Reviewerly/exHarmony huggingface dataset:
Face Recognition on Bag Locking Mechanism

With the emergent of biometric technology, people are no longer afraid to keep their important things in the safe box or room or even facility. This is because; human beings have unique features that distinguish them with other people. The scheme is based on an information theory approach that decomposes face images into a small set of characteristic feature images called ‘Eigenfaces’, which are actually the principal components of the initial training set of face images. In this report, thorough explanation on design process of face recognition on bags locking mechanism will be elucidated. The results and analysis of the proposed design prototype also presented and explained. The platform for executing the algorithm is on the Raspberry Pi. There are two artificial intelligent techniques applied to manipulate and processing data which is fuzzy logic and neural networks. Both systems are interdependent with each other, so that it can calculate and analyse data precisely. The receive image from the camera is analysed through the Eigenfaces algorithm. The algorithm is using Principal Component Analysis (PCA) method which comprise of artificial neural network paradigm and also statistical paradigm.
Geochemical Behavior of Heavy Metals During Treatment by Phosphoric Fertilizer at a Dumping Site in Kabwe, Zambia

Kabwe area in Zambia has been affected by heavy metal contaminations which derived from past mining activities. Particularly, Pb is one of the most concerned elements for human health in Kabwe. In this context, treatment by phosphoric fertilizer was conducted to reduce Pb solubility in soil and slag, limiting their bioavailability. Because leach plant residue in Kabwe contains metal sulfate minerals with high solubility, concentration of heavy metals in groundwater is high. We clarified the geochemical behavior of heavy metals (Pb, Cd, Zn and Cu) after the addition of phosphoric fertilizer (Triple Super Phosphate: TSP) in column experiment. Immobilization of Pb and Cd lowers concentration of the metals in ground below WHO environmental standard.
Modelling of Deterioration of Electrical Insulation of Low Voltage Power Lines Seaports

The paper deals with the problem of analysis of time between failures (wear) of electrical insulation in conditions of lack and inaccuracy of data on the state of the object. The study of the specifics of the aging of such a system element of the sea port power supply as the isolation of power cable lines shows its importance in influencing the reliability of the port power supply. Marine intra port electrical network has its own specifics - firstly, it is a low-voltage network and high-ampere, in which the role of partial charges is minimal, secondly, in marine low-voltage power lines there are areas of increased sensitivity to the environment associated with the output of the power line (cable) from trenches to current collectors and contact columns with stripping insulation, which begins to contact with the environment, thirdly, in connection with the above, the humidity plays a destructive role, acting together with increased temperature. In the process of building a model of operating time before insulation deterioration, factors that are measurable with the help of devices are taken into account, and they also significantly characterize the long-term effect on insulation deterioration and lead to a state of failure. This article develops a mathematical model based on inaccurate data with estimated limits of inaccuracy. To solve the problem, computer simulation using the membership functions of fuzzy sets is proposed. Using the developed software in Mathcad obtained the numerical results of time to failure.
Assessing the Satisfaction of Students on Grading System of Wolaita Language Major Courses with Special Reference to Regular Wolaita Language Students at Wolaita Sodo University, Ethiopia

The main objective of the study was to assess the satisfaction and self confidence of students on grading system of Wolaita Language major courses.The research subjects were purposively selected 25 students from Wolaita Sodo university,Wolaita Language department.Two tools were used to collect the data: Questionnaire and interview.Both qualitative and quantitative data analysis methods were employed to obtain the results.The study was proved that students were happy in grading system of Wolaita Sodo University and it.The study also indicated that the students were not this much interested to improve the grading system of Wolaita language major courses as they satisfied in it and it shows that students were confident enough to work by themselves.The study disclosed that teachers were not giving relevant support to students to improve their results and it shows that they did not continuously assess the students to take optional score to improve their result.Moreover, the findings of the study approved that teachers did not use their time effectively and works for the betterment of the students' result.The study also shows that teachers encouraged the students to raise questions and to comment in their evaluation and teaching and they also advise students on how to study and ready for the exam.Thus, it is possible to summarize that students satisfied with the grading system of Wolaita Sodo University and they were confident enough to work by themselves.Hence, it is recommended that the students should be more encouraged to build their confidence regarding working independently and all stake holders all stake holders should work cooperatively to increase the satisfaction of the students regarding grading system.In addition, teachers should effectively use their time and work for the betterment of the students' result and they should fairly evaluate and treat them equally.
On ‘actually’ and ‘dthat’: Truth-conditional Differences in Possible Worlds Semantics

Although possible worlds semantics is a powerful tool to represent the semantic properties of natural language sentences, it has been often argued that it is too coarse: with the tools that possible worlds semantics puts at our disposal, any relevant semantic difference has to be a truth conditional difference representable as a difference in intension.A case that raises questions about the ability of possible worlds semantics to make the appropriate discriminations is the distinction between rigidity and direct reference, an issue deeply connected to the representation of the behaviour of two operators: 'dthat' and 'actually'.Differences between the mode of operation of 'dthat' and 'actually' have been observed, but they have not been examined in depth.Our purpose is to explore systematically to what extent the observed differences between the two operators have truth conditional consequences that are formally representable in possible worlds semantics.
Design and Implementation of Software Data Management on Acquiring Training System

A missile acquiring training system was designed and developed for the problems of large wear loss, no evaluation function, and limited site constraints in the live-fire training. Because of the data management module is a place for data storage of the training system, and the system uses a SQL Server database with high data confidentiality and database maintenance function to complete the storage and management of a missile acquiring training data. Therefore, this paper focuses on the methods of data viewing, data deletion, data export, data storage, data backup and data recovery, and solves the problems of openness, security, reliability, parallelism and operability of data management. Further, it provides an important reference for the development of other similar training systems.
Research on Intelligent Multiple Interchange Induction System of Huadu to Dongguan Highway

Abstract Urban expressway is an important part of the urban traffic network, which is also the main artery of urban traffic system. The rationality of interchange has a direct impact on the functions of “rapid patency” and “safety comfort” of urban roads. This paper taking Taicheng multiple interchange as the research object, which from expressway Huadu to Dongguan, focuses on improving traffic efficiency, induction accuracy and safety. This research is carried out from making the lines and mark, making high-precision navigation map, and making guidance system to provide solutions for Taicheng interchange.
Implementasi Data Mining Untuk Pengaturan Layout Swalayan Delimas Lestari Kencana Dengan Menggunakan Dengan Menggunakan Algoritma K-Means Clustering

Supermarkets are one of the shopping places that can provide comfort, cleanliness, speed and neatness of products for consumers. Many consumers prefer shopping at supermarkets than in traditional markets because supermarkets can provide comfort and neatness of their products, but not a few of consumers complain about product layout in supermarkets. Determination of product layout (layout) at supermarkets is an important thing that must be considered by the supermarket management. In this thesis, we will explain how the implementation of the k-means clustering algorithm is based on consumer shopping habits to produce a product brand layout based on the type of product. This study uses data obtained from shopping receipts at the Delimas Lestari Kencana Lubuk Pakam supermarket. K-means clustering algorithm is used to partition data into clusters so that data that has the same characteristics is grouped into one and the same cluster of data that has different characteristics grouped into other groups. The results of this study produce a product brand layout (layout) based on the type of product that can facilitate consumers in getting the needed items.
A Fundamental Look at Models and Intelligence

Comprehensible and analyzable are central to building confidence in cyber-physical systems. Hybrid systems theories, interface theories, formal semantics, concurrent of computation, component models, and ontologies all augment classical software techniques such as object-oriented design to catch errors and to make systems more modular and composable. However, as systems integrate self-adaptive capabilities and learning algorithms, keeping comprehensible and analyzable gets challenging. Every model lives within a modeling framework, ideally giving semantics to the model, and many modeling frameworks have been developed that enable rigorous analysis and proof of properties. But every such modeling framework is an imperfect mirror of reality. An engineered system operating in the physical world may or may not accurately reflect behaviors predicted by a model, and the model may not reflect behaviors that are critical to correct operation of the system. Software in a cyber-physical system, for example, has timing properties that are rarely represented in formal models. As artificial intelligence gets more widely used, the problem gets worse, with predictability and explainability seemingly evaporating. In this keynote talk, I examine the strengths and limitations in the use of models. I will show that two very different classes of are used in practice, classes that I call scientific models and engineering models [1]. These two classes have complementary properties, and many misuses of stem from confusion about which class is being used. Scientific of intelligent systems are very different from models. I will argue that rigorous and analyzable are useful even in the face of uncertainty and can be used to regulate adaptation and circumscribe the behaviors of learning-based systems.
THE EIGHTH GRADE STUDENTS’ SATISFACTIONS ON THE ENGLISH TEACHER PROFESSIONALISM IN TEACHING ENGLISH AS FOREIGN LANGUAGE AT SMP NEGERI 8 SINGARAJA IN ACADEMIC YEAR 2018/2019

This research aimed to know the eighth grade students’ satisfaction on the English teacher professionalism in teaching English as Foreign Language at SMP Negeri 8 Singaraja in academic year 2018/2019. The object of this research was English teacher professionalism. The subject of this research was 151 eighth grade students’ satisfaction at SMP Negeri 8 Singaraja. The data of this research were obtained by using questionnaire and interview question sheet to the students. This research was used mixed-method approach because the writer combines both quantitative and qualitative method in analyzing the data. This result indicate that average score from reliability,responsiveness,empathy,guarantee and physical evidence which get an average score of 3.9, 3.89, 4.1, 4.1, and 4.1 that means all of variables are in the satisfying level. Finally, it can be concluded that students are showing positive respond against english teacher professionalism in English learning
Research and design of the hybrid model translation platform based on computational linguistics

Computational linguistics is a science combined with not only computer science and linguistics, but also mathematics, cognitive science ,and so on. With the application of computer technology into language process ,it emerged and developed gradually into an independent system. Study on linguistics influence on the development of computational linguistics and translation platform construction from the perspective of computational linguistics, promotes deep understanding ,the further research explore and effective practice on translation. There seems a certain plausible division of labor between linguistics analysis methods and language process in computational linguistics, which are combined to form a hybrid system. The approach to design the hybrid system is explored from the application of translation platform construction from the perspective of computational linguistics. The paper aims to provide some new perspectives to the translation and the teaching of foreign languages, firstly, analyzes the basic theory of the hybrid model translation platform based on computational linguistics, and then designs the translation platform in detail from the system design idea, overall structure design, and function module design three aspects.
Guided open story generation using probabilistic graphical models

In this work, we present an approach for performing computational storytelling in open domain based on Author Goals. Author Goals are constraints placed on a story event directed by the author of the system. There are two challenges present in this type of story generation: (1) automatically acquiring a model of story progression, and (2) guiding the progress of story progression in light of different goals. We propose a novel approach to story generation based on probabilistic graphical models and Loopy Belief Propagation (LBP) that addresses both of these problems. We show the applicability of our technique through a case study on the Visual Storytelling (VIST) 2017 dataset. We use image descriptions as author goals. This empirical analysis suggests that our approach is able to utilize goals information to better automatically generate stories.
Conflict Management for Regulation-Averse Blockchains?

The blockchain architecture is often envisioned as a potential mechanism for the automation microtransactions between interconnected IoT applications, as transactions could be directly enforced through the technical governance structure it provides. However, this chapter draws attention to the limitations of the blockchain architecture in providing tools for conflict management, which is here considered to be a vital for both governance and the legitimacy of the system. Although blockchain’s potential for conflict prevention is often emphasised, experiences from public blockchain networks such as Ethereum demonstrate that prevention is not sufficient but instead dispute resolution mechanisms are needed for addressing unpredictable events. To this end, alternative conflict management strategies have been developed for blockchain-related disputes. We assess these emergent redress mechanisms from the perspective of conflict management with specific attention to fairness of outcomes and due process rules. By making a distinction between systemic disputes and low intensity disputes we demonstrate how conflict management, governance and technological infrastructure converge on blockchain networks. This convergence, in turn, influences how fairness expectations and due process safeguards are formulated, causing concern for the fairness of emergent conflict management. The design of blockchain-based IoT applications should take into consideration the need for conflict management and particular attention should be paid to the fairness of such mechanisms, as these contribute to the fulfillment of fairness expectations, the legitimacy and predictability of governance structures and, in the end, feasibility of mainstream use.
Finding Best Model in Multiple Regression Applying Reversible Jump MCMC

The purpose of this study was to demonstrate reversible jump MCMC (RJ-MCMC) in multiple regression. The RJ-MCMC determined the best number of predictors given the data. Specifically, in the empirical analysis, the results showed that 12 predictors were selected as the appropriate predictors to explain science achievement among 20 predictors. It seems that the RJ-MCMC prefer to a simpler model compared to the other model selection methods (i.e., AIC, forward selection, backward selection, and stepwise selection). However, BIC suggested the same number of the variables suggested by the RJ-MCMC. To compare the model selection based on BIC and the RJ-MCMC, the simulation study was performed. The general trend for both model selection results is that the accuracy and the precision of model selection improves when the sample size is large or the number of the predictors is small. However, the model selection via the RJ-MCMC shows the better performance than the performance based on BIC when the number of predictors increases. Also, the results might imply that the RJ-MCMC allows to select the variable even the magnitude of the variables is small with parsimoniousness.
Mixing Description Logics in Privacy-Preserving Ontology Publishing

In previous work, we have investigated privacy-preserving publishing of Description Logic (DL) ontologies in a setting where the knowledge about individuals to be published is an $$\mathcal {EL} $$ instance store, and both the privacy policy and the possible background knowledge of an attacker are represented by concepts of the DL $$\mathcal {EL}$$ . We have introduced the notions of compliance of a concept with a policy and of safety of a concept for a policy, and have shown how, in the context mentioned above, optimal compliant (safe) generalizations of a given $$\mathcal {EL}$$ concept can be computed. In the present paper, we consider a modified setting where we assume that the background knowledge of the attacker is given by a DL different from the one in which the knowledge to be published and the safety policies are formulated. In particular, we investigate the situations where the attacker’s knowledge is given by an $$\mathcal {FL}_0 $$ or an $$\mathcal {FLE} $$ concept. In both cases, we show how optimal safe generalizations can be computed. Whereas the complexity of this computation is the same (ExpTime) as in our previous results for the case of $$\mathcal {FL}_0 $$ , it turns out to be actually lower (polynomial) for the more expressive DL $$\mathcal {FLE} $$ .
Интернационализация профессионального образования в библиотечно-информационной сфере

The paper is the overview of the 15-th V. A. Minkina memorial conference (St. Petersburg, State University of Culture, March 28–29, 2019). The 15-th anniversary annual scientific and methodical conference “Continuing LIS Education” was held at the Library and Information Science Department of St. Petersburg State University of Culture and was participated by the faculty and students of St. Petersburg State University of Culture, librarians from many Russian regions, and the experts in the field of library and information education from abroad. The international collaboration in the LIS was the key topic of 2019 discussion. The participants in the conference discussed the IFLA role in internationalization of LIS education, along with the issues of standardization and unification of professional education programs. Special attention was given to the IFLA analytical report “Building Strong Library and Information Science Education: a Call to Global and Local Action” and the Guidelines for Continuing Professional Development. The conference continued with the sessions of the round table “Opportunities of international collaboration in library and information education”. The participants in the discussion shared the experience of participation in international education programs and projects, in particular, the project by Information Sciences Department of Osijek University (Croatia) and the Information and Document Communications Department of Belarus State University of Culture and Arts. Irina Trushina, RLA Executive Director shared the Association’s experience in the area, too.
Enabling the comparability of research workflows: a case study

As a result of the massive introduction of computer-assisted research workflows in and around the analysis of heritage items, we are today witnessing a blooming of highly specialized, and sometimes obscure for outsiders, data processing chains. Operations conducted on this or that site include a vast range of digitization activities and an equally vast array of post-processing roadmaps. The amount, diversity, and sometimes complexity of these operations are definitely a challenging aspect of the heritage science community’s move towards “more” digital data acquisition and processing. It hinders that community’s ability to identify and share, beyond results, methods and argumentation. In particular, it jeopardizes its capacity to preserve and explain research processes on the long term, and therefore to ensure their reproducibility (obviously a key methodological issue if processes should fall within a “scientific” approach).The paper presents the MEMORIA research, aimed at experimenting a practical solution for the formalization and intersubjective description of research workflows. The initiative bases on the idea that, beyond metadata describing outputs themselves, the scientific community concerned is awaiting for means to ensure their verifiability, reproducibility and comparability. The paper focuses on two aspects:•A real-case experimentation on a series of investigations we have conducted on the historical centre of Krakow (Poland) over the last 15 years.•A feedback on difficulties to foresee at a methodological level, for instance in terms of grain (what exactly should be recorded? Each and every click inside a given computer software? Certainly not...)