Reviewerly/exHarmony huggingface dataset:
Interval Type-2 Fuzzy Application for Diet Journaling

In this article, an improved system is constructed using interval type-2 fuzzy sets (IT2FS) and a fuzzy logic controller (FLC) with non-singleton inputs. The primary purpose is to better model nutritional input uncertainty which is propagated through the Type-2 FLC. To this end, methods are proposed to (1) model nutrient uncertainty in food items, (2) extend the nutritional information of a food item using an IT2FS representation for each nutrient incorporating the uncertainty in the extension process, (3) accumulate uncertainties for IT2FS inputs using fuzzy arithmetic, and (4) build IT2FS antecedents for FLC rules based on dietary reference intakes (DRIs). These methods are then used to implement a web application for diet journaling that includes a client-side Type-2 non-singleton Interval Type-2 FLC. The produced application is then compared with the previous work and shown to be more suitable. This is the first known work on diet journaling that attempts to model uncertainty for all anticipated measurement error.
Emotion Detection using Facial expressions with Transfer Learning

The use of machines to perform different tasks is constantly increasing in society. Providing machines with perception can lead them to perform a great variety of tasks. Machine perception requires that machines understand about their environment. Recognizing facial emotions will thus help in this regard. We use the TensorFlow library and the Inception model and apply transfer-learning for our dataset to retrain the model. We then identify the facial emotions: happiness, sadness, anger, surprise, disgust and neutral.
A Critical Analysis of Requirements and Recommendations for Multi-modal Access Control in Hospitals

Lack of user awareness and user acceptance of the importance of practising a good access-control approach, particularly in the healthcare sector of South Africa, is a challenging issue in the area of the security of information. The challenge results in breaches to information stored in medical information systems, fraud, and medical identity theft. The paper proposes the hospital user awareness and user acceptance framework for multimodal access control in the medical information systems. The survey results from participants in Charlotte Maxeke Academic hospital, based in Johannesburg showed a response rate of 86%. Focusing on the objectives of the study the results showed that 76.7% of users’ lack knowledge in the security of information and that there is a lack of security awareness education and training in the hospital. The results of the study are presented and analysed through IBM SPSS statistical software that is used for data analysis.
"Vergine come l'acqua de' maccheroni": "lingua affettiva" and people's humour in the observations noted down by Niccolò Tommaseo on the Crusca Veronese

The paper shows Tommaseo's interest in popular humour, in the ironic and parodic usage of Tuscan parlances, and, more generally, in the expressive potentialities of the Italian language.His sensitivity to the "lingua affettiva" emerges right from his early lexicographical studies, as the original notes made about what is known as the Crusca veronese, which are presented here, illustrate.This research consisted of copying every single note handwritten by Tommaseo on the first volume of the dictionary, tracing each note back to his Crusca reference word and comparing each note with Tommaseo's other lexicographic and non-lexicographic works.From within this corpus of more than one thousand notes, the most significant ones regarding some popular and humorous linguistic uses were selected, such as tropes, euphemisms, and proverbs.Popular language was one of Tommaseo's main fields of investigation, as witnessed by the Canti Popolari edition.In notes such as Bariglione donna berta e grossa, Bell'e ito -Bell'e morto _ ironico, and vergine come l'acqua de' maccheroni Tommaseo revealed the humorous and ironic shades of the popular Tuscan he observed during his "interrogazioni".For Tommaseo the linguistic analysis of the Crusca was an important step towards the composition of the Sinonimi and Tommaseo-Bellini.This is confirmed, on the one hand, by the large number of notes with a reference word synonym and, on the other hand, by the continuous re-use of the annotated materials.It can be concluded that popular humour was an early subject of investigation for Tommaseo, being destined to continue throughout his activity as a lexicographer.
Limited Proxying for Content Filtering Based on X.509 Proxy Certificate Profile

Use of proxy servers to filter content is very critical in achieving both personal and enterprise security. A common practice to perform this task is by allowing a man-in-the-middle to intercept the traffic unconditionally and act as a proxy between the client and the server. While this method is good enough for unencrypted HTTP connections, it is not a good practice in encrypted HTTPS (SSL/TLS) connections. In this paper, we introduce an access-controlled limited proxying framework to allow HTTPS content filtering based on the Internet X.509 Public Key Infrastructure (PKI) Proxy Certificate Profile. Limited proxying allows the client and the server to decide which content can be accessed by a proxy to avoid compromise of sensitive content. The proposed framework grants the user full control to grant or revoke specific proxy privileges which enhances the user’s privacy online. We also define and argue about the security properties of the framework as well as some practical considerations for its implementation.
Interactive game as a means of shaping the creative position of a teenager

The monograph reveals the theoretical and practical basis for the formation of the creative position of a teenager by means of interactive games in educational organizations, contains a scientific rationale for the content and structure of the concept “creative position of a teenager”, pedagogical potential and classification of interactive games, discloses the conditions for the use of interactive games in working with adolescents. Proposed for students, undergraduates and graduate students, teachers – researchers interested in the problem.
A Novel Moving Object Detection Algorithm of the Monitor Video in the Foggy Weather

In severe weather, the traditional three-frame difference method is prone to “hole” phenomenon in the moving object detection of the monitor video. In order to solve this problem, a novel moving object detection algorithm (MOD-DT) is proposed, which is combining dark color prior and oriented filtering. MOD-DT first detects the foggy image of the Monitor video, then de-haze the foggy image by dark primary color, and finally detects the moving object in the Monitor video image by the three-frame difference algorithm. Thus, MOD-DT can reduce the impact of the severe weather on the moving object detection. The experimental results show that this algorithm is superior to the traditional moving object detection algorithm in terms of integrity and accuracy, and can realize fast moving object extraction in the complex background environment.
Multitask Pointer Network for Korean Dependency Parsing

Dependency parsing is a fundamental problem in natural language processing. We introduce a novel dependency-parsing framework called head-pointing--based dependency parsing . In this framework, we cast the Korean dependency parsing problem as a statistical head-pointing and arc-labeling problem. To address this problem, a novel neural network called the multitask pointer network is devised for a neural sequential head-pointing and type-labeling architecture. Our approach does not require any handcrafted features or language-specific rules to parse dependency. Furthermore, it achieves state-of-the-art performance for Korean dependency parsing.
Tibetan word segmentation method based on CNN-BiLSTM-CRF model

We propose a Tibetan word segmentation method based on CNN-BiLSTM-CRF model that merely uses the characters of sentence as the input so that the method does not need large-scale corpus resources and manual features for training. Firstly, we use convolution neural network to train character vectors. Then the character vectors are searched through the character lookup table to form a matrix C by stacking searched results. Then the convolution operation between the matrix C and multiple filter matrices is carried out to obtain the character-level features of each Tibetan word by maximizing the pooling. We input the character vector into the BiLSTM-CRF model, which is suitable for Tibetan word segmentation through the highway network, for getting a Tibetan word segmentation model that is optimized by using the character vector and CRF model. For Tibetan language with rich morphology, fewer parameters and faster training time make this model better than BiLSTM-CRF model in the performance of character level. The experimental results show that character input is sufficient for language modeling. The robustness of Tibetan word segmentation is improved by the model that can achieves 95.17% of the F value.
Developing Engineering Students' Language Skills

At present, language training is part and parcel of engineering education in Russia. A modern engineer must have both a communicative competence in the professional sphere and an intercultural view of the world. Accordingly, the topic of the assessment of foreign language textbooks for technical universities is highly relevant. This chapter is dedicated to this issue. The analysis of foreign language textbooks for technical universities is conducted through a cognitive-linguistic approach, using its toolkit, namely the diagnostic matrix. The diagnostic matrix is based on criteria that allow analyzing training materials, carrying out their diagnostics from the point of view of the specifics and regularities of the formation of students' language picture of the world. This pedagogical research innovation will allow pedagogical science to effectively solve issues related to the elaboration of pedagogical semiology as a new area of pedagogical knowledge.
Privacy-Preserving Searchable Encryption Scheme over Encrypted Data Supporting Dynamic Update

With the advancement of network technology, cloud computing services have become popular due to the on-demand availability of computing resources, large-scale data storage and distribution. Many users are influenced to outsource their private data to cloud servers to cut the costs of building by storing their data locally. Security and privacy protection of such outsourced data become a major security concern. To address this, the outsourced data is encrypted before it is stored on the cloud server. At the same time, users must be enabled to retrieve the data of their interest rather than going through all documents and picking up the ones that are required. This creates a need to search the encrypted data without allowing the cloud service providers know about the search query but still provide the clients with relevant documents. With data continuously changing over time, clients wish to keep their documents updated so as to maintain data consistency and enable other users to fetch the latest relevant data. However, while adding new keywords to documents, the potential positions of newly added keywords are leaked in the existing approaches. In this paper, an efficient and secure approach is proposed that returns the latest relevant documents and also preserves the privacy of updated keywords.
The Beale ciphers in fiction

The Beale ciphers are an interesting unsolved cryptographic puzzle, if for no other reason than their solution may uncover the location of a multimillion-dollar treasure. That is, if they are not a hoax. Over the years many cryptanalysts, amateur and professional, have tried and failed to decrypt the final two Beale ciphers. Recently, a number of writers have used the ciphers in their works of fiction. I review ten such novels and a short animated movie that all use the Beale ciphers as plot elements. The novels fall into two categories. First are novels where the objective is to solve the Beale ciphers and find the treasure. These novels use probable and improbable techniques to find the solutions. In some the solution occurs out of sight so the reader has no insight into the cryptanalysis. Second are novels where the existence of the Beale ciphers and their construction as book ciphers further a different story narrative. In these novels the Beale ciphers are mentioned and described but no attempt is made to solve them. There is usually another book cipher that must be solved instead. In conclusion, the Beale ciphers still seem to be generating significant interest.
A New Paradigm for Acceptance of Analytics in Learning Management Systems at Jordanian Universities (JLMS)

E-learning or learning management systems (LMS) are broadly used in higher education systems. They've become a necessity to help the participants (instructors, students, and administrators) in their daily use. Learning analytics presents an auspicious approach. This chapter aims to examine the acceptance of analytics and use of an LMS at Jordanian universities. It also focuses on the factors influencing acceptance of analytics in LMS at Jordanian universities. Therefore, the chapter presents a new model for acceptance of analytics in learning management systems at Jordanian universities. It calls Jordanian learning management system (JLMS). This chapter is based on the most recent and related literature explaining various scenarios where learning management systems address learning issues in the digital environment in a way that was not possible in the previous confines of print logics.
No possessor inversion in German PPs

There are several options to express possessive relations in German, one of them is the construction using a possessor introduced by the preposition von (‘of’). In non-standard German, these possessive PPs may occur before or after the possessee. However, this is not the case with possessees in dative case or after prepositions. In this case, the possessee obligatorily precedes its possessive PPs. In this paper, we will show that a feature-driven movement approach can derive the restrictions imposed on this construction by assuming a [•P•] on D. This feature can be checked either by merging a higher P or by moving a lower PP. The general constraint Merge-over-Move prefers the former whenever possible. Thus, the construction becomes sensitive to PPs as well as dative DPs, which both block movement to SpecDP.
Adaptive Direct Numerical Simulation with Spatially-Anisotropic Wavelet-Based Refinement

In the wavelet-based adaptive multi-resolution approach to the numerical simulation of turbulent flows, the separation between resolved energetic structures and unresolved flow motions is achieved through the application of a wavelet thresholding filter. For very small threshold values, the effect of residual motions upon the resolved flow dynamics can be completely neglected, which leads to the adaptive Wavelet-based Direct Numerical Simulation (W-DNS) approach.
The South African directory enquiries (SADE) name corpus

We present the design and development of a South African directory enquiries corpus. It contains audio and orthographic transcriptions of a wide range of South African names produced by first-language speakers of four languages, namely Afrikaans, English, isiZulu and Sesotho. Useful as a resource to understand the effect of name language and speaker language on pronunciation, this is the first corpus to also aim to identify the “intended language”: an implicit assumption with regard to word origin made by the speaker of the name. We describe the design, collection, annotation, and verification of the corpus. This includes an analysis of the algorithms used to tag the corpus with meta information that may be beneficial to pronunciation modelling tasks.
Covert Timing Channel Design for Uniprocessor Real-Time Systems

Different from a general-purpose system, a real-time system requires stringent timing guarantees. While existing offline analysis techniques can provide timing guarantees using the worst-case execution time (WCET) of individual tasks, a variation of actual execution time makes it difficult to build covert timing channel. In this paper, we first present a novel covert timing channel, which considers actual execution time distribution of tasks and controls execution time to leak data between conspirators; we demonstrate that it is possible to leak data in real-time systems. Second, we suggest two enhancing techniques called S-R LCM (sender-receiver least common multiple) and noise area to reduce noise in communication. Through simulations, we demonstrate that our covert timing channel can serve trade-off between transmission speed and accuracy; that is, it shows average 50.2%, 54.6% and 51.3% accuracy for 100 test cases with thresholds 0, 1.4 and 2.8. Average 58.4% accuracy is accomplished with best threshold values for 100 test cases, and the maximum accuracy for a single test case is recorded 100.0%.
Research on interferometric equivalent wavelength of broadband light sources

Broadband sources have been suggested for use in the interferometric measurement for which cannot easily generate interference fringes with good contrast unless the optical path difference (OPD) is very small. This leads to another problem: how to get the equivalent wavelength of a broadband light source. For a monochromatic source, the OPD between adjacent fringes is one wavelength; but for a broadband light source which has a variety of wavelengths of light, we need to know which wavelength the OPD between adjacent fringes is equal to. The distribution of the Power Spectral Density (PSD) of the broadband source has a great influence on the value of the equivalent wavelength. For a symmetrical PSD, the equivalent wavelength is its center value; for a non-symmetrical PSD, the equivalent wavelength is not a fixed value which is related to the fringe order. For high-precision interferometry, the equivalent wavelength of such a source must be calculated precisely. In this paper, a formula for the equivalent wavelength of a non-symmetrical PSD of a broadband source is deduced. Because of the complexity of the formula, the relationship between optical path difference and equivalent wavelength is not very intuitive so that a lot of simulation calculations have been done. According to those simulation calculations: the equivalent wavelength of the zero-order fringe is the centroid wavelength of the broadband spectrum; within a range of OPD and with the increase of the fringe order, if the peak wavelength of the spectrum is greater than the centroid wavelength, the equivalent wavelength will increase; if the peak wavelength is less than the centroid wavelength, the equivalent wavelength will decrease; the narrower the spectral bandwidth is, the less obvious the change is.
Using of Linguistic Analysis of Search Query for Improving the Quality of Information Retrieval

The paper describes the process of research and development of methods for linguistic analysis of search queries. Linguistic analysis of search query is used to improve the quality of information retrieval. After syntactic analysis of original search query it translated to a search query in a new format. Taking into account, the features of information retrieval query language allow improving the quality of information retrieval. Also, the paper describes the results of experiments that confirm the correctness of the method.
Influence of temperature factor on the speed of strength gain of modified concrete of workings support

The article analyzes the influence of the temperature of the medium on the speed of strength gain of concrete of workings support. For these purposes, comparative tests of concrete samples at the age of 0.5, 1.0 and 3 days were carried out. As a result of data processing, the dependences of the strength of concrete of support at an early age at different hardening temperatures were obtained. A method for predicting of concrete strength considering the temperature and parameters of the technological cycle of attachment was developed. With this technique, it is possible to more accurately determine the parameters of concreting, reduce the time of Stripping of monolithic support and increase the speed of penetration of workings.
Abstract: Beamforming Sub-Sampled Raw Ultrasound Data with DeepFormer

Converting reflected sonic signals to an ultrasound image, beaforming, has been traditionally formulated mathematically via the simple process of delay and sum (DAS). Recent research has aimed to improve ultrasound beamforming via advanced mathematical models for increased contrast, resolution and speckle filtering. These formulations, such as minimum variance, add minor improvement over the current real-time, state-of-the-art DAS, while requiring drastically increased computational time and therefore excluding them from wide-spread adoption.
Review on recent developments in frequent itemset based document clustering, its research trends and applications

The document data is growing at an exponential rate. It is heterogeneous, dynamic and highly unstructured in nature. These characteristics of document data pose new challenges and opportunities for the development of various models and approaches for documents clustering. Different methods adopted for the development of these models. But these techniques have their advantages and disadvantages. The primary focus of the study is to the analysis of existing methods and approaches for document clustering based on frequent itemsets. Subsequently, this research direction facilitates the exploration of the emerging trends for each extension with applications. In this paper, more than 90 recent (published after 1990) research papers are summarised that are published in various reputed journals like IEEE Transaction, ScienceDirect, Springer-link, ACM and few fundamental authoritative articles.
Resolving range–Doppler coupling in LFM waveforms by steady‐state filters

When linear frequency modulation (LFM) waveforms are utilised to estimate target range, the error due to the velocity effect on range estimation must be reduced. This error, which is caused by the Doppler effect of target velocity, can be decreased using a Kalman filter. However, as the computational work of Kalman filters is so much, steady-state filters are applied. In this study, in order to reduce range estimation error, the coefficients of steady-state filters are calculated using two methods: first, it is computed considering the velocity Doppler error and with the purpose of improving the steady-state response of the filters. In this method, by omitting the velocity Doppler Effect, the bias value and the root-mean-square error of the range estimation are diminished considerably. In the second method, a transfer function is obtained in order to estimate the range using Z-transform, and the coefficients are calculated with the aim of improving the transient response of the filters, and it is observed that the overshoot value and the fluctuations of the transient response of the filters reduce significantly. Furthermore, in this method, unlike the previous one, there is no need for the data of acceleration and the variations of the movement acceleration along the path.