Reviewerly/exHarmony huggingface dataset:
Duality in vector optimization with domination structures

In this paper, we study duality schemes for vector optimization problems with respect to variable domination structures by using an appropriate extension of the so-called Gerstewitz nonlinear scalarization function for dealing with weakly nondominated solutions.We apply these results to multiobjective location problems with variable domination structures.For nondominated solutions, we use a general scalarization function which is strictly monotone with respect to the domination structure.The strict monotonicity of our proposed function is also discussed.
International Monetary Fund – In Brief

Africa Research Bulletin: Economic, Financial and Technical SeriesVolume 56, Issue 11 p. 22796A-22797C Policy and Practice International Monetary Fund – In Brief First published: 02 January 2020 https://doi.org/10.1111/j.1467-6346.2019.09257.xRead the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat No abstract is available for this article. Volume56, Issue11January 2020Pages 22796A-22797C RelatedInformation
Design and Analysis of Improvised Genetic Algorithm with Particle Swarm Optimization for Code Smell Detection

Software development phase is very important in the Software Development Life Cycle. Software maintenance is a difficult process if code smells exist in the code. The poor design of code development is called code smells. The code smells are identified by various tools using various approaches. Many code smell approaches are rule based. The rule based approaches are based on trial and error method. Genetic Algorithm is a heuristic Algorithm by Darwin’s Theory. This paper presents a metric based code smell detection approach by Genetic Algorithm with particle swarm optimization based on Euclidean data distance. The Euclidean data distance gives best proximity value between two points. Our approach is evaluated on the three open source projects like JFreeChart v1.0.9, Log4J v1.2.1 and Xerces-J for identifying the eight types of code smells namely Functional Decomposition, Feature Envy, Blob, Long Parameter List, Spaghetti Code, Data Class, Lazy Class, Shotgun Surgery.
Immersion, interactivity and three-dimensionality: virtual reality documentation of media art installations

This research paper explores the possibilities for virtual reality (VR) documentation of media art installations. Based on an analysis of the characteristics of media art, and a survey of current documentation strategies, this paper investigates the viability of three-dimensional documentation. Four cross-disciplinary case studies are presented and analysed to demonstrate that VR documentation provides an immersive and richer reconstruction of a media art installation in three dimensions. In addition, the interactive components can be simulated within the VR environment, offering the possibility for curators and visitors to virtually re-experience the artwork. The case studies show that, although the creation of VR documentation can be costly and time-consuming, and currently requires a high-level of expertise, it can be a useful addition to established documentation strategies by providing essential information about the visual aspects of the artwork, its environment and the user’s multi-sensory experience.
A DNN-based Real-time Speech Recognition Control Game

A real-time speech recognition game based on DNN was designed in this paper. English numbers 1 and 2 from the English database were firstly extracted for training through DNN, and K-folds and committee votes were used to optimize the system to obtain a mature training model for distinguishing speech input. Speech recording function belonging to Python was used to realize real-time speech recording. The 8000 feature elements in the obtained speech were converted into 784 feature elements through STFT, and then the obtained training model is introduced for speech prediction. In this paper, a game based on binary control was designed, which used speech commands to control the movement of game objects to avoid obstacles, and to reflect the recognition accuracy through scoring. The real-time control of the game by speech was by designing a list and a multi-threaded control system. Finally, some ideas were put forward for optimizing this game, and also more application ideas based on speech control.
P‐4.7: Image Enhancement with Visual Saturation Preserving on Adaptive Histogram Model

A novel algorithm based on histogram equalization (HE) is proposed, which has saturation preservation and obtain more suitable visual perception. This method can solve the problem of visual perception saturation decrease and color distortion caused by conventional histogram methods. The results show excellent performance in LDR image enhancement.
Applying Compression Distance Metrics to Seismic Data in Support of Global Nuclear Explosion Monitoring.

We assessed the accuracy of the SLID output by comparing it to both the Akaike Information Criterion (AIC) and the judgments of expert seismic analysts. Our results indicate that SLID effectively identifies arrival times and provides analysts with useful information that can aid their analysis process.
Survey and optum on fair arbitration based dynamic cloud data

In this paper reviews are conducted on several researchers based on cloud data which is related to fair arbitration. It is study considerations on the dynamical info support and gainsay arbitration that are enhanced simultaneously. A study is also done that cloud clients has no extended physical information for trustworthiness and also their outsourced information will turn into testing assignment. Latest plans are also done in “provable information ownership” and “verifications of irretrievability” and they can also be found here. In these plans danger models can often be done with acceptance on pious cue administrator and contemplate with recognizing the deceitful cloud boffin association. The base for public auditing scheme under the data dynamic support for implementing the fairness arbitration with some potential disputes are provided. Study is also done on designing of index switcher which is used to obviate the stricture index for the usage of tag reckoning in schemes and handling of efficient info. Finally it is also enhanced and stated that the framework can reach out by executing the dynamic data which is reasonable for discretion gatherings for the future.
Evaluation and Analysis of English Teaching Effect based on Online and Offline Teaching Mode

The wide application and promotion of online and offline mixed teaching mode has led to changes in teaching concepts and teaching relations, such as changes in teaching and learning, teachers and students, offline classroom and online learning. Adjusting according to its changes to establish a scientific and effective teaching effect evaluation is an important measure to ensure the quality of online and offline mixed teaching. According to the characteristics of the course and the teaching practice, establish a comprehensive evaluation index, covering the whole process of online learning and offline classroom learning, pay attention to the record of the teaching process, and use the evaluation function of the teaching platform to feed back the teaching analysis in time, so as to ensure the teaching quality and effectively improve the learning effect of students.
Improved Integral Attack on HIGHT

HIGHT is a 64-bit block lightweight cipher, which adopts the ARX-based generalized Feistel network, and it accepts a 128-bit key. It is a standard encryption algorithm in South Korea and also is internationally standardized by ISO/IEC 18033-3. Therefore, many third-party cryptanalyses have been proposed against HIGHT. Impossible differential and integral attacks are applied to reduced-round HIGHT, and especially, the impossible differential attack causes the 27-round attack, which is the current best attack under the single-key setting. In this paper, we propose some improved integral attacks against HIGHT. We first apply the division property to HIGHT and find new 19-round integral characteristics, which are improved by two rounds compared with the previous best ones. We append 9-round key recovery to these characteristics and it enables us to attack 28-round HIGHT. Its time complexity is 2127.02 where 263 chosen plaintexts and 2117 memory are required. Moreover, we can attack 29-round HIGHT if the full codebook is used, where its time and memory complexities are 2126.07 and 2118, respectively. It improves by two rounds compared with the previous best attack.
Web Application Reinforcement via Efficient Systematic Analysis and Runtime Validation (ESARV)

Securing the data, a fundamental asset in an organization, against SQL Injection (SQLI), the most frequent attack in web applications, is vital. In SQLI, an attacker alters the structure of the actual query by injecting code via the input, and gaining access to the database. This paper proposes a new method for securing web applications against SQLI Attacks (SQLIAs). It contains two phases based on systematic analysis and runtime validation and uses our new technique for detection and prevention. At the static phase, our method removes user inputs from SQL queries and gathers as much information as possible, from static and dynamic queries in order to minimize the overhead at runtime. On the other hand, at the dynamic phase, the prepared information alongside our technique are used to check the validity of the runtime query. To facilitate the usage of our method and show our expectations in practice, ESARV was implemented. The empirical evaluations demonstrated in this paper, indicate that ESARV is efficient, accurate, effective, and also has no deployment requirements.
London's police start using live facial ID

The Metropolitan Police force is to deploy live facial recognition (LFR) systems on the streets of London for the first time.
Recognition of Two Connected Handwritten Digits Based on User-Defined Algorithm

The present paper proposes a model for recognizing unconstrained offline two connected handwritten Numeral digit strings. The Numeral strings are segmented and isolated numerals are obtained using sliding window approach with user defined algorithm. Hence the present paper proposes a segmentation-recognition system using the sliding window approach with user defined classifier. The sliding window is used for discovery the interconnection spots and optimal angle for cutting the adjacent digits at the same time and a minimum of 5 features are extracted from each isolated digit for classification. The exploratory outcomes directed on a recently gathered database of manually written digits and got promising results. The overall efficiency obtained using the proposed method is about 98.51%.
Use of the CFEA Lossless Data Compression Method in Transmitting Encrypted Modified Baptista Symmetric Chaotic Cryptosystem Data

To confirm applicability of a modified Baptista symmetric cryptosystem that is based on the chaotic dynamical system, the CFEA compression algorithm was used.Various ciphers that respond to the similar message input produced using Baptista symmetric cryptosystem.This modified Baptista type cryptosystem which is differ to the current practice of a symmetric cryptosystem is affected by the extension number of ciphertext.The CFEA compression algorithm is a lossless data compression algorithm.Although the domain used is greater than its defined range, yet the compression algorithm is supposed to have no problem of mapping elements.Our idea is to integrate the CFEA compression algorithm during data transmission, as a result, the number of ciphertexts was reduced from n ciphertext, where n∈Z^+ and n≥1, to only 2 ciphertexts.Instead of transmitting n ciphertext, only 2 ciphertexts were transmitted.Therefore, the purposed integrated algorithm has reduced the number of ciphertexts to be transmitted.
Summary of the 2019 International Conference on Software and System Processes (ICSSP 2019)

The 2019 International Conference on Software and System Processes (ICSSP 2019) was held in conjunction with the 41st International Conference on Software Engineering (ICSE 2019) in Montreal, Canada, May 25-26, 2019. ICSSP is a leading international forum for research on software and systems processesthe 2019 conference extended a sequence of predecessor conferences and workshops stretching back more than a decade. Although ICSSP has often been associated with ICSE and "in cooperation" with ACM, 2019 was the rst year that ICSSP was operated under a full co-located event agreement with ICSE and was fully sponsored by ACM and IEEE. ICSSP 2019 was organized, as usual, by the International Software and Systems Process Association.
New Opportunities for Education Quality Management Systems Improvement at Higher Education Institutions

This paper aims at researching new opportunities for improving education quality management systems at higher education institutions. Methods of analyzing data procured from documents and expert estimates were used in the research. The paper analyzes main disadvantages of the existing education quality management systems at higher education institutions and indicates the cause thereof. Issues of education quality improvement are explored, based on increasing the volume of feedback information in colleges’ electronic information and educational environment. The authors have developed tools for improving the volume and quality of feedback information received within the educational process; they provide a description of these tools. Quality map of the current educational process determines the criteria for evaluating the academic process based on feedback indicators, while monitoring of the current academic process helps procure these. Based on these tools, the model of an improved quality management system is provided, which applies the strategy of management by deviations, mechanisms of quick management and mid-term planning of developing the college’s educational system. Conditions ensuring successful implementation of the new mechanisms of education quality management system at a higher education institution are analyzed. Overall, the paper demonstrates new opportunities for developing the education quality management systems at a higher education institution based on applying feedbackbased monitoring of the current academic process.
Handwritten English Digit Recognition: A Machine Learning Formulation

Handwriting recognition is a challenging machine learning task. Handwritten Recognition (HR) systems have become commercially popular due to their potential applications. The challenges that arise due to wide range of variations in shape, structure ,size and individual writing style can be handled with the combination of a powerful feature extraction technique and an efficient classifier. In this paper, an attempt has been made to compare four different feature extraction cum classifier schemes for English handwritten numeral recognition in terms of computational time and accuracy of recognition. Observations show that single decision tree requires less computation time while SVM yields better accuracy.
A Korean sentence similarity calculation method based on sub-word level information

Sentence similarity is the key technology in text summary and machine translation. In this paper, a Korean sentence similarity calculation model based on local inference and difference analysis(Kor-Sim) is presented, Kor-Sim resolves the problem of insufficient capture of potential semantic information by traditional similarity calculation method.First, the Korean word vector can be obtained by using GlowVe, secondly the embedding vector can be effectively represented by BiLSTM, thirdly the semantic expression of the sentence is strengthened by local inference.Finally, by using difference analysis, the minute semantic differences between sentences can be captured by the interaction of sentences.The experimental results show that the Kor-Sim model can improve the accuracy of the similarity calculation in Korean sentences.
Formal Definition and Automatic Generation of Semantic Metrics: An Empirical Study on Bug Prediction

Welcome to the 21st IEEE International Working Conference on Source Code Analysis and Manipulation (SCAM 2021)! We hope that you enjoy the conference and that it will inspire you in your future research. Should you require a certificate of participation please contact Alexander Serebrenik, the general chair of SCAM, at a.serebrenik@tue.nl. For questions related to the Morressier virtual platform please contact support@morressier.com.
Picture Quality Analysis of Digital TV Signals

The picture quality of digital TV signals is subject to quite different effects and influences than that of analog TV signals. Whereas noise effects in analog TV signals manifest themselves directly as ‘snow’ in the picture, they initially only produce an increase in the channel bit error rate in digital television. Due to the error protection included in the signal, however, most of the bit errors can be repaired up to a certain limit and are thus not noticeable in the picture or the sound. If the transmission path for digital television is too noisy, the transmission breaks down abruptly (‘brick wall’ effect, also called ‘fall-off-the-cliff’).
The Minds and Mind-Sets of Younger and Older Investors Regarding Information: A Mind Genomics Cartography

We present a new way to understand the mind of the investor, moving away from technical models of investing to determining in simple terms of type of information that the person feels to be important when deciding to invest.The experiment identifies the relative importance of different types and sources of information to which a person might pay attention.The approach, Mind Genomics, combines simple messages or elements to create vignettes, concepts which present several different aspects of the news and information.The respondent rates these different combinations in terms of the degree to which the combination reflects the respondent.Mind Genomics reveals three clearly different mind-sets of individuals, from those who focus on the source of the information, those who focus on the story and information, and those who focus on what their friends are saying and their own insights from mathematical models.Mind Genomics presents a new approach to understanding decision making under uncertainty, based upon the nature of the mind of the person.
AI NLP Chatbot for HR and Employee Support

This task is planned for building up an online chatbot for leave the executives framework that is of significance to either an association. The Leave Management System (LMS) is an Intranet based application that can be gotten to all through the association or a predefined gathering/Dept. In this,we utilized Natural Language Processing(NLP) which is a part of Artificial Intelligence(AI).With NLP[1] the cooperation among PC and people are possible.This framework can be utilized to mechanize the work process of leave applications and their endorsements. The occasional crediting of leave is additionally automated.There are highlights like email notices, programmed endorsement of leave, report generators and so on in this framework. Leave Management application will lessen administrative work and keeps up record in progressively proficient manner. This framework will redesign the procedure of leave the board inside organization by sparing time and assets. The Leave Management System serves to workers can view leave adjusts, demand leaves, see past leave history and chief can affirm leave applications.The talk bot will give every one of the reactions what the client inquired
A Meditation for Early Childhood in Won Buddhism: Focusing on the Meditative Application of Spiritual Cultivation

A Meditation for Early Childhood in Won Buddhism: Focusing on the Meditative Application of Spiritual Cultivation - Won Buddhism;early childhood education;meditation for early childhood;spiritual cultivation;bell sound
Improving time-dependent deformation measurement

A new method for characterizing shape changes over time may improve nondestructive testing.
From the Editor

Welcome to the first issue of our first three-issue volume of Projections. We begin this issue with a truly exciting collaboration between a filmmaker (and scholar), Karen Pearlman, and a psychologist, James E. Cutting. Cutting and Pearlman analyze a number of formal features, including shot duration, across successive cuts of Pearlman’s 2016 short film, Woman with an Editing Bench. They find that the intuitive revisions that Pearlman made actually track a progression toward fractal structures – complex patterns that also happen to mark three central pulses of human existence (heartbeat, breathing, walking).
Disconnects of Specialized Mobile Digital Forensics within the Generalized Field of Digital Forensic Science

The study and practice of forensic science comprises many distinct areas that range from behavioral to biological to physical and to digital matters, and in each area forensic science is utilized to obtain evidence that will be admissible within the legal framework. This article focuses on inconsistencies within the accepted methodology of digital forensics when comparing the current best practices of mobile digital devices and traditional computer devices. Here the authors raise the awareness of this disconnect in methodology, and they posit that some specific tasks within the traditional best practices of digital forensic science are artifacts of ritual rather than based on scientific requirements.
Optimized Job Scheduling Algorithm in Cloud Computing Environment

There is a strong trend towards cloud technologies in the SME(Small and Medium Enterprises) sector, largely due to cost reduction, capex availability, and sometimes by collaboration features. Now a days so many startup companies are getting emerged and for them buying the resources for one time usage it becomes more expensive so they are preferring to using the cloud services(SLA) to overcome all this problems. In Cloud computing it essential to check weather a resource is available for allocating or not and allocating the jobs for the clients request is the big task. There are many job scheduling algorithm already proposed by the researchers to implement in cloud environment. After studying there algorithm we have came up with the most effective job scheduling algorithm. It is totally depending on Size and Arrival time of the job. By implementing our proposed algorithm we can obtain the better optimal solution to improve the overall performance of the system and gives more effective results compared to other job scheduling algorithms.