Reviewerly/exHarmony huggingface dataset:
Affinity based VM Migration: Taxonomy and Challenges

using virtualization many Virtual Machines can run parallel on the same Host. For dynamic resource management, virtual machines can be migrated from residing host to a different. But before starting the migration some questions need to be answered like when to start the virtual machine migration, which VM to migrated and where? The Virtual Machine migration methods on the Virtual cloud environment has already been researched at length, but very few studies have focused on affinity-relations among virtual machines during migration, hence the key objective of this research paper, is to explore the Affinity-aware VM migration in detail and propose Affinity-Aware VM migration algorithms for migration of a group of VMs with affinity to a destination Host with less capacity than required. This paper also provides a brief review of several virtual machine migration techniques.
Generating Personalized Dialogues Based on Conversation Log Summarization

In recent years, the number of elderly people living at home (requiring nursing care or living alone) has been increasing due to the aging of society. As the elderly stay at home for long periods of time, their connection with the local community becomes less and less, and loneliness becomes a serious problem. In our research group, we are developing a system that allows elderly people to interact with the virtual agent. The purpose of this paper is to develop a method for generating personalized dialogue in order to realize continuous and empathetic dialogue. As an approach, morphological analysis and sentiment analysis are performed on the dialogue content (text) obtained from speech recognition. Then, we present a new method for generating personalized dialogues based on related conversation log summarization. In this way, it is promising to realize smarter personalized dialogues that do not rely on manual creation.
A new model for assessing the impact of cloud computing on customer retention

Cloud computing is one of the popular technologies that changes customer-business interaction. Consequently, the main purpose of this paper is to study the influence of cloud computing on customer retention. SMART-PLS 3.0 was employed to examine the data. The examination was done in three stages to compute PLS model criteria containing an assessment of reliability and validity, assessment of structural model, and assessment of overall model using GOF. The result showed that cloud computing has a direct effect on customer retention, therefore, the provided hypotheses are supported. The results also indicated that cost has a significant positive influence on customer retention. Virtualisation, agility, scalability and elasticity have significant and positive influence on customer retention. The results will help the organisations to improve their performance using cloud services.
Regression-based software fault prediction using biogeography-based optimisation (R-BBO)

It is difficult to build model of accurate estimate due to the inherent uncertainty and similarity among different categories in development projects. In this paper, fault prediction is done using biogeography-based optimisation (BBO) with the goal of recognising the faults in software systems in more efficient way. Our methodology includes four steps as follows: 1) firstly pre-processing was employed to remove redundant data; 2) secondly, relevant features are extracted using principal component analysis; 3) thirdly, fault-prediction system based on the optimisation of regression parameter using biogeography-based optimisation (R-BBO) was proposed. The experiment employed over different fault related datasets using ten-fold cross validation. The results showed that proposed prediction system (R-BBO) yield an overall accuracy of 85.4% (predicted over five datasets) which is higher than the prediction using genetic algorithm (R-GA). The proposed R-BBO was effective in terms of classification accuracy, precision and recall.
A novel coverless text information hiding method based on double-tags and twice-send

Recently, coverless text information hiding (CTIH) attracts the attention of an increasing number of researchers because of the high security. However, there are still many problems to be solved, for example the efficiency of retrieving and the hiding capacity. In the existing CTIH methods, the secret information is embedded to be one carrier with one label to ensure the success rate of information hiding. In this paper, we propose a novel CTIH method based on the double-tags and twice-send, in which the double tags in a text are achieved by designing the odd-even adjudgement, and a reverse index is created firstly to promote the efficiency of retrieving, then transform characters into binary numbers, which will be employed as the location tags to determine the secret information in the received texts. Finally, we improve the success rate of information hiding by sending the document twice. The experimental results show that the proposed method makes an improvement in the hiding capacity and efficiency compared with existing text CIH algorithms.
Cybersecurity Assessments

The purpose of this study is to review the existing cybersecurity assessments and practices used by technology companies to protect their assets from potential harm and damage. Today, the software systems have thousands of vulnerabilities and, when breached, can cost the companies millions of dollars. A clear path for identifying risks, detecting threats, and responding to them is imperative. However, it is not easy to quantify cybersecurity risks as the networks and networks of networks are becoming complicated and, so most risk assessments use relevant parameters to calculate a risk score. If this score is high, it has a high impact on the critical systems. This knowledge helps hi-tech companies such as finance, banking, healthcare, defense, and supply-chain sectors to prioritize their actions and investments effectively. This study examines the risk assessment strategies and steps that companies adopt across the software development lifecycle (SDLC) to stay ahead of cybersecurity risks.
Complex Pattern Detection with Entropy

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.
Semi-active control for seismic isolation device using acceleration response spectrum derived from seismic motion observed at the nearest monitoring station

In recent years, semi-active control has been attracting attention as a control method for seismic isolation devices from the viewpoint of safety and energy consumption, but most of them use sensors on the seismic isolation devices to switch attenuation, so it is caused by an earthquake. It is difficult to deal with the beginning of shaking. Therefore, in this study, we proposed a semi-active control method that switches the damping of the variable damping damper using the acceleration response spectrum calculated from the seismic motion data at nearby stations. As a result, it was shown that not only can we expect the response to the beginning of the Earthquake shaking, which was difficult to respond to until now, but also the maximum response and the convergence time of the Earthquake shaking can be improved by predicting and controlling the response from the seismic motion before arrival.
Breaking Free from the Interpreter

Up until now we have used the interpreter to write our code. As each line is entered, the Python program interprets it and the processed line's output is displayed onscreen. From now on we will use IDLE.
Prototype of stress microscope using photoelastic method

Polarizing microscopes visualize the optical retardation of light transmitted through a substance and show the anisotropy of the refractive index of that. However, it is difficult to quantitatively evaluate the anisotropy of the refractive index field. Therefore, in this study, by combining a high-speed camera with a laser photoelastic method using a photoelastic modulator (PEM), we acquire a quantitative optical retardation field together with a microscopic image. To verify the performance of the apparatus, the stress distribution at the edge of a semicircular notch in a glass plate was measured under a 20 N tensile load. Then, it was compared with the FEM analysis value. As a result, stresses of about 3 MPa were distributed at the notch edge in both cases, and the results were generally consistent with each other. However, there is a room for improvement such as a stress being detected where the optical retardation should be zero.
Read my lips: Belfast startup's solution to hacking

A Belfast-based startup is using automated lip-reading to make user authentication systems more resistant to spoofing attacks.
Knowledge Based Access Control a Model for Security and Privacy in the Big Data

The most popular features of Big Data revolve around the so-called “3 V” criterion: Volume, Variety and Velocity. Big Data is based on the massive collection and in-depth analysis of personal data, with a view to profiling, or even marketing and commercialization, thus violating citizens’ privacy and the security of their data. In this article we discuss security and privacy solutions in the context of Big Data. We then focus on access control and present our new model called Knowledge-based Access Control (KBAC); this strengthens the access control already deployed in the target company (e.g., based on “RBAC” role or “ABAC” attributes for example) by adding a semantic access control layer. KBAC offers thinner access control, tailored to Big Data, with effective protection against intrusion attempts and unauthorized data inferences.
Vital Measurement Based on Body Contact with Care Robots

For staffs of nursing institutes, taking vital signals of residents is one of the most time-consuming tasks, and it is expected to be supported by robots. In this study, we propose a system that uses a robot arm mounted on the top of the head of an autonomous mobile robot to bring the robot's vital measurement device closer to the patient. The robot calculates the three-dimensional position of the patient's hand from depth sensors and image analysis, and lowers the robot arm close to the hand. A blood oxygen saturation (SpO2) sensor and a pressure sensor are affixed to the gripping handle at the end of the robot arm, and measurements are taken while ensuring that the sensor is touching the finger. As an experiment for use in a facility, we had healthy adults to be taken vital signals in four different postures (standing, end sitting on a chair, end sitting on a wheelchair, and long sitting on a bed), and searched for conditions in which subjects could take measurements by simply holding out their hands in a comfortable posture.
Quantify and alleviate OAuth approach token system exploiting by conspiracy lattice

We exposed a flourishing structure of high process eminence supertendence services on face book that influence fundamental of encounter. Collusion networks accumulate OAuth get admission to tokens from colluding contributors and abuse them to provide fake likes or feedback to their individuals. We completed a complete size examine to apprehend how these collusion networks exploited popular 0.33-celebration face book programs with susceptible security settings to retrieve OAuth get admission to tokens. We infiltrated famous collusion networks the use of honeypots and identified more than one million colluding face book debts by way of 'draining' these collusion networks. This determines outcome for face book and associated through the process of different alleviations which terminates open authorisation to get expression maltreatment externally giving up function stage convinces by third party engineers.
Community Cloud Model for Infrastructure As-A-Service in Learning through Content Sharing

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.
Node Representations

Downstream ML tasks can exploit the low-dimensional node embeddings by using them as the inputs to traditional machine learning models. These node-level downstream tasks include node classification, node clustering, recommendation, link prediction, and visualization. In this chapter, we discuss node embedding techniques. These techniques are based on one of random walk, matrix factorization, or deep learning. Further, some algorithms learn representations in an unsupervised setting while others learn in a supervised setting. We finally present comparison of these algorithms according to their performance on downstream tasks.
A taxonomy of mobile learning based on a systematic review

This study seeks to deepen the understanding of existing mobile learning research, summarise the relevant knowledge and identify research gaps. This study is based on a systematic review of relevant studies conducted between 2009 and 2018; the pool of studies comprised 25 studies, representing a total of 1828 original publications. A taxonomy was proposed based on 13 taxonomies, which were grouped into five domains: bibliometric statistics, research purposes, demographics and context, methodologies and outcomes. The findings revealed the following: the number of articles published has increased over the last years, with significant contributions from Asia; most studies feature positive outcomes; the main focus is on learning effectiveness; the majority of the target sample comprises students, and the environment is hybrid, with a tendency to be informal; and mixed research methodologies are the common trend. The results also revealed a lack of current research in the field of strategies and frameworks.
A Survey of Classification Methods and Techniques for Improving Classification Performance

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.
The Development of a Blended Learning Model by using E-Book (BLME) on the Subject of Basic Programming

The researchers conducted direct observation at the State Polytechnic Creative Media PSDD Medan. The object of the research includes learning on the subject of Basic Programming. The researchers found several phenomena including: 1). The subject of Basic Programming is a subject in which the material guides students to think logically in solving problems through algorithms in the form of coding (instructions). 2). Learning set used the textbook. 3). Teaching and learning process was conducted conventionally. The lecturer delivered the material in the textbooks to the students, the conclusion of the material was written on the white board. 4). Tools used on the subject of the Basic Programming were the C ++ programming language. Based on the phenomenon, the researchers found several problems including: 1). Low skill and the students had not mastered the material that has not been achieved in learning the subject of basic programming. 2). Students did not respond when interacting in question and answer session, which impacted the learning process become non-interactive. 3). Independence and active role of students in learning the subject of basic programming had not been seen because learning was lecturer centered. 4). Learning model that was centered on the lecturer made the students unable to think creatively and solve new problem presented by the lecturer on the subject of basic programming. Based on the explanation above, in this research, the researchers developed a learning model used in learning the subject of Basic Programming that is a blended learning model using an e-book integrated with the Learning Management System (LMS).
Produkte: Vakuum in Forschung und Praxis 1/2019

Vakuum in Forschung und PraxisVolume 31, Issue 1 p. 10-10 Magazin Produkte: Vakuum in Forschung und Praxis 1/2019 First published: 20 February 2019 https://doi.org/10.1002/vipr.201970103AboutPDF 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. Volume31, Issue1February 2019Pages 10-10 RelatedInformation
Status of Histopathology Services In Ethiopia

Abstract Introduction/Objective Cancer is one of a great public health problem in developing countries like Ethiopia and scarcity of histopathology laboratory is another burden for diagnosis and follow up of cancer diseases. The main purpose of this study is to evaluate the accessibility of histopathology services in Ethiopia. Methods Cross sectional study design were used to analyze the status of histopathology services in Ethiopia. Results There are 13 histopathology laboratories in the nation and a survey was conducted at these institutions. Out of these 13 Histopathology services seven are located in the capital, Addis Ababa and six found out of the capital located in four different regions. About 40,239,100 habitants have no histopathology service around their catchment area. Conclusion There are very limited histopathology laboratories, as a result diagnosis and prevention of cancer diseases are inadequate throughout the country.
Measurements of fluid forces and wake velocities acting on 3-D body in the uniform flow

Robots that operate at disaster site have been proposed, but how to transport robots has not been discussed. To drop the robots with a parachute from an airplane, it is important to investigate the aerodynamics coefficient of the robots in the free-fall before the opening of the parachute. In this study, the aerodynamics forces, which worked on the robot and the velocities in the wake of the robot were measured by using the load cell and particle image velocimetry(PIV) in the uniform flow ranges from 0 to 22 m/s. As a result, the tangential aerodynamics forces were obtained by the change in the angle of four limbs of the robots.
Research and Development of Computer Control System for Production Line Test of Bone Microphone

research-article Research and Development of Computer Control System for Production Line Test of Bone Microphone Share on Author: Liyan Zhao Shandong Transport Vocational College, China Shandong Transport Vocational College, ChinaSearch about this author Authors Info & Claims AIAM2021: 2021 3rd International Conference on Artificial Intelligence and Advanced ManufactureOctober 2021 Pages 184–187https://doi.org/10.1145/3495018.3495050Online:14 March 2022Publication History 0citation0DownloadsMetricsTotal Citations0Total Downloads0Last 12 Months0Last 6 weeks0 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access
Distributed fusion algorithm based on maximum internal ellipsoid mechanism

In this paper, a Bar-Shalom Campo-based algorithm is presented to solve the approximate maximum ellipsoid in the cross region of covariance ellipsoid. An objective function that can be solved by linear matrix inequality is designed based on the rotation transformation of matrix. Compared with the classical covariance intersection fusion algorithm, it is less conservative. Moreover, the unknown cross-covariance is approximated as a linear matrix inequality constraint with Pearson correlation coefficient which is bounded. With the inequality constraint, the accuracy of fusion results can be improved. Finally, two simulation examples are given to verify the effectiveness of the proposed algorithm.
CSPS: catchy short passwords making offline and online attacks impossible

This paper proposes to address online and offline attacks to passwords without increasing users' efforts in choosing and memorising their passwords. In CSPS, a password consists of two parts, a user-chosen short password and a server-generated long password. The short password should be memorised and secured by its user while the long password be encrypted and stored on the server side. To keep the secret key for protecting the long password secure, an additional sever is introduced to store the secret key and provide encryption/decryption services. On top of balloon, CSPS integrates expensive hash with secure encryption. It is mathematically proved that computationally unbounded attackers cannot succeed in offline dictionary or brute-force attacks or a combination of offline and online attacks. The criteria of security are established, which quantifies the security. To our best knowledge, CSPS is the first technique to make security quantifiable in password authentication mechanisms.