approach improves the full-model baseline by 1.47% in top-1 accuracy with 25% MAdd reduction and AutoML for Model Compression (AMC) by 2.5% with nearly the same compression ratio. Moreover, taking EfficientNet-B0 as baseline, our NES yields an improvement of 1.2% but are with 10% less MAdd. In particular, our method achieves a new state-of-the-art results of 77.5% under mobile settings (<350M MAdd). Code will be made publicly available.
Denotative and connotative analysis on Elia Pettie’s short story

The learning process in the world of education (ranging from elementary, secondary, and tertiary education) needs innovation and serious renewal creation because in reality so far there are still many learning models that are still conventional, there is no visible improvisation in learning, far from modern learning model in accordance with the demands of the times and the surrounding environmental conditions in which students or students are located. The research aims: 1) to describe how the conditions of second-semester student learning before using the Student Team Achievement Divisions (STAD) method; 2) to describe whether the STAD method of learning the&nbsp;at&nbsp; Widya Dharma Klaten University of II semester student achievement in the 2017/2018 Academic year can increase or not.&nbsp; The work steps taken consisted of five main components, namely presentation in class; form a team; make a quiz; score individually; and awards. Data analysis techniques by using descriptive analysis that is by finding the level of activity, Mean (M), learning outcomes, and learning completeness. The results showed that&nbsp;applying the STAD method there was a significant increase in learning outcomes. &nbsp
Exploiting LSTM-RNNs and 3D Skeleton Features for Hand Gesture Recognition

With the development of deep learning, a hand gesture recognition solution using LSTM-RNNs and 3D Skeleton Features is presented. The 3D skeleton data is acquired by the Kinect sensor. According to the relevant skeleton information, feature vectors are constructed; These hand gestures can be represented as sets of feature vectors that change over time. Recurrent Neural Networks (RNNs) are suited to analyse this type of sets thanks to their ability to model the long term contextual information of temporal sequences. The LSTM is an architecture where RNNs use special units instead of common activation function. Finally, the proposed method was evaluated on the NTU RGB+D dataset. The experimental results show that the proposed method has an accuracy of 92.196% on the selfdefined dataset and it has good robustness.
Pengaruh Aplikasi Android Aneminfo terhadap Pengetahuan dan Sikap Remaja Putri terkait Anemia Defisiensi Besi

Background: Iron deficiency anemia is one of the nutritional problems that still occur in Indonesia which is common in young women. Early nutrition education is needed to prevent these problems. The purpose of this study was to analyze the effect of the android-based educational media "Aneminfo" on the knowledge and attitudes of young women regarding iron deficiency anemia. Method: This research was conducted with a quasi-experimental design with a pre-post control group design with a sample of 37 people for each group taken from 2 vocational schools in the city of Semarang. The intervention was carried out using educational media in the form of the “Aneminfo” android application. Changes in knowledge and attitudes between before and after the intervention were measured using a validated questionnaire and tested using the Wilcoxon and Mann-Whitney tests. Results: The results showed a significant increase in knowledge in the intervention group (p = 0.001), and there was a significant increase in attitude in the intervention group (p = 0.011) compared to the control group. The conclusion of this study is the Aneminfo android application can be an alternative media for the government and health workers in providing education about iron deficiency anemia to increase adolescent knowledge and prevent anemia from an early age.
A study on improving Maritime English performance among cadets at maritime universities

Many studies have been conducted to help improve student performance in academics. Either tested practically or scientifically, both have been implemented. Until now, there has been no ultimate teaching style to ensure student performance in academics while maintaining their motivation to study. This is because students differ in their natural ways of learning. This study was conducted at the University of Malaysia Terengganu (UMT), among Nautical Science and Maritime Transportation students. In this study, research on improving student performance in Maritime English has been conducted. The current system of the learning and teaching process of Maritime English at UMT was determined in this research and, in order to evaluate the current proficiency in Maritime English, content analysis has been used to analyze their final examination paper. Additionally, interview sessions were conducted with a selected expert to obtain a recommendation on how to improve the performance of students in Maritime English. The subjects were among the first-year students of the Bachelor of Nautical Science and Maritime Transportation program. At the end of the research, this paper gives a recommendation on how to improve performance in the learning and teaching processes of Maritime English courses for students at maritime universities around the world.
Quantum Stochastic Walk models for quantum state discrimination

Quantum Stochastic Walks (QSW) allow for a generalization of both quantum and classical random walks by describing the dynamic evolution of an open quantum system on a network, with nodes corresponding to quantum states of a fixed basis. We consider the problem of quantum state discrimination on such a system, and we solve it by optimizing the network topology weights. Finally, we test it on different quantum network topologies and compare it with optimal theoretical bounds.
Research on Image Digital Watermarking Algorithm Based on Matlab

Abstract Digital watermarking technology provides an effective protection method for copyright protection and information security. This paper uses MATLAB’s powerful image digital watermarking function to realize the embedding and extraction of digital image information based on DCT transform domain. The algorithm also effectively attacks the embedded digital image information.
Hierarchical data fusion architecture for autonomous systems

Autonomy is becoming a key issue concerning unmanned vehicles nowadays. An effective functioning of an unmanned system requests the processing of a large amount of data coming from sensors, onboard databases, etc. Therefore, data fusion technology is a key technology used in autonomous systems. In order to systemise such data processing in autonomous systems, special so-called data fusion architectures are used (e.g. JDL, Waterfall, Boyd). However, some of those solutions have many restrictions. A goal of this study is to present a novel hierarchical data fusion architecture that can be used in autonomous systems. This architecture consists of five basic layers: identification of parameters, state identification, object type identification, situation identification, and task implementation identification. The proposed architecture has some advantages in comparison to those that are already in use. The author considers that the presented architecture has good visibility; intuitive understanding; the possibility of deep feedback usage; and good potential for automatic reconfiguration and self-learning. The developed data fusion architecture can be used for building complex data fusion systems on board of autonomous systems, of a group of unmanned vehicles, and even of systems of a higher hierarchy.
Automated Storage &amp; Retrieval System

The California State University, Northridge (CSUN) Oviatt Library was the first library in the world to integrate an automated storage and retrieval system (AS/RS) into its operations. The AS/RS continues to provide efficient space management for the library. However, added value has been identified in materials security and inventory as well as customer service. The concept of library as space, paired with improved services and efficiencies, has resulted in the AS/RS becoming a critical component of library operations and future strategy. Staffing, service, and security opportunities paired with support and maintenance challenges, enable the library to provide a unique critique and assessment of an AS/RS.
H2E: A Privacy Provisioning Framework for Collaborative Filtering Recommender System

A Recommender System (RS) is the most significant technologies that handle the information overload problem of Retrieval Information by suggesting users with correct and related items.Today, abundant recommender systems have been developed for different fields and we put an effort on collaborative filtering (CF) recommender system.There are several problems in the recommender system such as Cold Start, Synonymy, Shilling Attacks, Privacy, Limited Content Analysis and Overspecialization, Grey Sheep, Sparsity, Scalability and Latency Problem.The current research explored the privacy in CF recommender system and defined the perspective privacy attributes (user's identity, password, address, and postcode/location) which are required to be addressed.Using the base models as Homomorphic and Hash Encryption scheme, we have proposed a hybrid model Homomorphic Hash Encryption (H2E) model that addressed the privacy issues according to defined objectives in the current study.Furthermore, in order to evaluate the privacy level, H2E was implementing in medicine recommender system and compared the consequences with existing state-of-the-art privacy protection mechanisms.It was observed that H2E outperform to other models with respect to determined privacy objectives.Leading to user's privacy, H2E can be considered a promising model for CF recommender systems.
Integrated passage retrieval with fuzzy logic for Indonesian question answering system

Question Answer System (QAS) has manymethods in determining candidate answer and must have theright answer for each question. Previous QAS using Fuzzylogic focused on candidate and ranking of answer. However,the QAS needs improvement in determining the relevantanswer from the question and generating the correct answer inthe question answer process. In this paper, we propose a newmethod to combine fuzzy logic and retrieval passages to obtaina collection of relevant answers in order to obtain high answeraccuracy. We take relevant answers from the collection of theanswer document and choose the exact answer using fuzzylogic. Methods for the QAS are preprocessing, questionanalyzer, passage retrieval, passage scoring, scoring for similartext, measuring keyword and candidate answers, fuzzy logiccontroller, rules, and extraction answer. This study producedsignificantly relevant answers compared to the TF-IDFmethod. The performance of the system has improved theaccuracy of QAS by 80% which is better than the previousstudy.
Chebyshev Approximation by Rational Expression Functions of Two Variables

The method for constructing of Chebyshev approximation by rational expression for function of two variables is proposed. Idea of the method is based on constructing the boundary power-average approximation in norm with . Least square method with two weight functions is used to construct of this approximation. One weight function ensures the construction of power-average approximation, and another refines parameters of rational expression by linearization scheme. Iterative refinement of weight functions values is proposed. Results of test examples solving confirm the effectivity of proposed method
Teaching FORGe to Verbalize DBpedia Properties in Spanish

Statistical generators increasingly dominate the research in NLG.However, grammarbased generators that are grounded in a solid linguistic framework remain very competitive, especially for generation from deep knowledge structures.Furthermore, if built modularly, they can be ported to other genres and languages with a limited amount of work, without the need of the annotation of a considerable amount of training data.One of these generators is FORGe, which is based on the Meaning-Text Model.In the recent WebNLG challenge (the first comprehensive task addressing the mapping of RDF triples to text) FORGe ranked first with respect to the overall quality in human evaluation.We extend the coverage of FORGE's open source grammatical and lexical resources for English, so as to further improve the English outcome, and port them to Spanish, to achieve a comparable quality.This confirms that, as already observed in the case of SimpleNLG, a robust universal grammar-driven framework and a systematic organization of the linguistic resources can be an adequate choice for NLG applications.