Reviewerly/exHarmony huggingface dataset:
PENGARUH PENGGUNAAN MEDIA FLASH CARD TERHADAP KETERAMPILAN MENULIS KARANGAN NARASI SISWA KELAS III SDN 188 PEKANBARU

The background of this research is the low level of narrative essay writing skills. This is due to several factors including because students are less interested and feel bored with writing material, students have difficulty in choosing words and use of spelling, it is because students do not have a broad vocabulary, so the words used are just that, so essays written only modest, usually consisting of 1-2 sentences. Then students are less skilled in connecting one sentence with another sentence so that no good paragraphs are formed. Students are confused in placing punctuation marks such as periods, commas, question marks, and exclamation points that are still incorrect. This study aims to determine the effect of the use of flash card media on the narrative essay writing skills of third grade students at SDN 188 Pekanbaru. This research method uses quasi experimental Nonequivalent Control Group Design. The population of this research is class III students of SDN 188 Pekanbaru, which is class IIIA, amounting to 40 students as the control class and class IIIB, which amounts to 40 students as the experimental class. The sampling technique uses saturated samples. The instrument used as data in this study was an essay test in the form of a narrative essay writing assignment. Hypothesis testing is done by using the "t" test and Effect Size (ES). Based on the results of the study shows that the use of flash card media affects the writing skills of students' narrative essays and the magnitude of the effect of flash card media is included in the medium category
An empirical study for evaluating performance of King Abdulaziz International Airport with Six Sigma

This research is intended to evaluate the efficiency of proceures and processes used by the King Abdulaziz International Airport (KAIA) in Jeddah, Saudi Arabia with the help of Six Sigma. For, we have framed different objectives for analyzing the effect of six sigma in decision makings and quality control of the KAIA. The aim is also to find out the relationship of Six Sigma on an information system used by KAIA. We have used the qualitative research method (semi-structured interview method) with the target population of five employees working at KAIA. Qualitative data was collected from participants through transcribed, audio-recorded and codes. Thematic analysis was carried out in order to obtain the study result. Our study finds that there is a significant effect of Six Sigma in streamlining of all the processes of KAIA, which contributed towards the improvement of the quality and providing better control. We found that the KAIA applies KPIs to measure the decision makin, empowering the decision makers or managers. We have also reflected on the role of Six Sigma towards the effective performance of individuals in finance, customer support, and internal business process and team development.
Hydroelastic effects during the fast lifting of a disc from a water surface – CORRIGENDUM

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ANALISIS READINESS SISTEM INFORMASI KEPEGAWAIAN

Computer and Internet Study Center Unipdu is developing a Personnel Management Information System in accordance with the current situation, therefore it is necessary to do a Readiness Analysis on the Personnel Management Information System before it is implemented, this is intended to measure the readiness of staff in implementing the system. This research was conducted using the STOPE Framework approach which only focused on the level of user readiness, namely the Unipdu Jombang Staffing Administration Bureau.&#x0D; The results of data processing obtained from the distribution of questionnaires to staff and lecturers at Uiversitas Pesantren Tinggi Darul Ulum, were obtained that from five domains there were 2 (two) domains that received readiness scores at level 3 (ready) on scale 4, namely People, Environment, while Strategy domains. Technology, and Organization get value of readiness at level 4 (very ready) on a scale of 4.&#x0D; Overall or at the level of the STOPE framework, Uiversitas Pesantren Tinggi Darul Ulum is ranked 3 (ready) to implement the Personnel Management Information System. But there are still some weaknesses at the level of subdomains and sub-subdomains that must get attention and improvement in implementing the Personnel Management Information System.
AUTOMATIC OBJECT EXTRACTION FROM HIGH RESOLUTION AERIAL IMAGERY WITH SIMPLE LINEAR ITERATIVE CLUSTERING AND CONVOLUTIONAL NEURAL NETWORKS

Abstract. Recent advances in machine learning techniques for image classification have led to the development of robust approaches to both object detection and extraction. Traditional CNN architectures, such as LeNet, AlexNet and CaffeNet, usually use as input images of fixed sizes taken from objects and attempt to assign labels to those images. Another possible approach is the Fast Region-based CNN (or Fast R-CNN), which works by using two models: (i) a Region Proposal Network (RPN) which generates a set of potential Regions of Interest (RoI) in the image; and (ii) a traditional CNN which assigns labels to the proposed RoI. As an alternative, this study proposes an approach to automatic object extraction from aerial images similar to the Fast R-CNN architecture, the main difference being the use of the Simple Linear Iterative Clustering (SLIC) algorithm instead of an RPN to generate the RoI. The dataset used is composed of high-resolution aerial images and the following classes were considered: house, sport court, hangar, building, swimming pool, tree, and street/road. The proposed method can generate RoI with different sizes by running a multi-scale SLIC approach. The overall accuracy obtained for object detection was 89% and the major advantage is that the proposed method is capable of semantic segmentation by assigning a label to each selected RoI. Some of the problems encountered are related to object proximity, in which different instances appeared merged in the results.
SIMD Implementation of the Aho-Corasick Algorithm using Intel AVX2

The Aho-Corasick (AC) algorithm is a multiple pattern exact string-matching algorithm proposed by Alfred V. Aho and Margaret J. Corasick. It is used to locate all occurrences of a finite set of patterns within an input text simultaneously. The AC algorithm is in the heart of many applications including digital forensics such as digital signatures demonstrating the authenticity of a digital message or document, full text search (utility programs such as grep, awk and sed of Unix systems), information retrieval (biological sequence analysis and gene identification), intrusion detection systems (IDS) in computer networks like SNORT, web filtering, spam filters, and antimalware solutions (virus scanner). In this paper we present a vectorized version of the AC algorithm designed with the use of packed instructions based on the Intel streaming SIMD (Single Instruction Multiple Data) extensions AVX2 (Advanced Vector Extensions 2.0) technology. This paper shows that the vectorized AC algorithm reduces significantly the time matching process comparing to the implementation of the original AC algorithm.
Intellectual Contribution of Specialized Thesauruses to Cognitive Technologies

AbstractThe research is devoted to problems of perception of information in training, science, critical situations in the context of cognitive technologies.To consider semantics of subject domains when using cognitive technologies is one of problems of the digital environment.This problem is offered to be solved by attraction of specialized subject thesauruses.It is noted that during a digital era the role of specialized thesauruses as bases for ontology data presentation increases in information systems.On the basis of thesauruses it is easy to create ontology of a situation and to use it as model of data for cognitive agents. Keywordsthesaurus, ontology of situation, subject domain, semantic relations, cognitive technologyI.
Expert Judgment Z-Numbers as a Ranking Indicator for Hierarchical Fuzzy Logic System

&lt;p&gt;In this article, the researchers main contribution is to investigate three factors which may correlate in implementation of Expert Judgment Z-Numbers as new Fuzzy Logic Ranking Indicator such as: expert relevance judgment or score, the expert confidence and the level of expertise. The Expert Judgment Z-Numbers then will be an input to the Hierarchical Fuzzy Logic System of Domain Specific Text Retrieval, along with other indicators such as Ontology BM25 Score, Fabrication Rate, Shia Rate and Positive Rate of hadith document. The results showed, the proposed system, with the additional new indicator of Expert Judgment Z-Numbers, may improve the original BM25 ranking function, by yielding better results on 26 queries, on all evaluation metrics that are measured in this research such as P@10, %no measures and MAP, and has achieved better results in 28 queries on P@10 alone, compared to the BM25 original score, that only yield better results in 2 queries on all evaluation metrics, and also yield better results in 4 queries on the MAP alone. The results proved that the proposed system has a capability to utilize the expert confidence and their relevant judgment that are represented in Z-Number, as an indicator to optimize the existing ranking function system and has a potential for a further research to be conducted on these domains. For the future works, the researchers would like to enhance this research by including a variety of expert’s level confidence and their judgment, also a new calculation to represent the value of Z-Numbers.&lt;/p&gt;
Recursive AOP for Reversible Software

Innovative paradigm of reversible computing (RC) is on the focus of current computer science.The main idea of it is to enable the execution of programs not forward only (as it is now) but backwards as well.The set of possible applications of RC includes software debugging, faulttolerance increasing and quantum computing.In order to do reversible computing operational there is a need to code (manually) or to generate opposite "reverse" element for each "forward" element.However, this emerging paradigm still needs the methods for expressing opposite language elements in advance (during design-time).On the other hand, classic Aspect oriented paradigm (AOP) helps to deal with crosscutting concerns such as security, transactions etc. at design time, allows to separate development tasks by proficiency instead of by modules and to run weaved program at run-time.In this paper author present the idea to express opposite language elements by using recursive aspects.
Proposal and Evaluation of a Security Incident Response Training Method using Programming

Nowadays, there are various cyber-attacks in the world. In terms of dealing with cyber incident, there are many non-technical factors. Table Top Exercises are available for improving it but need some fund, time and trainers who conduct it more smoothly. So, in this work, we propose a security incident response training method using programming. It aims to improve some non-technical skills. Our proposal is actually executed with questionnaires.
Blockchain Enabled Secure Electronic Health Records System Storage with Attribute-Based Signature Scheme

Data privacy refers to ensuring that users keep control over access to information, whereas data accessibility refers to ensuring that information access is unconstrained. Conflicts between privacy and accessibility of data are natural to occur, and healthcare is a domain in which they are particularly relevant. In the present article, we discuss how blockchain technology, and smart contracts, could help in some typical scenarios related to data access, data management and data interoperability for the specific healthcare domain. We then propose the implementation of large-scale information architecture to access Electronic Health Records (EHRs) based on Smart Contracts as information mediators. Our main contribution is the framing of data privacy and accessibility issues in healthcare and the proposal of an integrated blockchain based architecture. This technology provides patients with comprehensive, immutable records, and access to EHRs free from service providers and treatment websites. In this paper, to guarantee the validity of EHRs encapsulated in blockchain, we present an attribute-based signature scheme with multiple authorities, in which a patient endorses a message according to the attribute while disclosing no information other than the evidence that he has attested to it. Furthermore, there are multiple authorities without a trusted single or central one to generate and distribute public/private keys of the patient, which avoids the escrow problem and conforms to the mode of distributed data storage in the blockchain. By sharing the secret pseudorandom function seeds among authorities, this protocol resists collusion attack out of N from N -1 corrupted authorities. Under the assumption of the computational bilinear Diffie-Hellman, we also formally demonstrate that, in terms of the unforgeability and perfect privacy of the attributesigner, this attribute-based signature scheme is secure in the random oracle model. The comparison shows the efficiency and properties between the proposed method and methods proposed in other studies.
Unsupervised Story Comprehension with Hierarchical Encoder-Decoder

Commonsense understanding is a long-term goal of natural language processing yet to be resolved. One standard testbed for commonsense understanding isStory Cloze Test (SCT) \citemostafazadeh2016corpus, In SCT, given a 4-sentences story, we are expected to select the proper ending out of two proposed candidates. The training set in SCT only contains unlabeled stories, previous works usually adopt the small labeled development data for training, which ignored the sufficient training data and, essentially, not reveal the commonsense reasoning procedure. In this paper, we propose an unsupervised sequence-to-sequence method for story reading comprehension, we only adopt the unlabeled story and directly model the context-target inference probability. We propose a loss-reweight training strategy for the seq-to-seq model to dynamically tuning the training process. Experimental results demonstrate the advantage of the proposed model and it achieves the comparable results with supervised methods on SCT.
Cloud computing development environment: from code logic to dataflow diagram

Cloud applications possess excellent flexibility and scalability; however, they often require developers to master various cloud computing techniques and build networked systems from scratch, which is difficult and complex for most developers.Recently, there has been considerable growth in development environments that support the partial or complete life cycle of cloud applications because of the growing demand for cloud applications and services from all sectors of the national economy.On the basis of the study of multiple mainstream development environments for cloud applications, we classify them into three categories: home-brewed development environments by users, spontaneously maintained standard components by communities, and managed development environments by public clouds.The third category (managed environments) is further divided into four generations: editor style, application-level, function-level, and integrated development environments.Through in-depth mining of a series of typical cases, we summarize the four major evolution trends of the development environments for cloud applications: virtualization, lightweight, intelligence, and visualization.Using our implemented development environment, named Cloud Studio,we explore possible forms and paradigms of development environments for cloud applications in the future,especially transformation in terms of core concept: from micro-level code logic to macro-level dataflow diagram.We believe that implementing Cloud Studio can effectively reduce requirements on cloud application developers,accelerate development progress, and promote formation of the core competence of Chinas cloud computing industry.
Effects of Capital Investment and Asset growth on Dividend Payout of Deposit Money Banks in Nigeria

Dividend policy refers to firm decision framework on payout pattern from corporate earnings, the quantum of such payment has largely conveyed acceptance/rejection information about such share in the Nigerian capital market.Firm's dividend policy has been identified as a major determinant of investors' attraction to a corporate share in the capital market.The main objective of this study is to evaluate the effects of dividend policy on corporate performance in selected Nigeria Deposit Money Banks (NDMBs).Purposive random sampling method was used to select seven out of the sixteen quoted NDMBs based on the size of their capital.Secondary data used were obtained from annual reports of sampled NDMBs and Nigerian Stock Exchange over a period of ten years (2008)(2009)(2010)(2011)(2012)(2013)(2014)(2015)(2016)(2017)(2018).The variables used in this study included Retained Earnings (RE), Earning Per Share (EPS), Dividend Per Share (DPS), Share Capital (SC), Dividend Payout (DPO), Asset growth (AG), Capital Investment (CI), Collected data were analyzed using both descriptive and inferential statistics such as the mean, Standard deviation and Panel regression.Panel regression was used to examine the effect of capital investment and asset growth on dividend payout of NDMBs.The results showed that RE, EPS and DPS had positive significant effect on DPO with coefficient value of 0.459; (p < 0.000), 0.003; (p < 0.003), 0.788; (p < 0.001) respectively with Adj.R2 = 0.311.Further result revealed that SC, RE, AG and CI have positive significant effect on DPO with coef.= 0.375; (p < 0.000), 2.198; (p < 0.002), 0.397; (p < 0.013) 1.658 (p < 0.002) respectively with Adj.R 2 = 0.379.The research concluded that capital investment and asset growth have significant effect on corporate performance of NDMBs.This study recommended that, managers should increase the level of capacity to improve profitability.They should be consistent with dividend payout ratio of the shareholder of NDMBs.
TEXT EXTRACTION FROM SKEWED TEXT LINES

The camera caught pictures containing content are having slanted text lines due to contortions by page and the view edge of camera.Hence it is vital while extracting text from the document, the text ought to be horizontal and words are inline appropriately.This proposed method introduces the strategy based on image processing techniques.Text extraction needs to play out some preprocessing tasks for better results.At the beginning, we find gray scale picture of given document image and then after executing the thresholding operation on text document image, we have to perform skew correction.This method, centers around the slope correction of text and we introduce a skew standardization approach which is depends on text skew correction algorithm with respect to x-axis.This method determines the exact text skew angle, and rotate image to correct skew efficiently.The method has been tested on different text document images and accomplishes over 97% accuracy.
Constructive spherical codes in 2k dimensions

We present a new approach to construct spherical codes in 2k dimensions, based on Hopf foliations. Using the fact that a sphere S2n−1 is foliated by manifolds $S_{\cos \eta }^{n - 1} \times S_{\sin \eta }^{n - 1}$, η ∈ [0,π/2], we distribute points in dimension 2k via a recursive algorithm from a basic construction in R4. Our procedure outperforms some current constructive methods in several smalldistance regimes and constitutes a compromise between optimality and computational effort.Detailed proofs of some results can be found in [1]
A Survey Paper on Blockchain Technology

Block Chain is mainly used for Cryptocurrency i.e Digital Currency which is used in verification and currency units of Fund transfer are independently operated without a central bank.Characteristics of block chain are explained in this paper.There are 4 types of characteristics such as Decentralization, Persistency, Anonymity, and Audit ability.A Consensus algorithm is used in blockchain.Key factors of blockchain are introduced such as Decentralized & distributed, Secure, Next smart contract, consensus & immutable.Here block structure and hierarchical layer explained in blockchain example: Data Layer, Network Layer, Consensus Layer, and Incentive Layer, contract Layer & application Layer., Also some features of blockchain are explained which are Public Distributed Ledger, mining, Proof of work and hash encryption.We have explained the types of blockchain viz.Public Blockchain, Private Block Chain & consortium.we have explained the applications of block chain.
Optimization of Scenarios for Collecting Information Streaming Wide-Area Network

We proposed to solve the problem of constructing optimal scenarios based on analysis of ontologies describe the subject area using presentation as a graph structure that enables it to evaluate the properties with appropriate metrics. This assessment of possible reduction of cost to build a collection of streaming media on the wide-area network. Shown urgency of solving such problems for the analysis of the budget process on thewide-area network. A modified search algorithm wide construction of optimal scenarios based on analysis of ontologies describe the subject area.
Witnessing Quantum Speedup through Mutual Information

Abstract Achieving dynamical speedup of evolution in an open quantum system plays a key role in many technological applications. However, how to detect quantum speedup is unclear. In this work, a method to witness quantum speedup through the measure of the mutual information is presented. It is shown that the speed of evolution of a quantum system, can be witnessed by calculating the mutual information variation, whose increase is a clear signature of dynamical speedup. The result is explained by considering the time evolution of two qubits under a one‐sided noisy channel, finding out that the mechanism for the quantum speedup is closely associated with the total exchange of information between the system and its environment, which can be expressed by the variation of mutual information. Quantitatively, the average speed of evolution is shown proportional to the average variation of the mutual information in an interval of time. The conclusion can not only explain why the quantum entanglement (or quantum coherence) and the classical correlation are neither necessary nor sufficient to speed up the quantum evolution, but also give a vital way of detecting quantum speedup in realistic environments.
Tangible user interface vocabulary to physically enhance space systems engineering tools

Tangible user interface brings back physical cognitive artifacts empowered with Internet of Things, and it will be a key instrument in Industry 4.0 to control software. Such artifacts are tangible mental representation of the context of a system being built with software tools. One of the challenges on applying tangible user interface to define an appropriated interaction is the lack of a vocabulary to prepare physical artifacts for being manipulated in digital representation. We present a tangible interaction vocabulary to physically enhance software tools, particularly used in space system concept studies. It is a practical application which indicates opportunities for research and challenges for the development of new products.