Reviewerly/exHarmony huggingface dataset:
A new unsupervised Algorithm for extracting relationship words between two entities

Purpose: In order to use a popular supervised learning algorithm such as BERT to extract the relationships of concepts (triple relationship extraction), it is necessary to label the relationship types manually. If some relation words are not been labeled in the training stag, they cannot be recognized probably in the test stage and the corresponding entities cannot been recognized accordingly. This paper proposes a new unsupervised algorithm to extract as many relation words as possible of two entities, especially those that are easily overlooked. Methods: The disease-cause relationship was taken as an example, and 10204 effective sentences of disease and corresponding causes were extracted by web crawler. According to the constraints of syntactic, semantic and lexical features, the relationship words were extracted with an unsupervised manner, and the automatic extracted results were summarized. Results: Some specific relation words that are ignored in manual labeling stage are found; the conjoining relation words often appeared together in the texts are recognized; some types and features of relation words are obtained. These types and features can be used to help the relation labeling in the supervised learning stage, and to help expanding the relevant knowledge graphs and improving the accuracy of information retrieval.
Online, Consumer-Facing Portal to Support Techno-Economic Assessment of Behind-the-Meter Photovoltaic Energy Systems in Saudi Arabia

In 2020, the Water and Electricity Regulatory Authority (WERA) of Saudi Arabia formally released a regulation for "small-scale solar photovoltaic (PV) systems", enabling the installation of grid-connected PV systems in Saudi Arabia for all consumer types. The remuneration to consumers for exported energy is under a net billing scheme. To enable consumers to evaluate the performance and cost effectiveness of such systems, a consumer-facing online portal "Shamsi" ("My Sun" in Arabic) has been provided that assesses the technical performance of an installed PV system, estimates expected exports and self-consumption using load profiles drawn from consumption data, assesses the expected financial performance of the system, and connects consumers with qualified engineering and installation firms in the area. This paper describes the regulation and the online portal.
Technology-Enabled Co-Regulation as a New Regulatory Approach to Blockchain Implementation

Blockchain technology has great potential to reshape the financial industry. However, the existing policy and regulatory regimes fail to provide a supportive environment for blockchain technology to fulfill its potential. In this Article, I propose technology-enabled co-regulation as a new approach to blockchain implementation, especially in the financial markets. This approach has two distinctive elements: a collaborative environment and a technology-enabled mechanism. A collaborative environment consists of regulatory and industry sandboxes in which regulators and industry representatives can experiment with novel ideas. A technology-enabled mechanism is empowered by regulatory technologies (“RegTech”) and supervisory technologies (“SupTech”) that support compliance with regulatory and reporting requirements and facilitate supervisory obligations. This technology-enabled co-regulation can help to achieve policy and regulatory goals: a fair and efficient market, financial stability, consumer and investor protection, law enforcement efficiency, and, most importantly, technology innovation. Technology-enabled co-regulation is preferable to traditional command- and-control regulation and self-regulation. Its collaborative and technological elements are also more advanced than a simple co-regulation is. To reach this conclusion, this Article conducts an impact assessment of proposed regulatory options. The impact assessment consists of five analytic steps, asking the following questions: (1) what problems have emerged from existing policies and regulations? (2) what are the objectives of the proposed regulations? (3) what are the regulatory options? (4) what are the possible impacts? (5) how do the options compare?
Proposal of a Tele-Immersion Visiting System

The COVID-19 pandemic limits visits to hospitalized patients and their families. Therefore, we implemented a tele-immersion visiting system for inpatients and their families. Inpatients can move freely by operating a remote operation robot equipped with a 360-degree camera at their homes with a game controller. In addition, inpatients receive a 360-degree image via a head-mounted display so they can experience a highly realistic home space. To verify the effectiveness of this system, we conducted a questionnaire survey of six subjects. As a result, the effectiveness for inpatient families remains an issue.
A Solution to Support Integrity in the Lawful Interception Ecosystem

In this paper, we present an innovative solution to support integrity in a lawful interception ecosystem. The problem arises from the fact that whatever the interception system is organized, external (potentially untrusted) parties can be involved in the process. Therefore, the need to guarantee completeness, correctness, and freshness of the intercepted contents should be given. Moreover, contents often have to be transferred from law enforcement agencies to Courts or delivered to the defence, also partially. In this work, we design a complex architecture able to support effectively the above needs.
Historical aspects of fractal theory appearance

In paper short definition of a fractal is made, its basic properties are resulted, historical preconditions of origination fractal theories in a context of terms assemblage and function which development is observed from the moment of their origination before formation of their notional apparatus are in detail observed. Names, years of life and a photo of the scientists who have brought in the basic contribution to development of observed terms are resulted. As result of the retrospective analysis, it is shown that appearance of the fractal theory is the integral stage in evolution of mathematics and physics. Short listed the main routes of the fractal theory practical application in the field of radio engineering and electronics among which some scientists who have brought in a practical mite in development of a modern science and its practical applications are gated out. In particular, pioneers of fractal theory which application found wide practical application are resulted.
Towards an Automated Language Acquisition System for Grounded Agency

The Automated Language Acquisition System focuses on the fundamental question of grounding; that is, how an agent acquires and represents the meaning of concepts. We take the view that prior to acquiring natural language, an agent has experienced the world in a largely private manner. The agent has visual experiences from which it has learned that objects and object categories exist, they persist over time and possess attributes. The agent also understands that events take place in a physical world and that agents exist and have purpose. We show that Emergent Languages, which can be constructed in an unsupervised manner, can be thought of as a private language. A natural language such as English can then be viewed as a repository of concepts. By applying unsupervised clustering to images described via an Emergent Language, we show that an agent can then analyze such clusters and map them to their associated natural language concepts with the aid of a Natural Language expert. Another form of experience is exposure to spoken speech, the idea being that syntax and statistical frequencies can be observed. This allows for a form of inductive learning where an agent can expand its conceptual knowledge. Having discovered the existence of novel concepts and forming mappings to associated Emergent Language description through machine translation, relationships between concepts are then constructed. The hypotheses being that the meaning of a concept emerges from its connections with other concepts. Relationships that are investigated include: physical and causal, metaphorical and pragmatic.
A Novel Method for Hardware Acceleration of Convex Hull Algorithm on Reconfigurable Hardware

This paper presents a novel high speed implementation of Andrew's Convex Hull Monotone Chain software algorithm on FPGA. Convex hull in its simplest form is the smallest convex polygon that contains a set of discrete points with many applications in engineering, mathematics and science. Convex hull algorithm in its best case has a linear time complexity assuming data points are sorted. Our implementation targets Zynq system on chip platform. We accelerate the software algorithm by designing components that can work in parallel. This involves using burst transfer, dynamic branch prediction, and resource sharing.. Our approach achieves a speed up of 2.18 for 4 levels of parallelism at 100 MHz clock. Higher speed up can be attained by increasing the levels of parallelism. To the best of our knowledge, our proposed method is the only available hardware accelerated implementation that truly optimizes the hull processing datapath. This is in contrast with other competitive software acceleration which reduce the number of data points to be processed using additional preprocessing steps or increase the speedup by using high speed interface.
LexDivPara: A Measure of Paraphrase Quality with Integrated Sentential Lexical Complexity

We present a novel method that automatically measures quality of sentential paraphrasing. Our method balances two conflicting criteria: semantic similarity and lexical diversity. Using a diverse annotated corpus, we built learning to rank models on edit distance, BLEU, ROUGE, and cosine similarity features. Extrinsic evaluation on STS Benchmark and ParaBank Evaluation datasets resulted in a model ensemble with moderate to high quality. We applied our method on both small benchmarking and large-scale datasets as resources for the community.
Persona’s Role in the Design of Future Technologies by Academics and Practitioners

Automation and the introduction of Industry 4.0 interactive technologies have imposed novel challenges and burdens on academics and industrial practitioners. Developing systems for future workplaces need sufficient knowledge and understanding of the trends and technological developments and their viability from both industry and academic experts before introducing the general population. Utilizing co-design ideation workshops supported by various design tools can provide better ideation for designing future scenarios. We conducted a qualitative study to analyze academics’ and industrial practitioners’ points of view on persona as a design tool during a conference workshop. These participants empirically test the co-creation of personas and find conceptual differences between the groups in their tool use. We used pre and post-workshop surveys and workshop transcripts to code and clustered our findings. The conclusion is that the differences in academics’ and industrial practitioners’ perspectives and use of design tools for ideation are substantial but combined in a team can lead to designing positive experiences in future workplaces.
A Comparative Study of Different Models in Ancient Poetry Translation

Ancient poetry is an important part of Chinese culture. There have been projects like Jiuge to combine ancient poetry with deep learning. The language of ancient poetry is often refined, and it needs rich imagination to understand its meaning. As a result, it is difficult to automatically implement the translation. This paper makes a preliminary attempt in this aspect, based on the data set collected by ourselves, adopts deep encoder-decoder model, such as GRU, LSTM and Transformer models, to train our model. We compare the results of the three models, which have their own advantages and disadvantages. However, due to the size of the data set and the model itself, the effect is not very ideal, and still needs to be improved.
Using Clients to Support Extract Class Refactoring

Extract Class refactoring refers to the process of separating the different responsibilities of a class into different classes. Existing approaches of the Extract Class refactoring are based on factors internal to the class, i.e., structural and semantic relationships between methods. However, using the internal factors to identify and separate the responsibilities of the class is inadequate in many cases. Therefore, this chapter proposes a novel approach that exploits the clients of the class to support the Extract Class refactoring. The proposed approach is useful and complementary to the existing approaches because it involves factors external to the class to be refactored, i.e., the clients.
A Configurable Framework for Satellite Software

Model-driven development helps to formally describe a system’s design. The system description, also known as formal model, can be used to perform early verification and to generate source code. Using the same source for both is useful for safety-critical systems, because we make sure that the generated code bases on a verified model.Satellite software is such a safety critical system. Independent of the mission, satellite software has to provide some features that are common for all satellite projects, e.g. handling telecommands and collecting telemetry data. There already exist approaches of applying model-driven design for developing satellite software. However, most still require some manual configuration in the source code, which makes the formal model incomplete. Consequently, those properties are unavailable for model processing tools. Therefore, we present a framework for satellite software that incorporates all parameters into the formal model. Those apps are compiled together into nodes, which represent software executables running on computing nodes. Our generator creates source code with abstract classes implementing default behavior and provide virtual functions for the user to override. The user can fully concentrate on implementing the intended behavior, the generated code already accomplishes all configuration.
THE INTEGRATION OF SEMANTIC NETWORKS IN VIRTUAL EXHIBITIONS

Abstract. In this article a use case is presented how a semantic network can be used to enrich the existing virtual exhibition “They Shared their Destiny. Women and the Cossacks’ Tragedy in Lienz 1945” about the fate of women during the Cossack tragedy in Lienz. By connecting via CIDOC CRM information about people, events, finds and places the goal was not only to make this information interoperable, but also to integrate the resulting knowledge graph into the exhibition, thus providing a further navigation level and enhancing the visitors’ experience.First, a short introduction to the existing exhibition and the presented project is given. In the second part, the scientific background of CIDOC CRM and its semantically enriched 3D content is outlined. In the third part the implementation and the project as a use case is described with respect to the data modelling and the integration of the semantic network into the 3-dimensional environment as well as the integration of spatial aspects and other internet resources. At the end, there is a summary with an outlook on future planned projects.
Towards Scope Detection in Textual Requirements

Requirements are an integral part of industry operation and projects. Not only do requirements dictate industrial operations, but they are used in legally binding contracts between supplier and purchaser. Some companies even have requirements as their core business. Most requirements are found in textual documents, this brings a couple of challenges such as ambiguity, scalability, maintenance, and finding relevant and related requirements. Having the requirements in a machine-readable format would be a solution to these challenges, however, existing requirements need to be transformed into machine-readable requirements using NLP technology. Using state-of-the-art NLP methods based on end-to-end neural modelling on such documents is not trivial because the language is technical and domain-specific and training data is not available. In this paper, we focus on one step in that direction, namely scope detection of textual requirements using weak supervision and a simple classifier based on BERT general domain word embeddings and show that using openly available data, it is possible to get promising results on domain-specific requirements documents.
Research of interactive experience display of child safety seats based on Mixed Reality technology

Product display in the process of innovative design is an important means of communication between design teams. In this paper, the interactive experience display of products based on Mixed Reality technology is taken as the research object, and the child safety seat is taken as an example to realize the interaction between designers and the designed products by means of gesture recognition and eye tracking provided by Microsoft HoloLens2.Then the human-computer interaction theory is used to construct the user experience evaluation index system. A reliable evaluation method is formed by combining AHP and fuzzy comprehensive evaluation method, and interactive experience evaluation is carried out by taking MR display of child safety seats as an example. The research results show that the user experience satisfaction of display system based on MR is relatively high. The evaluation indexes and evaluation methods constructed in this study can play a guiding role in the display design of MR products.
Cognitive Performance in Immersive Environments After Acquired Brain Injury

The use of immersive environments such as virtual and augmented reality is quickly developing. For cognitive assessment and training in a neuropsychological setting, this offers a perspective for innovation and improvement of existing methods. Most of the current clinical uses of immersive environments focus on factors such as anxiety, or motor activities for physical therapy. Cognitive applications, concerning, for example, memory, attention, visuospatial processing, are relatively scarce. In this chapter, considerations of using immersive environments for cognitive purposes are presented. In addition to immersion, the individual experience of immersive environments, as expressed by sense of presence, will be discussed. By examining advantages and disadvantages of using immersive environments to measure and train cognitive performance, recommendations for clinical use of these methods are provided.
Conditional Mutual Information-Based Generalization Bound for Meta Learning

Meta-learning optimizes an inductive bias—typically in the form of the hyperparameters of a base-learning algorithm—by observing data from a finite number of related tasks. This paper presents an information-theoretic bound on the generalization performance of any given meta-learner, which builds on the conditional mutual information (CMI) framework of Steinke and Zakynthinou (2020). In the proposed extension to meta-learning, the CMI bound involves a training meta-supersample obtained by first sampling 2N independent tasks from the task environment, and then drawing 2M independent training samples for each sampled task. The meta-training data fed to the meta-learner is modelled as being obtained by randomly selecting N tasks from the available 2N tasks and M training samples per task from the available 2M training samples per task. The resulting bound is explicit in two CMI terms, which measure the information that the meta-learner output and the base-learner output provide about which training data are selected, given the entire meta-supersample. Finally, we present a numerical example that illustrates the merits of the proposed bound in comparison to prior information-theoretic bounds for meta-learning.
Déjà Vu? Client-Side Fingerprinting and Version Detection of Web Application Software

Detection of outdated software components can help both administrators and IT security researchers to identify potential security risks. There exist several approaches to detect versions of web application software from the client-side. However, the existing solutions often require in-depth knowledge about each software, have high resource demands and use aggressive scanning techniques. In this work we present a novel approach which is able to build fingerprints automatically for different web applications using a passive scanning technique. Apart from hashes of asset files we also propose to use XPath profiling for the fingerprinting process, which, to the best of our knowledge, has not been done in similar research before. Our evaluation with three widely used content management systems (CMS), namely Joomla, Drupal and TYPO3, shows that our approach can correctly detect the minor release of a web application for up to 95% of all versions.
Cardiac segmentation using multi-atlas coarse-refine registration

Cardiac segmentation of CT images is important to diagnose CVDS quantitatively in clinic. In this work, a cardiac segmentation method is proposed which is multi-atlas coarse-refine registration based. In the proposed method, the cardiac rough region and it's accurate segmentation are recognized with two rounds of registration. The proposed method is evaluated quantitatively and qualitatively on 20 2D cardiac CT images. In addition, we also applied the proposed method to multiple situations where cardinalities of the atlases are equal whereas the atlases are different to evaluate its robustness to the atlas. Experimental results demonstrate the effectiveness and robustness of the proposed method.
The trend of distance education: problems and prospects for implementation

Distance education has become an integral part of the educational system around the world. Official statistics on distance education, confirm a steady increase in the number of participants in distance learning and courses. The range of courses offered by more than 200 distance learning institutions, including about 1500 courses, of which about 75% – vocational and about 25% – general education. For the most part, this method of training is offered mainly by private institutes.The success of distance learning can be explained against the backdrop of changing conditions in economics, technology, and society. By the era of industrial society, the educational ideal of modern society was oriented to the classical educational systems for that time, which originated in antiquity. In many countries, traditional social norms have changed over the past 20 years.One authoritative researcher in the field of distance education noted that technology as a service delivery system has played an important role in the development of distance education and research. Over the past two decades, there has been an increase in the number of educational institutions that offer a service such as distance learning. There has also been an increase in the number of students receiving distance education not only in our country, but also in educational institutions around the world.Despite the fact that there have been extensive studies of open distance learning, there is no consensus on the indisputable benefit or inadmissibility of distance learning in higher education. Identification and study of problematic issues in the field of distance education implementation remains very relevant today.In this article we want to consider some problematic issues of distance learning in higher education, which is considered today the most favorable for the study and implementation of the model of exclusively online learning.