Reviewerly/exHarmony huggingface dataset:
Nonlinear Filtration Algorithms of Binary Linear Recurrent Sequence with Random Delay and Random Initial Phase

Information systems are developing and improving very fast. The requirements for synchronization for such systems also increase. In such systems linear recurrent sequences are widely used for synchronization. In this paper filtration algorithms of linear recurrent sequences sequences are synthesized. The synthesized algorithms can be classified as quasi-noncoherent (subincoherent) algorithms, as opposed to quasi-coherent algorithms, which use phase estimate of the received signal, or to noncoherent algorithms that use averaging over the entire region of phase uncertainty. The results of computer simulation of developed algorithms for various signal-to-noise ratios and accumulation time are presented.
A Survey of Hand Posture Estimation Techniques and Optimisation Algorithms

This chapter reviews a wide range of relevant works in the literature of two fields: hand posture estimation and evolutionary stochastic optimisation. Since this book contributes to the field of hand posture estimation, this chapter analyses the literature of hand posture estimation and highlights the gaps as well. The logical order of sections is illustrated in Fig. 2.1.
LibGuides: Education & Psychology: Books

This Library Guide will help students find the resources they need for their educational psychology research.
Eye-Gaze Monitored Unmanned Motorized Wheelchair using Eye Blinking Sensor

The challenging problem faced by the disabled people is their independent mobility. They need an external help to perform their day to day activities. The main objective of this project is toprovide a security system for disabled people. The wheel chair will work based on the eye blinking movement of the user. The recognized blinking counts are used to generate motion control commands to the controller so that it can control the motion of the wheel chair according to the user intention.The direction command relates to the movement direction of electric wheelchair, and the timing command relates to the time condition when the wheelchair shouldmove. The timing command with eye blinking mechanism is designed to generate ready,backward movement, and stop command for the electric wheelchair.Furthermore, to move in certain velocity, the electric wheelchair also receives the velocity command beside the direction and timing command.The disturbance observer based control system is usedto control the direction and velocity.
Detection and Tracking of a Fast-Moving Object in Squash using a Low-Cost Approach

Advancement in technology has given rise to the need for technology to be utilized in extracting meaningful game-play information from sports. To do so in a ball-game like squash, the prime objective is to perform ball-tracking in an adequate and efficient manner. In squash, ball-tracking is complex due to the small size of the ball, the high-speed movement and constant occlusion due to the continuous movement of the players. The current state-of-the-art ball tracking methods use high-speed cameras along with high-computation power resources to solve these problems in similar sports such as tennis. The aim of this thesis is to solve the challenges in ball-tracking for squash using a low-cost approach with low-computation power resources and a single camera view. A ball-detection system with a high-accuracy and a ball-tracking system which can optimally tackle the problem of occlusion is developed using computer-vision techniques and by utilizing the cues from the game itself. The implementation is carried out on a Raspberry-Pi which is characterized as a low-computation platform with an Arm Cortex-A53 processor. The results show that the tracking-problem can be solved using a low-cost approach for the challenging scenarios that are present in squash. The 2D trajectory of the ball generated as a result can be used for various applications such as line-calling, shot analysis and game analysis.
Perbandingan Quadratic Discriminant Analysis dan Support Vector Machine untuk Klasifikasi Tutupan Lahan di DKI Jakarta

DKI Jakarta is a center of government as well as economy and business of Indonesia, thus development projects in Jakarta continue every year. Therefore, monitoring for land use has to be improved in accordance to DKI Jakarta Spatial Planning. The attempt needs to be supported by continuous data availability regarding land cover condition in Jakarta. The aforementioned data collecting process become easier due to remote sensing technology development. Remote sensing technology can be utilized for analyzing the size of land use area by using classification analysis. It has been found that the level of accuracy depends on the type of classification method and number of training data. This research evaluated the level of overall accuracy, sensitivity, and specificity of Quadratic Discriminant Analysis (QDA) and Support Vector Machine (SVM) along with number of data training used in classifying Jakarta land cover in 2017. The results showed that in both methods, the variance of all the aforementioned criteria were getting smaller along with the increasing number of training data. QDA and SVM had similar performance based on overall accuracy and specificity. However, SVM was better than QDA on sensitivity.
Creating an Angular App, Part 1

In this chapter, I start the process of creating an Angular web application that has the same set of features as the example in Chapters 15 and 16 . Unlike other frameworks, where using TypeScript is an option, Angular puts TypeScript at the heart of web application development and relies on its features, especially decorators. For quick reference, Table 17-1 lists the TypeScript compiler options used in this chapter.
Your First TypeScript Application

The best way to get started with TypeScript is to dive in. In this chapter, I take you through a simple development process to create an application that keeps track of to-do items. Later chapters show how TypeScript features work in detail, but a simple example will be enough to demonstrate how the basic TypeScript features work. Don’t worry if you don’t understand everything in this chapter. The idea is just to get an overall sense of how TypeScript works and how it fits into an application.
A New 3D Hand Model, Hand Shape Optimisation and Evolutionary Population Dynamics for PSO and MOPSO

The preceding chapter reviewed the literature and identified the current gaps in the main phases of hand posture estimation using models with simple components. It was discussed that the current hand models with simple components provide the least possible structural parameters (especially for changing the shape of a hand) to reduce the number of possible hand postures to search and computational cost of the objective function. It was observed that there should be more 3D hand models with simple components to provide a more flexibility and better estimation of both posture and handshape simultaneously. This chapter proposes a new hand model combining the best features of the current best models and a number of new components. The structural parameters of the proposed model allow better flexibility in terms of changing the shape.
Multi-Components Low Dimensional Manifold Model For Photonlimited Poisson Noisy Image Reconstruction

The exploitation of prior of image is very important for the reconstruction of photon-limited Poisson image which is urgent demand and particularly challenging in many application fields. Recently, a low dimensional manifold model has attracted attention in image processing, in which all image patches are treated as samples of a same manifold and the dimension of patch manifold is utilized as a nonlocal regularization prior. But in fact, different image patches often belong to different manifolds, and existing analysis shows that the patch manifolds corresponding to different image components often have different dimensions. Considering this difference, we propose to cluster the image patches into several groups corresponding to certain image components such as cartoon component, texture and edges firstly, and then utilize different low dimensional manifold regularizations for different image patch groups and propose a multi-components low dimensional manifold model for Poisson noisy image reconstruction. Numerical experiments show that our method can improve the result both visually and in terms of the peak-signal-noise-ratio and the featuresimilarity-index-measurement efficiently, especially for the Poisson images with extremely small number of photons.
JavaScript Primer, Part 2

In this chapter, I continue describing the JavaScript type features that are important to TypeScript development. In this chapter, I focus on the JavaScript support for objects, the different ways they can be defined, and how they relate to JavaScript classes. I also demonstrate the features for handling sequences of values, the JavaScript collections, and the modules feature, which allows a project to be split up into multiple JavaScript files.
Iodium intake, history of breastfeeding, growth and development of toddler aged 13–23 months at Srumbung, Magelang

Background: The age of 0–2 years is the golden period because this is period of the fastest development of brain nerve. Breast milk contains iodine which is useful to maximize the process of growth and development of children. Iodine deficiency can also cause cretinism, usually occurring in endemic hyacinth areas such as at Srumbung. Objective: To determine the relationship between iodine intake and establishment of breastfeeding toward the growth and the development of toddler aged 13–23 months in three villages in Srumbung, Magelang City. Methods: This was survey study with cross sectional design. The study was conducted from April to May 2018 in Ngablak, Ngargosoko and Srumbung. The population were 110 toddler aged 13–23 months. Subjects were 86 children and were taken with proportional random sampling. Data of iodine intake, history of breastfeeding, and developmental were collected through interviews, while anthropometric data were obtained through direct measurement. Data were analyzed using Chi Sqare test with CI 95%. Results: The statistical analysis showed the maternal iodine intake and child growth had p =0,350, maternal iodine intake with child development had p=0,170, history of breastfeeding with child growth had p=0,130 and history of breastfeeding with child development had p=0.004. Conclusion: There was no relationship between maternal iodine intake and child growth, maternal iodine intake and child development, and history of breastfeeding and child growth. There was relationship between establishment of exclusive breastfeeding with development.
Industry Competition: The Blockchain Versus Centralized Authority

Existing industries must deal with encroachment by a blockchain-based competitor. We provide an abstract asset-trading model to analyze the competition between the blockchain operated by the distributed ledger system (DLS) and the traditional industry run by a centralized authority. They both provide a trading method to users (traders) and try to mitigate information asymmetry between them. In contrast to the traditional models of industry competition (e.g., Bertrand and Cournot), the blockchain's strategy is determined competitively by its miners and users. Our model characterizes when and why the blockchain can be more efficient than the centralized authority and investigates why we need the blockchain system in addition to the existing trading methods.
QR Code As the Delivery of Information to Universities

Abstract&#x0D; Wall or magazine magazines are a means of delivering information on Raharja College campus. In the delivery of information, the magazine has been widely spread in several applications of Raharja College, iRan and GreenDoc. However, this is still not optimal because the method used is still using paper. And also the lack of awareness of students will read the information on the magazine. QR codes are a type of two-dimensional matrix code or bar code developed by Denso Wave in 1994. With that, the form of information is reduced to a QR code that can store detailed information displayed on a monitor screen available at several strategic corners of the campus and scan the code on the main page of the online magazine website. The method used is the waterfall method, observation, and literature study and journal references as supporting in writing. This research was designed to make it easier to access information and attract reading interest to students of Raharja College.
JUMT at WMT2019 News Translation Task: A Hybrid Approach to Machine Translation for Lithuanian to English

In the current work, we present a description of the system submitted to WMT 2019 News Translation Shared task. The system was created to translate news text from Lithuanian to English. To accomplish the given task, our system used a Word Embedding based Neural Machine Translation model to post edit the outputs generated by a Statistical Machine Translation model. The current paper documents the architecture of our model, descriptions of the various modules and the results produced using the same. Our system garnered a BLEU score of 17.6.
Using Generic Types

Generic types are placeholders for types that are resolved when a class or function is used, allowing type-safe code to be written that can deal with a range of different types, such as collection classes. This is a concept that is more easily demonstrated than explained, so I start this chapter with an example of the problem that generic types solve and then describe the basic ways that generic types are used. In Chapter 13 , I describe the advanced generic type features that TypeScript provides. Table 12-1 summarizes the chapter.
Constructing Recursive MDS Matrices Effective for Implementation from Reed-Solomon Codes and Preserving the Recursive Property of MDS Matrix of Scalar Multiplication

MDS matrices from Maximum Distance Separable codes (MDS codes) and MDS matrix transformations have important applications in cryptography. However, MDS matrices always have a large description and cannot be sparse, causing costly hardware/software implementations. Recursive MDS matrices allow to solve this problem as they can be a power of a simple serial matrix, so there is a compact description suitable even for constrained processing environments. In this paper, the method for constructing recursive MDS matrices effective for implementation from Reed-Solomon codes is presented. In addition, preserving the recursive property of MDS matrix of scalar multiplication transformation is given. The recursive MDS matrices effective for implementation are meaningful in hardware implementation, and the ability to preserve recursive property of MDS matrix of scalar multiplication transformation also has important applications for efficiently building dynamic block ciphers to improve the security of block ciphers.
Design Science for PhD Research in the Software Engineering Domain.

The keynote introduced the principles of Science with the perspective developed by Prof. Roel Wieringa in his book Design Science, clearly distinguishing between questions of knowledge and engineering problems, and introducing the research cycles that correspond to each case. A rigorous framework for the structuring and development of Doctoral Thesis work will be presented from a methodological point of view and with concrete examples, which participants will be able to apply to their Doctoral Thesis work. The final objective is that doctoral students know how to apply the principles of Science to the development and management of their scientific work and can use an effective research methodology, well supported by clear concepts and efficient in their application.
Future Trends in Hand Posture Estimation

This chapter first summarises the contributions, results and findings of this book. The achievements are then discussed. Finally, a number of research directions are suggested for future work.
Compact Reconfigurable Optical Unitary Converter based on Non-Uniform Multimode Interference Coupler

We propose and demonstrate reconfigurable optical unitary converter with non-uniform multimode interference (MMI) couplers. By using compact 182-μm -long non-uniform MMIs, desired 8×8 unitary operation is obtained with the crosstalk equivalent to that with 364-μm -long uniform-MMIs.
Workload-Awareness in a NoSQL-Based Triplestore

RDF and SPARQL are increasingly used in a broad range of information management scenarios. Scalable processing of SPARQL queries has been the main goal for virtually all the recently proposed RDF triplestores. Workload-awareness is considered an important feature for the current generation of triplestores. This paper presents WA-RDF, a middleware that addresses workload-adaptive management of large RDF graphs. These graphs are stored into NoSQL databases, which provide high availability and scalability. The focus of this paper is on the Workload-Aware component (WAc) of WA-RDF. WAc was developed to avoid data fragmentation, improve data placement and reduce the intermediate results. Our experimental evaluation shows that the solution is promising, outperforming a recent baseline.
Joint Modeling for Bidirectional Neural Machine Translation with Contrastive Learning

Standard neural machine translation (NMT) only captures unidirectional dependencies to model a translation process from source to target. Nevertheless, the inverse information is explicitly available to reinforce the confidence of the translation process. We therefore propose an end-to-end bidirectional NMT model to associate the standard source-to-target and target-to-source translation models through a novel soft connection approach, which opens up the information interaction between two directional models. We also adopt a contrastive learning approach to train the bidirectional NMT model so as to enhance the information interaction. Experiments on Chinese-English and English-German translation tasks demonstrate that our approach significantly outperforms strong NMT and SMT baseline systems.
Prototype of a Security Architecture for a System of Electronic Voting for the Ecuador

To be able to perform a better voting system, it is important to go to ICT and its various platforms designed for electoral purposes, which are being used in several countries in Latin America.In Ecuador are being used digital mechanisms during the process, but with certain errors and he is being considered to implement electronic voting, although it remains a project.The objective of this study is to analyze the prototype of a security architecture for a system of electronic voting for the Ecuador.In this study applied a quantitative, deductive, non-experimental descriptive criteria allowing to analyze the documents of reference.It was observed that the laws governing the franchise in the country have been well designed to provide facilities to the greatest number of voters, whether people with certain physical disabilities or with deprivation of liberty; In addition gives to know how to vote and the rapid counting system.It is concluded that architecture deserves a protocol that protects information throughout the electoral process and also the use of cryptographic algorithms with special software, that allows to work quickly and provide security properties, integrity and authenticity.
Low-Resource Sequence Labeling via Unsupervised Multilingual Contextualized Representations

Previous work on cross-lingual sequence labeling tasks either requires parallel data or bridges the two languages through word-byword matching.Such requirements and assumptions are infeasible for most languages, especially for languages with large linguistic distances, e.g., English and Chinese.In this work, we propose a Multilingual Language Model with deep semantic Alignment (MLMA) to generate language-independent representations for cross-lingual sequence labeling.Our methods require only monolingual corpora with no bilingual resources at all and take advantage of deep contextualized representations.Experimental results show that our approach achieves new state-of-the-art NER and POS performance across European languages, and is also effective on distant language pairs such as English and Chinese.
Generalized Block-Diagonal Structure Pursuit: Learning Soft Latent Task Assignment against Negative Transfer

In multi-task learning, a major challenge springs from a notorious issue known as negative transfer, which refers to the phenomenon that sharing the knowledge with dissimilar and hard tasks often results in a worsened performance. To circumvent this issue, we propose a novel multi-task learning method, which simultaneously learns latent task representations and a block-diagonal Latent Task Assignment Matrix (LTAM). Different from most of the previous work, pursuing the Block-Diagonal structure of LTAM (assigning latent tasks to output tasks) alleviates negative transfer via collaboratively grouping latent tasks and output tasks such that inter-group knowledge transfer and sharing is suppressed. This goal is challenging, since 1) our notion of Block-Diagonal Property extends the traditional notion for square matrices where the $i$-th column and the $i$-th column represents the same concept; 2) marginal constraints on rows and columns are also required for avoiding isolated latent/output tasks. Facing such challenges, we propose a novel regularizer by means of an equivalent spectral condition realizing this generalized block-diagonal property. Practically, we provide a relaxation scheme which improves the flexibility of the model. With the objective function given, we then propose an alternating optimization method, which not only tells how negative transfer is alleviated in our method but also reveals an interesting connection between our method and the optimal transport problem. Finally, the method is demonstrated on a simulation dataset, three real-world benchmark datasets and further applied to personalized attribute predictions.
Transdimensional Bayesian Thermochemical Joint Inversion of Seismic, Gravity and Surface Elevation Data

Summary We introduce a transdimensional probabilistic inversion algorithm in which seismic traveltime, gravity and surface elevation data are inverted for thermochemical parameters of the crystalline crust.
A Language Analysis of Instructions in The Revised Tenth Grade English Textbook

Instructions in the revised Tenth Grade English Textbook are studied on the language. The questions are how diction, sentence structure, and language style of instructions are, and how the students’ perceptions of the instructions’ language are. This was a qualitative study by observation checklist for language-related phenomenon and an open-ended interview for students’ opinions. The data were analysed descriptively. The diction uses many words and has misspellings. The structure is varied, consisting of imperative, declarative and interrogative sentences, but some are long and ungrammatical. The language style is varied, using negative, positive politeness, solidarity, and deference, using and no pre-sequences, and saying nothing, something off record, and something on record, but is Indonesian-like rather than the effective English. The students said that the instructions are too long, very formal, and confusing. In conclusion, the language of the instructions is not effective. The suggestion is to relate the instructions to students’ level of English proficiency.