Reviewerly/exHarmony huggingface dataset:
ICSSD 2019 Preface

The 3 rd International Conference on Science and Sustainable Development (ICSSD 2019) was held between 6 th and 8 th May, 2019 at the Covenant University Center for Research and Innovation Development (CUCRID). The conference was hosted by the Department of Physics, Covenant University, Ota, Ogun State, Nigeria and supported by Covenant University and some individuals. The conference had impactful speakers and eighteen (18) parallel sessions. The keynote speaker was His Excellency, Minister of Science and Technology, Dr. Ogbonnaya Onu ably represented by the Director General, Energy Commission of Nigeria, Prof. Eli Bala and the lead speech was delivered by Professor Christine Amory, from Sorbonne Universite, Paris. The Vice-Chancellor, Covenant University, Prof. AAA Atayero graced the occasion and made a presentation on Sustainable Development Goals. The plenary speakers were Professor Timothy Mosaku and Dr. Agaptus Nwozor. Science, technology, research and innovation is about setting and achieving national goals by ourselves. It is doing things to the best of our ability for the growth and development of the people and the nation. It is about inspiring and empowering ourselves to look inwards to solve our problems. There is no goal we set for ourselves or for the nation which are impossible to achieve, particularly when the power of science and technology is employed to innovate and find solutions. The Department of Physics is happy to report success in the number of papers submitted and presented in ICSSD 2019, which are greater than those recorded in the past two series, ICSSD 2017 (https://www.rgnpublications.com/journals/index.php/jims/issue/view/62) and ICSSD 2018 (http://iopscience.iop.org/issue/1755-1315/173/1). The full papers were blinded peer reviewed by number of experts and revised by the authors prior to final acceptance. The current issue of Journal of Physics: Conference Series (JPCS) records the proceedings of ICSSD 2019, with seven (7) specialized topics. The topics are Renewable Energy and Built Environment, Information and Communication Technology/Atmospheric Physics, Geosciences, Radiation and Health/Life Sciences, Humanities and Social Sciences, Applied Sciences and Multidisciplinary, which will be useful for government and policy makers. We are glad to inform you that the next series of ICSSD will be hosted by the same body at the same place. More information will be available at the conference website (http://icssd2019.covenantuniversity.edu.ng) and communicated to your corresponding e-mails. List of Editors are available in this pdf.
IBADedup - Image Based Authentication and Deduplication Scheme in Cloud user Group

In recent times the cloud storage services are widely used for storage and processing. This has made the increasing demand for the mechanism or methodology which will provide the solution for reducing the use of redundant data, to achieve better space and bandwidth requirements of a storage service. Cloud computing enables all the remote workstations are light weighted where the operating system, services and user data are centralized in cloud servers and are shared by other users of the cloud. This sort of data sharing causes collusion attacks on an unsecure environment. Thus a secure protection scheme is needed to encrypt the private information. This may prove to be a problem because the distribution and storage of a key is difficult in a cloud with dynamic users. The proposed system provides distribution of key without the need for a secure communication channel using a group manager. This system also performs data De-duplication and prevents unauthorized access to a file using graphical passwords. Here the user selects an image to authenticate his identity. This image is split into 16 parts by the administrator; these 16 parts are generated randomly using a pseudo random generator technique. Then, the administrator holds onto 4 parts of the entire image to authenticate the user at time of login using Attribute Based Encryption. This helps the administrator authenticate the user and also prevents a revoked user from gaining access to a file. The Group Manager ensures the privacy of the files shared within a group by updating the user information to the database and by using RC6block cipher technique to encrypt the documents at time of storage. Thus when the user needs to download a file from a group a request is sent to the group manager and the decrypted file is then downloaded.
Evaluation of smartphone data using a reference architecture

The 21st century is continuously witnessing the growth and evolution of smartphone technology. Central to this evolution is the use of popular smartphone applications. The frequent use of smartphone applications by people for everyday activities allows for the creation and storage of large quantities of smartphone data. Smartphone data is susceptible to change and can be compromised by anti-forensic tools, malware or malicious users. It is, therefore, important to establish the authenticity of such data before forming any conclusions. The first step to establishing the authenticity of smartphone data is to acquire a better understanding of the expected behaviour of smartphone applications. This paper introduces a reference architecture for smartphone applications, which captures the architectural components and models the expected behaviour of smartphone applications. An experiment conducted to examine the smartphone data of Android's default messaging application indicates that the reference architecture can assist digital forensic professionals in identifying authentic smartphone data.
Development of Research Proposal Selection Based on Domain Ontology using K-Means Categorical Clustering

With the prompt improvement in research progress of various zones, selection of research proposals became a remarkable methodology in many research funding agencies and organizations. When a less number of research proposals are received, then it is ease to cluster the research proposals and the selection process became as non-problematic way. If a number of research proposals elevated, then the clustering and selecting the proposals became complicated. In current system, proposals grouping is done in manual-based or along with their similarities in subject disciplinaries which yield irrelevant results in some cases. The main goal of this research work is to develop an enhanced system in selection of research proposals based on Domain ontology, where the ontology acts as a searching criteria for the topics of research proposals. This proposed system will help to select the topics of research proposals in well-systematic way without the interference of manual progression. In this paper, an algorithm is proposed as Scikit-learn K-means Multiclass Document Clustering(SKMDC) to group each subject discipline according to their sub-topics and sub-domains. Here, the k-means clustering technique is implemented on categorical data to implement the clustering process. As, the categorical data are not able to applied directly in K-means clustering algorithm, the LabelEncoder method is implemented to encode the text data to numerical values and the dimensions of a dataset are reduced using Principal Component Analysis. This paper also overwhelms the weaknesses of k-means technique in specification of cluster number in initial stage. It is done through the determination of optimal number of clusters by using Elbow Curve method and it is cross-validated through Silhouette Score analysis.
The impact of error correction strategies toward student’s anxiety in speaking

This research aimed to find out (i) how the students’ anxiety in speaking after being corrected through teacher-correction strategy, and (ii) how the students’ anxiety after being corrected through peer-correction strategy. This study was a quantitative which used the one-shot case study design. Then, two sets of questionnaire were used as the research instruments. It was conducted in third grade of Senior High School 1 Belalau. The result shows that the students’ anxiety is lower after being corrected through teacher-correction strategy. Furthermore, the students anxiety is not lower after being corrected by peers. The findings suggested that The students preferred to be corrected more by the teachers than their peers.
Generation of quantum light in a photon-number superposition

We generate highly pure quantum states of light in a coherent superposition of zero, one, and two photons. Such states are generated by coherently driving electrically-controlled QD-microcavity devices with a resonant laser pulses.
SISTEM INFORMASI PERSEDIAAN BARANG KONSUMSI BERBASIS WEB PADA K-STORE PRIMKOKAS KRAKATAU JUNCTION

K-store primkokas krakatau junction is cooperative serving members of consumer goods and general consumers, in the execution of his work still has many drawbacks one of which is in sector inventory often experience delays in delivery, the goods are not in accordance with demand, resulting in inventory warehouses often have a shortage of goods. Purpose of the Inventory Information System Web-Based Consumption In K-Store Primkokas Krakatau Junction to timely delivery of goods, the goods in accordance with the goods received in the request, as well as to meet the stocks held in warehouses. The method used in the Inventory Information System Web-Based In K-Store Primkokas Krakatau Junction is the waterfall method is a sequential software development process, in which progress is seen as flowing steadily downwards (like a waterfall) through the phases of planning, modeling, implementation (construction), and testing. Inventory Information System Web-Based Consumption In K-Store Primkokas Krakatau Junction is one alternative that will assist employees in their work, particularly in meeting the existing inventory in K-Store Primkokas Krakatau Junction.
Research on Software Development Method Based on SOA Architecture

With the development of science and technology and the emergence of Web services, a new SOA architecture has been widely used, which can better complete software development.On this basis, this paper analyzes the software development method of SOA architecture.Firstly, the characteristics and development advantages of SOA architecture are briefly summarized; secondly, through specific application examples, specific SOA Software development methods are summarized; finally, the development of teaching management system based on SOA is introduced.
Extending Business Opportunities and Smart Services using Machine Learning

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.
Contributors

Till this point in the book, the author(s) have described applications specific to environment monitoring, associated challenges, and related success stories. This chapter takes a step further by discussing one of the most pressing issues: Neglect towards the environment which is now causing frequent occurrences of the natural disasters. To assist with the search-and-rescue missions that ensue post such disasters, teleoperated robots are being deployed to reach out to places where the humans would not be able to reach otherwise. However, in order to reach the full potential of autonomous robots, this chapter briefly discusses how the machine learning approaches discussed herewith can be adapted and applied to this setting.
"Understanding Forms and Models of Cloud Computing Technologies Adopted in the Selected Institutions in Southwestern Nigeria "

The study examined the forms and models of cloud computing technology adopted in the selected institutions from four states in Southwestern Nigeria. The three purposively selected institutions were Federal, State and Private owned making twelve institutions. However, the administered questionnaire was filled in by the ten (10) IT personnel, ten (10) lecturers and five (5) students from each of the selected institutions making 300 respondents. The questionnaire elicited information on the forms and models of cloud computing technology adopted and the extent of use of the adopted cloud computing technologies in the selected institutions. Secondary data were obtained from relevant literature. Data collected were analysed with descriptive and inferential statistics. The study concludes that the forms of cloud computing technology adopted by the selected institutions in Southwestern Nigeria are infrastructure-as-a-service (IaaS), software-as-a-service (SaaS) and platform-as-a-service (PaaS) while software-as-a-service (SaaS) is often used by the institutions. Also, the models of adopted cloud computing technology are private, public, hybrid and community cloud computing by the selected institutions in Southwestern Nigeria. The adopted forms and models of cloud computing technology are used for different business functions such as payroll, procurement, human resources, accounting and finance, CRM, application development, and project management.
Multiple Inheritance

Unlike some other object-oriented languages, C++ lets a class have more than one base class. This feature is known as multiple inheritance. Several other languages permit a single base class and introduce a variety of mechanisms for pseudo-inheritance, such as Java interfaces and Ruby mix-ins and modules. Multiple inheritance in C++ is a superset of all these other behaviors.
A Comparative Study of Fuzzy Neural Network and Multivariate Statistics in Discriminant Analysis

Objective: Find out the effect of Fuzzy Neural Network (FNN) and Bayes method in discriminant analysis.Methods: Fuzzy Neural Network (ANN) and Bayes Method were used to discriminate and diagnose 250 cases of abdominal pain in nine diseases.Results: Fuzzy neural network (FNN) is superior to Bayes method in discriminating accuracy.1.
Comparison of the Effect of Lecture and Self-Centered Learning on the Creativity of Nursing Students

Objectives: Creativity is considered as the base of educational evolution.Creativity can increase awareness and ability as an important factor in students .To determine and compassion of two education Program of verbal training and self-centered study on the creativity of nursing students.Method: This semi experimental study was conducted on 80 second-semester students at nursing college in Kerman, Iran.Students were selected through available sampling.Before and after educational intervention, the students' level of creativity was assessed with questionnaires and data were analyzed with statisticalanalytical tests and SPSS software.Results: A paired t-test revealed that there was no significant difference in the score of creativity before and after the lecture educational method(p-value<0/36).The level of creativity in the self-centered learning group was significantly higher than that of students in the verbal training group(p<0/000). Conclusions:The present study suggests a significant difference between self-directed learning and lecture groups so that a Significant increase in the score of creativity was observed in the self-centered learning group and the score of creativity is higher in the self-directed learning than in the verbal method of learning.
Caching Strategies

Nowadays, most web apps run without offline capabilities. They depend almost totally on a server. We can observe this when, from our browser in a web app, we get disconnected and the dinosaur game appears onscreen. This is how Google Chrome tells us we are offline (Figure 4-1).
Extracting the video content by utilizing segmentation kits

The inspiration for removing the substance of data is the openness issue. An issue that is significantly increasingly important for dynamic interactive media information, which likewise must be looked and recovered. Its wealth and unpredictability recommends that there is far to go in removing video highlights, and the usage of increasingly reasonable and successful handling techniques is a significant objective to be accomplished.
Temporal sentence grounding in videos with fine-grained multimodal correlation

Videos have become a new way of communication among Internet users with the proliferation of sensor-rich mobile devices. Due to the redundant background information in video data, people usually spend much time browsing and analyzing video content. This necessity motivates us to investigate the temporal sentence grounding task in videos. Formally, given an untrimmed video and a natural language sentence query, the task is to identify the start and end points of the video segment in response to the given sentence query. With such a technique, people can quickly find specific content of interest in the video by providing a clear and concise text description, thereby improving users’ video browsing experience and search efficiency. Previous methods often formulate the temporal grounding task as a multimodal matching problem. Doing so ignores the important sentence details for grounding and neglects the important guiding role of sentences to compose and correlate video contents over time, causing limited temporal grounding accuracy. To solve the above problems, we first propose a multimodal co-attention mechanism to mine important semantic details for temporal grounding in the given query and finely construct the semantic correlation between each word in the sentence and the video content. On this basis, we then propose a semantic condition dynamic normalization mechanism to tightly compose the sentence-related video content over time, including a clip-level actionness prediction module for fine-grained temporal boundary adjustment, thus making the temporal grounding results in the video clearer, more flexible, and more accurate than usual. Experiments on public datasets also verify our effectiveness and superiority over the state-of-the-arts. Last but not least, we present our insights on future research directions that deserve further investigations in the areas of audio-enabled temporal grounding techniques, weakly supervised grounding problem formulation, and debiased temporal grounding dataset construction.
Editorial Announcement

Journal of Time Series AnalysisVolume 42, Issue 2 p. 139-139 Editorial Editorial Announcement Robert Taylor, Robert Taylor Editor-in-ChiefSearch for more papers by this author Robert Taylor, Robert Taylor Editor-in-ChiefSearch for more papers by this author First published: 27 December 2020 https://doi.org/10.1111/jtsa.12575Read 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 onFacebookTwitterLinked InRedditWechat No abstract is available for this article. Volume42, Issue2March 2021Pages 139-139 RelatedInformation
Securing Cloud Data by Using Multi Keyword Search System

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.
Using Language Experience Approach (LEA) and Talk Massage Symbol Visible (TMSV) Method in Learning of Speech Skill of Indonesia Students

Abstract The study was described using language experience approach (LEA) and talk massage symbol visible (TMSV) method in learning speech skill. The results of this study used a descriptive quantitative approach. The research was set at Elementary School, Gowa Regency of Indonesia. The data of this study was speech skills include linguistic and non-linguistic factors. The technique used in data collection is, 1) observation, 2) pre-test. Data analysis includes stages: 1) data collection, 2) data reduction, 3) data presentation, and 4) verification and conclusion. The conclusion of the results of the data analyst was as follows: a) Data obtained from the observation of students categorized above the average value of 75 as many as 20 students or 87%, while those who obtain scores below the average of 75 are 3 students or 13%. The results of these data indicated that the ability of students in speaking skill of learning very satisfying, b) Data obtained from inferential statistical test results obtained t count =22.94 and t table =2.074 obtained data t count &gt; t table or 22.94 &gt;2.074. It concluded that H o rejected and H 1 accepted. It means that the application of the TMSV method affect in learning of speech skill at Elementary School of Indonesia.
The Nature of Theorem Proving

This chapter discusses the nature of proof and theorem proving, and we discuss automated and interactive theorem provers. We discuss the nature of rigorous mathematical proofMathematical proof and formal mathematical proof.
Security Model

Dynamics 365 CE has a native security model that is based on users having various degrees of layered access to the application. This access is governed primarily using security roles assigned to users that refer to an access level with specific privileges. These privileges specify what a user can do on records normally relative to the owner of those records and can be influenced by the corresponding business unit they are part of.
Motion image restoration based on sparse representation and guided filter

When moving objects are present, current low-resolution blurring image reconstruction techniques with considerable noise do not perform well. This paper comes up with a new image reconstruction method based on K-SVD algorithm and guided filter technique. This method uses K-SVD to pre-process the image first and apply canny boundary detector to obtain clear boundaries as prior model, thus we can estimate blurring kernel. Last, we apply guided filter to reconstruct our image. We do the second and third step iteration to obtain clear images. This paper uses simulated degeneration and actual low-resolution blurring image for experiments and our result implies this method has good performance for reconstruction.