Reviewerly/exHarmony huggingface dataset:
TARİH VE COĞRAFYA ALANINDAKİ TÜRKÇE DERS METİNLERİ İÇİN BİR VARLIK İSMİ TANIMA MODELİ

Named entity recognition (NER) is an information extraction (IE) task that is in the scope of natural language processing (NLP) and text mining. Its extent and methods may differ between studies, but basically, it aims to detect expressions that indicates a person, location, organization etc. In this study, a NER structure is developed for Turkish lecture notes (for history and geography courses). Separately, this structure is a project that is specialized for an information extraction task. Besides, it also has an educational value, as the projected outcome from its execution is meaningful words or word groups from the content of input lecture notes, which can be used to construct glossary of terms structures for individual courses or course subjects. With these glossary of terms structures, it is aimed to detect expressions in the content of a lecture note that can be used for questions and support a test preparation process. In this document, general information about NER task and its scope is given; previous studies on the field are mentioned; the system developed in line with this study is introduced; success of the system is evaluated through experiment results and some thoughts for enhancement are shared.
Text-independent Speaker Recognition of Mandarin by Big Data Technic of GMM and VQGMM

Speaker recognition has been long a popular research topic as to identify a specific speaker by his free speech of text-independent. This study uses Mel-frequency Cepstrum technic to simulate and extract speakers features; uses big data technic of Gaussian Mixture Model, and Vector Quantization Gaussian Mixture Model to find out the impact factors that affecting speaker identification hit rate. Research result showed training identification hit rate saturated when Gaussian mixture numbers reached specific level, then start to decreasing. Research result showed VQMM owns triple performance than GMM at training data sets. Research result suggests upcoming scholars do not take GM number as the sore tool to achieve identification hit rat.
Mask optimization for 1D scanning projected fringe profilometry

A mask optimization algorithm is presented for the scanning projected fringe profilometry. It uses a sinusoidal pattern to illuminate the inspected object. Fringes on the inspected objects are recorded by the image sensor array. The mask optimization algorithm helps to identify the amplitude of the projected fringes. With the mask optimization, to analyze surfaces with low reflectance is possible.
The screaming balloon: predicting the sound produced by a hex nut inside a balloon

In this work we studied the sound produced by the movement of a hex nut inside an air balloon. We demonstrated, by experiments with hex nuts and nuts without edges, the importance of the nut edges for the production of the screaming sound. Our experimental results show that the most intense frequency of the sound spectrum is directly proportional to the hex nut’s speed of translation, while inversely proportional to its lateral length, thus allowing one to predict the most intense frequency generated by this system.
$a_S$ from H1 jets

The value of α s (m Z ) is determined from inclusive jet and di-jet cross sections in neutral-current deep-inelastic ep scattering (DIS) measured at HERA by the H1 collaboration using next-tonext-to-leading order (NNLO) perturbative QCD predictions.Using inclusive jet and di-jet data together, the strong coupling constant is determined to be α s (m Z ) = 0.1157(20) exp (29) th .Complementary, α s (m Z ) is determined together with parton distribution functions of the proton (PDFs) from jet and inclusive DIS data and the value is determined to be α s (m Z ) = 0.1142(28) tot .Both results are found to be consistent.The running of the strong coupling is tested at different values of the renormalisation scale and the results are found to be in agreement with expectations.α
New Biological Theories as a Basis for Safe Receiving Genetically Modified Person

The ethical issue of obtaining genetically modified people today is one of the most important issues of concern to progressive humanity.The thing is that a certain part of society with great concern and apprehension perceives the introduction of new technologies into the lives of millions of people.According to this position, modern genetic technologies can lead to the death of mankind or at least cause a huge number of mutants that are harmful to nature.found in almost every ecosystem on Earth, they are the most numerous biological form.Viruses are obligate parasites, as they are not able to multiply outside the cell [26].
Design and Buckling Analysis of a Multi-Shell Blended Wing Body for Interior Floor

The present paper highlights the basic difference between a conventional aero plane body and a more aesthetic multishell blended wing body. The interior structure consist of wall partitions and floor, of which floor design is significantly emphasized in this work. In this paper two relevant structural design aspects are considered for Isotropic materials and composite materials. The modeling and statical buckling analysis of blended wing body is carried out and the results are investigated for the optimum selection of material to be employed in making blended wing body.
Computation of Scientific References Using Vector Space Model over Cosine Similarity and Hamming Distance (Case Study: Department of Informatics UNS)

Bibliography on final project contains references that are used by writer. References cited in the form of books, journals, magazines, newspapers or internet. Scientific works in the form of journals and proceedings used as references also are listed in the bibliography. Calculation of scientific works that have been noted in the bibliography can be used to calculate the frequency of the use of scientific works used by undergraduate students of Informatics UNS in the form of Vector Space Model using Cosine Similarity and Hamming Distance. Calculation of the frequency of use of the work of the scientific method using Vector Space Model to find the value of the weight of the title scientific papers where the results will be used to identify the title similarity search papers by using the method of Cosine Similarity. Hamming Distance method used to calculate the distance of the similarity of author names and year. The data used for this research is 100 final project documents. There are 47% of eligible documents Harvard and APA. The result of the calculation has been done i.e. There are 27 same scientifi works, and produces 12 scientific papers that have a frequency of occurrence of twice or more. There are 5 scientific papers originating from within the country, and 7 scientific papers which came from international.
A Study of Clustering Algorithm for Student Analysis

International Journal of Computer Sciences and Engineering (A UGC Approved and indexed with DOI, ICI and Approved, DPI Digital Library) is one of the leading and growing open access, peer-reviewed, monthly, and scientific research journal for scientists, engineers, research scholars, and academicians, which gains a foothold in Asia and opens to the world, aims to publish original, theoretical and practical advances in Computer Science,Information Technology, Engineering (Software, Mechanical, Civil, Electronics & Electrical), and all interdisciplinary streams of Computing Sciences. It intends to disseminate original, scientific, theoretical or applied research in the field of Computer Sciences and allied fields. It provides a platform for publishing results and research with a strong empirical component. It aims to bridge the significant gap between research and practice by promoting the publication of original, novel, industry-relevant research.
Polarization Dynamics of VCSELs Improves Reservoir Computing Performance

We present a new architecture of time delay-reservoir reservoir computer based on the polarization dynamics of a VCSEL. This architecture achieves state of the art performance. Moreover, implementing polarization rotated feedback instead of a polarization preserving feedback allows further improvement to the computing performance. This enhancement of the reservoir computing performance is demonstrated on a telecommunication task: nonlinear channel equalization. Numerical simulations show better performance while using the polarization rotated feedback compared to isotropic feedback. This first insight is also proved experimentally and experiment and theory agree not only qualitatively, but also quantitatively.
Rich and Poor Chinese Vocabulary in the Context of Convergent Media

With the development of society and science and technology, traditional media and new media interweave with each other, forming a network three-dimensional structure, namely, convergent media. Media platforms such as radio, television and the Internet have become the mainstream way of information dissemination. Under this background, Chinese vocabulary has also developed unprecedentedly. New words change with each passing day and spread rapidly on the convergent media platform, making traditional Chinese vocabulary face unprecedented challenges. On the face of it, the vocabulary ranks are expanding continuously, showing various and flexible features. In essence, under the constant pursuit and imitation of vocabulary users, the current Chinese vocabulary has the coexistence of "increasingly rich" and "increasingly poor". This will not only affect the purity of Chinese, from a certain point of view, it will also cause invisible and huge damage to people's spiritual world. Therefore, the development trend of Chinese vocabulary in the future is worth our deep thinking.
Development and Application of Quality Control System for Highway Subgrade Construction

The compaction quality of the subgrade is directly related to the service life of the road. Effective control of the subgrade construction process is the key to ensuring the compaction quality of the subgrade. Therefore, real-time, comprehensive, rapid and accurate prediction of construction compaction quality through informatization detection method is an important guarantee for speeding up construction progress and ensuring subgrade compaction quality. Based on the function of the system, this paper puts forward the principle of system development and the development mode used in system development, and displays the development system in real-time to achieve the whole process control of subgrade construction quality.
Overtime Planning Using Evolutionary Algorithms in Software Development

International Journal of Computer Sciences and Engineering (A UGC Approved and indexed with DOI, ICI and Approved, DPI Digital Library) is one of the leading and growing open access, peer-reviewed, monthly, and scientific research journal for scientists, engineers, research scholars, and academicians, which gains a foothold in Asia and opens to the world, aims to publish original, theoretical and practical advances in Computer Science,Information Technology, Engineering (Software, Mechanical, Civil, Electronics & Electrical), and all interdisciplinary streams of Computing Sciences. It intends to disseminate original, scientific, theoretical or applied research in the field of Computer Sciences and allied fields. It provides a platform for publishing results and research with a strong empirical component. It aims to bridge the significant gap between research and practice by promoting the publication of original, novel, industry-relevant research.
Numbers Normalisation in the Inflected Languages: a Case Study of Polish

Text normalisation in Text-to-Speech systems is a process of converting written expressions to their spoken forms.This task is complicated because in many cases the normalised form depends on the context.Furthermore, when we analysed languages like Croatian, Lithuanian, Polish, Russian or Slovak there is additional difficulty related to their inflected nature.In this paper we want to show how to deal with this problem for one of these languages: Polish, without having a large dedicated data set and using solutions prepared for other NLP tasks.We limited our study to only numbers expressions, which are the most common nonstandard words to normalise.The proposed solution is a combination of morphological tagger and transducer supported by a dictionary of numbers in their spoken forms.The data set used for evaluation is based on the part of 1million word subset of the National Corpus of Polish.The accuracy of the described approach is presented with a comparison to a simple baseline and two commercial systems: Google Cloud Text-to-Speech and Amazon Polly.
Scottish Biometrics Commissioner Bill: Submission from Professor Carole McCartney and Aaron Amankwaa, Northumbria University

A response to Scottish Biometrics Commissioner Bill: the written evidence addresses areas where the Bill on independent oversight of the Scottish biometrics regime may be improved.
IMPACT OF TRANSACTIONAL LEADERSHIP STYLE ON EMPLOYEE COMMITMENT AND INNOVATION IN KADUNA REFINERY AND PETROCHEMICAL COMPANY, KADUNA. NIGERIA.

This study investigated the Impact of Transactional Leadership Style on Employee Commitment and Innovation in Kaduna Refinery and Petrochemical Company, Kaduna Nigeria. A random sample population size of 304 was drawn from the total population of 1443 employees across the departments of the refinery using Krejcie Morgan formula of sample size determination. The survey technique was adopted for collecting data. Correlation and Regression analysis were conducted with the aid of SPSS software. Findings revealed that transactional leadership style significantly elicited employee commitment greatly as compelled to innovation among workers in the refinery. The study concluded that there is a correlation between transactional leadership style and commitment as well as innovation in Kaduna Refinery and Petrochemical Company. The study, therefore, recommends that the refinery leadership should introduce more leadership attitudes in addition to the transactional leadership attitudes to further boost employee innovation and other performance indicators instead of relying solely on transactional leadership style in the company.
Profile measurements using contrast-encoded pattern projections

A contrast-encoded method based on the phase-shifting technique for 3D shape measurements is presented. Phase extraction is performed by the phase-shifting technique, while unwrapping is discerned by the quaternary contrastencoded patterns. There is no need to take additional projections for phase unwrapping. The fringe patterns used for phase extraction can be analyzed for unwrapping directly. This makes it more efficient to perform high speed, real time, and low cost 3-D shape measurements.
ReadME – Your Personal Writing Assistant

Essay writing is a difficult cognitive task for both students striving to express their ideas, as well as for tutors investing time to perform evaluations. Besides the validity of the presented ideas, students should verify that their writing is correct and coherent before submitting their essay. ReadME provides an automated method for students to evaluate and improve their writing style based on personalized suggestions. The system is also beneficial for tutors who receive a substantial number of essays for grading and require support. ReadME provides feedback at different granularity levels based on advanced Natural Language Processing techniques used to analyze the submitted texts in terms of lexicon, morphology, syntax, semantics, discourse, with emphasis on text cohesion. The prototype system is available for Romanian and English languages.
A Modular Aspect-Oriented Programming Approach of Join Point Interfaces

This paper describes and analyzes the main differences and advantages of the Join Point Interfaces (JPI) as an Aspect-Oriented Programming (AOP) approach for the modular software production concerning the standard aspect-oriented programming methodology for Java (AspectJ) to propose a structural modeling approach looking for modular software solutions.Using a Software Engineering point-of-view, we highlight the relevance of structural and conceptual design for JPI software applications.We model and implement a classic example of AOP using AspectJ and JPI as an application example to review their main difference and highlight the JPI consistency between products (models and code).Our proposal of UML JPI class diagrams allows the definition of oblivious classes which know about their JPI connections, an essential element to adapt and transform tradition like-AspectJ AOP solutions to their JPI version.Thus, for the modular software production and education, JPI seems an ideal software development approach.
IMPLEMENTASI DETEKSI TEPI MENGGUNAKAN METODE QUADRANT TREE CLASSIFIER PADA PEMISAHAN OBJEK BERBASIS DIGITAL IMAGE PROCESSING (STUDI KASUS : OBJEK BENDERA NEGARA)

Edge detection is segmentation of image input that aims to determine the edge by marking the detail part of an image. From some previous studies it has not been shown the results of detection to be able to separate objects from the center of the image input image itself. The purpose of this study is to perform an edge detection function by dividing into nodes using the concept of the Quadran Tree Classifier method to be applied to the case study of the object colored image of the using national flag. Some input images have different levels of complexity and pixels, including the Korean flag, Wales flag, and the flying Indonesian flag. The method is the adoption of  tree data structure, where each has 4 nodes the same number of child nodes. If the node has children, number of nodes must be 4, recursively doing the loop. The working concept of this method split and merge segmentation. The results of object segmentation combined in accordance with the homogeneity of colors, especially those with confusion. This research show which is able to observe the scanning pixel on image Korean flag and the flying Indonesian flag, however level pixel 520 x 347 such as Wales flag, this method is unable to separate between line object that is not nudge. The pixel resolution has an effect with total time execution segmentation (minute/sec), total segmentation identified and the total colour. Keywords : edge detection , quadran t tree, digital image processing, image , segmenta tion
Study on Graduation Design of Undergraduates Majoring in Geographic Information System

Graduation design is an very important part of undergraduate education, and its a summative display of the undergraduate education quality. In this paper, on the basis of investigation, the current situation of GIS(Geographic Information System) mayor undergraduate graduation design was analyzed, and the deficiencies are summarized. combined with mayor development, the requirements and standards of GIS mayor graduation design were researched, and the corresponding working method of graduation design was put forward, these works can be a good reference for development of GIS mayor.
Блокчейн и институциональная сложность: постинституционализм vs. неоинституционализм

From the point of view of modern neo-institutional economics, blockchain is an institutional technology that minimizes transaction costs and leads to the elimination of intermediation. Using the example of the blockchain, I demonstrate the possibilities of post-institutionalism – a new generation of methodologies and theories of institutional analysis, alternative to neo-institutional economics. Based on the theory of transaction value, I argue that the blockchain technologies will not radically reduce transaction costs, but will reorient intermediaries to improving the quality of transactions and expanding the offer of additional transaction services. Using the theory of institutional assemblages, I argue that it is impossible to form a homogeneous system of blockchain-based institutions associated exclusively with the principles of decentralization, transparency and openness. Blockchain-based institutions will be of a hybrid nature, combining elements of opposing institutional logics – regulatory and algorithmic law, Ricardian and smart contracts, private and public systems, uncontrollability and arbitration
Solving Travelling Salesman Problem using an Enhanced Ant Colony Algorithm

International Journal of Computer Sciences and Engineering (A UGC Approved and indexed with DOI, ICI and Approved, DPI Digital Library) is one of the leading and growing open access, peer-reviewed, monthly, and scientific research journal for scientists, engineers, research scholars, and academicians, which gains a foothold in Asia and opens to the world, aims to publish original, theoretical and practical advances in Computer Science,Information Technology, Engineering (Software, Mechanical, Civil, Electronics & Electrical), and all interdisciplinary streams of Computing Sciences. It intends to disseminate original, scientific, theoretical or applied research in the field of Computer Sciences and allied fields. It provides a platform for publishing results and research with a strong empirical component. It aims to bridge the significant gap between research and practice by promoting the publication of original, novel, industry-relevant research.
Peculiarities of forming information ethics

This article refers to the concept of information ethics, discusses the meaning and significance of information ethics, new and old history, the research sphere and the factors of its formation. As well as, it discusses the various theories of researchers on the field of information ethics.
Quantum state engineering and state tomography using photon-number-resolving measurements (Conference Presentation)

Quantum state engineering and state characterization is a key task in quantum information processing in both discrete and continuous variable systems in the optical domain. In particular, quantum states with non-Gaussian (i.e., non-positive) Wigner quasiprobability distribution functions are crucial to universal, fault-tolerant quantum computing with continuous variables. In this talk, we present our recent results on single-photon Fock state tomography using Photon-Number-Resolving (PNR) measurements. We generated a highly pure narrow-band single-photon Fock state by heralding cavity-enhanced spontaneous-parametric-downconversion from a PPKTP optical parametric oscillator. The Wigner function was reconstructed with photon statistics obtained using superconducting transition-edge sensors with an overall system efficiency of 58(2)%. We then discuss quantum state engineering for pure displaced single-photon Fock states, optical cat states, and approximate GKP states using coherent states and single-photon states along with linear optics and PNR measurements. We report our experimental progress for the same.
MAX-MiBit-An Algorithm To Discover Maximal Frequent Itemsets From Large Transactional Datasets

A new algorithm for mining maximal frequent items was proposed in this paper.The proposed algorithm initially discover the missing items in the transactions and then uses simple bit vector computations to unearth maximal frequent itemsets from the large transactional datasets.The noticeable attribute of the proposed algorithm MAX-MiBit is that the maximal frequent itemsets are discovered in a straight forward method and the uncertain items are removed instantaneously to enhance the execution speed and to decrease the memory consumption.The experimental evaluation showcased that the proposed algorithm MAX-MiBit outscores the state of the art current algorithms by a huge margin with respect to execution speed and memory consumption.
Randomization, Masking, and Allocation Concealment.

"Randomization, Masking, and Allocation Concealment.." Journal of the American Statistical Association, 114(527), pp. 1423–1424