Reviewerly/exHarmony huggingface dataset:
A quantum light-emitting diode for the standard telecom window around 1550 nm (Conference Presentation)

Quantum communication networks are formed of secure links, where information can be transmitted with security guaranteed by the quantum nature of light. An essential building block of such a network is a source of single photons and entangled photon pairs, compatible with the low-loss fibre telecom window around 1550 nm. Previous work based on semiconductor quantum dots (QDs), colour centres in diamond and single atoms has been limited by emission wavelengths unsuitable for long distance applications. Efforts have been made to use standard gallium arsenide based QDs by extending their operating wavelength range, however, electrically driven quantum light emission from quantum dots in this telecommunication window has not yet been demonstrated. In this work, indium phosphide based QD devices have been developed to address this problem. The industry favoured growth method, metalorganic vapour phase epitaxy (MOVPE), has been used to create droplet QDs with low fine structure splitting (FSS). This growth scheme allows us to produce the first optoelectronic devices for single and entangled photon emission in the 1550 nm telecom window. We show single-photon emission with multi-photon events suppressed to 0.11±0.02. Furthermore, we obtain entangled light from the biexciton cascade with a maximum fidelity of 0.87± 0.04 which is sufficient for error correction protocols. We also show extended device operating temperature up to 93 K, allowing operation with liquid nitrogen or simple closed-cycle coolers. Our device can be directly integrated with existing long distance quantum communication, cryptography and quantum relay systems providing a new platform for developing quantum networks.
Making self-help virtual reality exposure therapy accessible: hardware and design considerations

Virtual Reality Exposure therapy has proven to be as effective as cognitive behavioral therapy with in vivo exposure [1].Since it is an efficacious and cost effective alternative to in vivo exposure therapy, it can be offered to the clients via software packages containing educational material and self-report questionnaires considering the present state of Virtual Reality technology.This paper aims to identify design considerations and constraints, knowledge of which is highly useful in developing the applications that are accessible user-friendly, require minimal or no therapeutic contact and provide self-help solution to the inaccessibility of anxiety treatment which leads to a massive number of patients being left untreated.
RETRACTED: Distributed vision navigation technology for mobile robots based on jitter privacy ant colony algorithm

To enhance the real-time obstacle detection technique of mobile robots, a real-time obstacle detection technique of mobile robots based on MapReduce parallel ant colony algorithm was proposed in th...
Blockchain Technology for Collaborative Information Systems (Dagstuhl Seminar 18332)

technology enables an evolving set of parties to maintain a safe, permanent, and tamper-proof ledger of transactions without a central authority. This technology opens manifold opportunities to redesign business-to-business collaborations, while bringing about numerous challenges. These opportunities and challenges were discussed in the Dagstuhl Seminar 18332 Blockchain Technology for Collaborative Information Systems. This report documents the program and the outcomes of the seminar.
Natural Language Processing in OTF Computing: Challenges and the Need for Interactive Approaches

The vision of On-the-Fly (OTF) Computing is to compose and provide software services ad hoc, based on requirement descriptions in natural language. Since non-technical users write their software requirements themselves and in unrestricted natural language, deficits occur such as inaccuracy and incompleteness. These deficits are usually met by natural language processing methods, which have to face special challenges in OTF Computing because maximum automation is the goal. In this paper, we present current automatic approaches for solving inaccuracies and incompletenesses in natural language requirement descriptions and elaborate open challenges. In particular, we will discuss the necessity of domain-specific resources and show why, despite far-reaching automation, an intelligent and guided integration of end users into the compensation process is required. In this context, we present our idea of a chat bot that integrates users into the compensation process depending on the given circumstances.
Implementation of a camera system using nios II on the altera DE2-70 board

The implementation of a camera system with a field programmable gate array (FPGA) is an important step within research towards constructing a video processing architecture design based on FPGA. This paper presents the design and implementation of a camera system using the Nios II soft-core embedded processor from Altera. The proposed camera system is a flexible platform for the implementation of other systems such as image processing and video processing. The system architecture is designed using the Quartus II SOPC Builder System and implemented on an Altera DE2-70 development platform. The image or video is captured using a Terasic TRDB-D5M camera and stored into two different synchronous dynamic random access memories (SDRAM) using an SDRAM Controller. The specifications of the Terasic TRDB-D5M and SDRAM are examined to confirm that the recorded and stored data match. The results of this experiment show that the system is able to record and store data correctly into SDRAM. The data in the SDRAM correctly displays the recorded image on a VGA monitor.
OntoGen Based Ontology Concepts Generation from Graph

This paper describes a unique approach to generate the graph based ontology. Ontology is created from text graph. Many other tools are available to create the ontology but each tool has its own method and complex structure to generate ontology. Ontology is very popular in many fields today and also became the necessary part of www. In this paper, the proposed tool that is used to generate the ontology consists of four different phases. Each phase has its own purpose. First, the text graph is input in notepad and implementing in java (eclipse). Second, the output of first step is converts into XML file. Third, the XML file is parsed with the help of DOM or SAX parser. In the last step, XML file is converted into RDF file which is validating by the help of online RDF parser. In the future, the RDF file is converted into RDFS and in the last ontology is created. After this, the working of proposed tool is improved and its produce more accurate result in term of accuracy.
Memory-Side Protection With a Capability Enforcement Co-Processor

Byte-addressable nonvolatile memory (NVM) blends the concepts of storage and memory and can radically improve data-centric applications, from in-memory databases to graph processing. By enabling large-capacity devices to be shared across multiple computing elements, fabric-attached NVM changes the nature of rack-scale systems and enables short-latency direct memory access while retaining data persistence properties and simplifying the software stack. An adequate protection scheme is paramount when addressing shared and persistent memory, but mechanisms that rely on virtual memory paging suffer from the tension between performance (pushing toward large pages) and protection granularity (pushing toward small pages). To address this tension, capabilities are worth revisiting as a more powerful protection mechanism, but the long time needed to introduce new CPU features hampers the adoption of schemes that rely on instruction-set architecture support. This article proposes the Capability Enforcement Co-Processor (CEP), a programmable memory controller that implements fine-grain protection through the capability model without requiring instruction-set support in the application CPU. CEP decouples capabilities from the application CPU instruction-set architecture, shortens time to adoption, and can rapidly evolve to embrace new persistent memory technologies, from NVDIMMs to native NVM devices, either locally connected or fabric attached in rack-scale configurations. CEP exposes an application interface based on memory handles that get internally converted to extended-pointer capabilities. This article presents a proof of concept implementation of a distributed object store (Redis) with CEP. It also demonstrates a capability-enhanced file system (FUSE) implementation using CEP. Our proof of concept shows that CEP provides fine-grain protection while enabling direct memory access from application clients to the NVM, and that by doing so opens up important performance optimization opportunities (up to 4× reduction in latency in comparison to software-based security enforcement) without compromising security. Finally, we also sketch how a future hybrid model could improve the initial implementation by delegating some CEP functionality to a CHERI-enabled processor.
Understanding RDMA behavior in NUMA systems

Most high performance computing clusters are nowadays composed of large multicore machines that expose Non-Uniform Memory Access (NUMA), and they are interconnected using modern communication paradigms, such as Remote Direct Memory Access (RDMA). In this work we perform a study outlining the performance impact of these two technologies, NUMA and RDMA, when combined. Findings show that system’s software architecture should be designed for NUMA and RDMA; otherwise major performance penalties occur.
The Future is Quantum

Some of the most important technical advances of the 20th century were enabled by decades of fundamental scientific exploration, whose initial purpose was simply to extend human understanding. This era marked the creation and widespread usage of “classical” computers, which represent information as bits – 0 and 1. Despite the continued computational advances we have experienced over the past century, there are still many important and relevant problems that “classical” computers cannot solve. <br/> We are witnessing rapid progress in a new computing paradigm – Quantum Computing. Quantum computing takes advantage of the laws of quantum mechanics found in nature and represents a fundamental change from classical information processing. Two properties of quantum behavior – superposition and entanglement – may allow quantum computers to one day address problems intractable for today’s conventional classical machines. <br/> During this talk, Dr. Gil will give an overview of quantum computing, what it means for the future of technology, and how we can separate hype from reality.
Optimization of Remote Sensing Image Attributes to Improve Classification Accuracy

Remote sensing technologies provide very important big data to various science areas such as risk identification, damage detection and prevention studies. However, the classification processes used to create thematic maps to interpret this data can be ineffective due to the wide range of properties that these images provide. At this point, there arises a requirement to optimize the data. The first objective of this study is to evaluate the performance of the Bat Search Algorithm which has not previously been used for improving the classification accuracy of remotely sensed images by optimizing attributes. The second objective is to compare the performance of the Genetic Algorithm, Bat Search Algorithm, Cuckoo Search Algorithm and Particle Swarm Optimization Algorithm, which are used in many areas of the literature for the optimization of the attributes of remotely sensed images. For these purposes, an image from the Landsat 8 satellite is used. The performance of the algorithms is compared by classifying the image using the K-Means method. The analysis shows a 10-22% increase in overall accuracy with the addition of attribute optimization.
Risk Management for University Competitiveness Assurance

The article discusses the role of risk management for assurance of university competitiveness. The relevance of the study lies in the fact that the intensification of competition in the educational services market causes the identification and analysis of risks, as well as the prediction of changes in the external and internal environment of the university, which are capable of generating risks. The article proposes a classification of university risks, and describes a risk assessment procedure necessary for developing management decisions aimed at reducing the impact of risks on competitiveness of the university. The proposed classification option will allow more accurate identification of risks.In the process of research, the views of domestic and foreign scientific researchers on the role of risk management are analyzed and summarized for assurance of competitiveness of the university.
<i>IEEE Transactions on Affective Computing</i>–On Novelty and Valence

I T is exciting times for the field of Affective Computing.Not only is Artificial Intelligence as a whole experiencing so far unseen interest, but in particular, today's hopes in Human-Computer Interaction and Social Robotics lie on Affective Computing as hardly ever before.Accordingly, one can see the market power and presence of increasingly more start-ups and even established enterprises gain momentum and weight on almost monthly basis-the race is on: Experiencing Affective Computing on the broad consumer market in everyday usage seems around the corner as never before.It is also exciting time for the IEEE Transactions on Affective Computing (TAC): In its tenth year, the journal is experiencing different emotions: First things first, I am overly pleased to announce the new and third overall Editor in Chief-Elisabeth Andr e of the University of Augsburg in Germany, following the founding editor Jonathan Gratch (University of
Visual Growing Neural Gas for Exploratory Data Analysis

This paper argues for the use of a topology learning algorithm, the Growing Neural Gas (GNG), for providing an overview of the structure of large and multidimensional datasets that can be used in e ...
Exploring Agile Mobile App Development in Industrial Contexts: A Qualitative Study.

Agile development methods have been proposed as a natural fit for mobile app development contexts. Despite many studies addressing the adoption of agile methods for traditional web and desktop applications, there is a lack of studies of how mobile app development teams can adopt agile methods and the challenges they are facing. Our study explores this area to better understand how some representative industrial teams approach agile mobile app development, and the challenges they are facing. We conducted a qualitative study involving four different mobile app development companies. Our research method is based on multiple-case study design. From our findings, we argue that not all agile development principals are necessarily applicable within the mobile app development context. Furthermore, mobile app development teams face additional challenges when adopting agile methods such as development automation tools and on-line app store restrictions to mention a few. To our best knowledge, this is the first study that explores industrial teams from the perspective of agile development. Our results provide in-depth guidance to practitioners and highlights areas of research that require further investigation.
Using Mobile Technology in Language Learning: Merits and Demerits

The number of mobile users is expected to surpass the 5 billion mark by the end of 2019, worldwide ("Global Mobile Landscape," 2016).The ubiquity and portability of mobile technology have opened up new horizons for language learning and teaching (e.g., McCarty, Sato & Obari, 2017;Bradley, 2015;El Hariry, 2015).The focus of this study is to shed light on the possible merits and demerits of mobile devices for language learning.Understanding these merits and demerits will increase the success rate of mobile technologies integration into educational settings.Teachers and students have always been interested in finding new paths that may lead to enjoyable language learning (e.g., using various online/offline resources and educational mobile apps).However, as it will be discussed in detail, a number of issues exist regarding the demerits of MALL such as technical problems, distractions and so forth.Altogether, we can safely say that the merits of MALL outweigh its demerits because technology is constantly evolving and some of the current demerits will probably disappear in the future.
RETRACTED ARTICLE: An empirical study on the relationship between China’s financial development and economic growth based on sensor technology

Abstract Since the reform and opening up, China’s economic growth and financial development have made remarkable achievements. Based on the macroeconomic data from 1992 to 2012, this paper studies the relationship between China’s financial development and economic growth from the perspective of empirical analysis. Based on the value at risk model, Granger causality test is carried out on the variables of financial development and economic growth to analyze the relationship of interaction. A vector error correction model is established to estimate the parameters of each variable. The interaction between variables is further analyzed. The conclusion is that there is a mutual promotion mechanism between finance and economy in China, and economic growth can significantly promote the level of financial deepening.
Flipping an Academic Library Collection: A Path to a Global Open Scholarly Commons

In late 2017, the University of Massachusetts Amherst Libraries participated in the David Lewis and Michael Roy “2.5% Commitment and Open Data Collection Tool Project.” This exercise provided a benchmark of collection and infrastructure investments to date, and it brought into focus the opportunity to articulate the Libraries’ intentions for their collections going forward. The UMass Amherst Libraries provide a case study of an academic library collection that is pivoting from materials produced by proprietary publishers to a mix of investments in unique and special collections; open access publishing, content and infrastructure; and materials published through traditional channels.
Analysis of Digit Recognition in Kannada Using Kaldi Toolkit

This paper discusses recognition of digits in Kannada language using an open-source speech recognition tool, Kaldi. The system considers small digit corpora with numbers ranging from 0 to 9 and 4480 samples with a set of fourteen speakers. The monophone and triphone models of the corpora for Kannada language are investigated, and a significant decrease in the word error rate is observed while using the triphone modelling using Kaldi toolkit. The feature extraction is done with Mel-frequency Cepstral coefficients (MFCC). The word error rate (WER) is achieved for this corpus and compared with that achieved the HTK toolkit. A WER of 9% and 6%, respectively, is achieved with monophone modelling and triphone modelling using Kaldi toolkit, and with the same corpus, a WER of 10% is applied in HTK toolkit. A preliminary research of the speech recognition using Kaldi toolkit is reported in this paper.
Performance Evaluation of Fine-tuned Faster R-CNN on specific MS COCO Objects

&lt;span lang="EN-US"&gt;Fine-tuning of a model is a method that is most often required to cater to the users’ explicit requirements. But the question remains whether the model is accurate enough to be used for a certain application. This paper strives to present the metrics used for performance evaluation of a Convolutional Neural Network (CNN) model. The evaluation is based on the training process which provides us with intermediate models after every 1000 iterations. While 1000 iterations are not substantial enough over the range of 490k iterations, the groups are sized with 100k iterations each. Now, the intention was to compare the recorded metrics to evaluate the model in terms of accuracy. The training model used the set of specific categories chosen from the Microsoft Common Objects in Context (MS COCO) dataset while allowing the users to use their externally available images to test the model’s accuracy. Our trained model ensured that all the objects are detected that are present in the image to depict the effect of precision.&lt;/span&gt;
The Use of Private Start-Ups in Higher Education

Nowadays, education faces the problems that do not favor its further development. Modern conditions of educational system reformation lead to the growth of requirements to the level of specialists’ professional training. The main purpose of the research is to increase the quality and speed of learning through all the means that become available by virtue of digital environment. For this purpose, the experiment was conducted that involved 400 students. The participants of the experimental group were to distribute and fulfil project tasks. As a form of the students’ practical training, the work with startups has a range of specific features and advantages. First of all, it implies students’ involvement into a real project the results of which will depend on the quality of their training, their motivation, willingness to immerse into the field that is researched as deeply as possible, as well as on their interest to the subject of a project. The result of the project was an extensive work that included drafting a business plan. 60% of students used online startups as an assistance for planning the work, whereas 40% made it by themselves. It was discovered that 50% of students developed interesting business plans and widely described the ways of their usage, whereas 9% of students prepared the reports on the basis of their work and spoke at scientific-practical conferences. Besides, an experiment was carried out among the teachers. In order to check their non-standard ideas, 92 CVs of the workers who founded innovative startups, mainly in IT field, were gathered. In order to form a representative sample, we randomly selected entrepreneurs from the short-lists that were based on the search requests in Professionali.ru Web. The research showed that during training in the field of business management, a future founder can acquire enough skills in a form of explicit knowledge in a certain field. However, he will have to increase its level in order to transform his startup into a business project.
Quantum Simulation of Gauge Theories

A general scheme is presented for simulating gauge theories, with matter fields, on a digital quantum computer. A Trotterized time-evolution operator that respects gauge symmetry is constructed, and a procedure for obtaining time-separated, gauge-invariant operators is detailed. We demonstrate the procedure on small lattices, including the simulation of a 2+1D non-Abelian gauge theory.
An Analysis of Inheritance Hierarchy Evolution

This research investigates the evolution of object-oriented inheritance hierarchies in open source, Java systems. The paper contributes an understanding of how hierarchies, particularly large complex hierarchies, evolve in 'real world' systems. It informs object-oriented design practices that aim to control or avoid these complicated design structures. The study is based on a detailed analysis of 665 inheritance hierarchies drawn from a total of 262 versions of 10 open source systems. The research contributions include that: i) the majority of inheritance hierarchies are 'simple' in structure and remain that way throughout their lifetimes ii) the majority of hierarchies are stable in terms of size and shape throughout their lifetimes iii) there is a minority of large, complex, branching 'Subtree' hierarchies that continue to grow ever more complicated as the systems evolve iv) a detailed analysis of some of these larger hierarchies finds evidence of 'good' object-oriented design practices being used but also highlights the significant challenges involved in understanding and refactoring these complex structures. There is clear evidence that some of the complex hierarchies are emphasising reuse while others appear focused on type inheritance.