Reviewerly/exHarmony huggingface dataset:
Open-Cloud Computing Platform Design based on Virtually Dedicated Network and Container Interface

Background/ purpose: organization that execution handling foundation on the Definite heart use paten virtualization technique to extenuate expenditure. majority organization use hypervisor- foundation paten virtualization processing, which postulate hardware virtualization to support many I/O and Estate at the ground scale. prescript / statistic breakdown: hypervisor- foundation processing is delimited by wretched motion, which can be sankalp by using implant - foundation virtualization processing. However, check - foundation mechanism also has purport. It is stiff to build resilient implant - foundation mechanism, and Definite devolution execution relapse if the current implant mechanism interface is used. Epitome: To settle these case, this document uses SDN technique and Kubernetes, which is used as a implant orchestration method. further, mechanism vesiculation is mixed with CNI of Kubernetes and materially samarpan mechanism darkhast foundation on the Open mechanism Direction method command for SDN. In other sound, we have evolved a new CNI by remove the overlay mechanism and a pseudo viaduct used in the spot Kubernetes. The Different evolved CNIs are outright coalescent to the amphitryon mechanism for sublimate - execution mechanism manipulation. advance / experiment: The intercommunity of VDN and Kubernetes portion sublimate execution and waxen mechanism competence. We weigh the mechanism execution of the spot CNIs and the Different elevated CNI in this document, which report the excellence of the new CNI in terms of the premeditated mechanism flow capacity results.
POLITENESS STRATEGIES IN DELIVERING ULOS IN TOBA BATAK WEDDING CEREMONY

This study was aimed atinvestigating the politeness strategies used in delivering ulos in Toba Batak wedding ceremony. The research was conducted by using descriptive qualitative research to analyze and identify the politeness strategies used in delivering ulos in Toba Batak wedding ceremony.The data were taken from the conversation of Toba Batak wedding ceremony of Omry Retno Simangunsong, S.Sos &amp; Triana Puspita Sari Br. Hutabarat, Amd.Keb (21th September 2019), that were held in Wisma Tiberias located at Jl. Pematang Siantar Kecamatan Lubuk Pakam. The findings of the study showed that three politeness strategies found during delivering ulos in Toba Batak wedding ceremony, namely: Bald on Record, Positive Politeness and Negative Politeness, specifically, 15 (60%) for Bald on Record Strategy, 9 (36%) for Positive Politeness, 1 (4%) for Negative Politeness. Off Record was not found during delivering ulos in Toba Batak wedding ceremony. The most dominant types of politeness strategies in delivering ulos in Toba Batak wedding ceremony were Bald on Record.Toba Batak speakers seldom applied negative politeness to avoid social distance or awkwardness in the situation. In Toba Batak wedding ceremony, to utter some speech acts, bride’s kin and bridegroom’ kin use some address forms as symbol of honor
Implementasi Metode Kriptografi Advanced Encryption Standard (AES) untuk Proteksi Pesan Audio

This study is to solve the problem Cryptographic techniques used to protect and maintain the confidentiality of audio messages by changing audio messages into audio messages that cannot be played by doing the encryption process and can be played back after the audio message is decrypted. To protect audio messages, it is used in the process of encrypting and decrypting audio messages using the Advanced Encryption Standard (AES) method. The Advanced Encryption Standard (AES) uses symmetric key block passwords with varying key sizes of 128 bits, 192 bits, and 256 bits. The Advanced Encryption Standard (AES) method used is 128 bit key size and there are 10 rounds in the process of encryption and decryption. Audio messages that have been encrypted using the Advanced Encryption Standard (AES) method cannot be played by parties who do not know the key to encrypt and decrypt the audio message. Audio messages are protected and protected from irresponsible parties who want to damage or just listen to the audio message.
Development of personalized online systems for web search, recommendations, and e-commerce

Personalized online systems for Web search, news recommendation, and e-commerce are developed. The process of personalization of online systems consists of three main steps: determining a user's needs, classifying products or services, and matching the user's needs with suitable products or services. A multi-feature based method to automatically classify Web pages into categories of topics hierarchically representing the Web pages is proposed. An approach to modeling and quantifying a user's interests and preferences using the user's Web navigational data is presented. The approach is based on the premise that frequently visiting certain types of content or Web sites indicates that the user is interested in related content or retrieving information from those sites. A personalized search system utilizing a Web user's interest, preference and search context models is developed. A Web user's interest and preference models are constructed and updated by analyzing the user's navigational data and automatically classifying Web pages. A user's search context model is used to determine how the user's interest and preference models impact on his or her search behavior. An algorithm to re-rank search results generated by a conventional search engine is designed to provide a personalized Web search service. A hybrid recommender system of personalized recommendation of news on the Web is developed. Based on the similarities between Web pages and users' models of interest and preference, the Web pages are recommended to the users who are likely interested in the related topics. Moreover, the technique of collaborative filtering is employed, which aims to choose the trusted users and incorporate machine intelligence combined with human efforts. Once trusted users are determined, their behavior on the Web is considered as the manual recommendation part of the system. A method of classifying Web customers for planning customized e-marketing is proposed. The proposed e-marketing approach can be divided into four steps: determining a customer's general interest model, ascertaining a customer's local browsing model, classifying Web customers, and designing a personalized marketing and promotion plan for e-commerce based on the customer classification. Various experiments are carried out to demonstrate the effectiveness of the proposed approaches and systems.
Design and Develop Automated Voting System

Voting system is a tool for managing the complete process of the election with the use of technology. It will record the information of the candidates, voters and administrator. Commission on Election is an organization where in-charge in conducting the election process. Also, they are accountable for evaluating the qualifications of the candidates and assigned officers who serve as the electoral board who will proclaim the winner/s. The researcher applied the System Development Life Cycle in designing and developing the automated voting system using the development platform such as MySQL which serves as the database wherein it stores the data of election; Visual Basic 6.0 serves as the programming editor and Local Area Network (LAN), a network connection. The system was tested and implemented during the Student Supreme Council and Student Body Organization election in the year 2012 and 2013 applying the two level of security which is in the form of access code generated by the system and exported data from the registrar office as the basis and filters the qualified voters. During the testing and implementation, most voters from the agriculture found out that the system is less convenient compared to BSIT students who believed that the system is the most suitable method of voting. Regarding security, BS Agriculture students also think that the system is less secured, whereas the BS Fisheries voters emphasized that the system provides the high level of protection. In this manner, voting system addresses the problems encountered every election and designed a friendly-user interface for all kinds of users.
Trajectory Analysis on Spherical Self-Organizing Maps With Application to Gesture Recognition

In this work, a new approach to gesture recognition using the properties of Spherical Self- Organizing Map (SSOM) is investigated. Bounded mapping of data onto a SSOM creates not only a powerful tool for visualization but also for modeling spatiotemporal information of gesture data. The SSOM allows for the automated decomposition of a variety of gestures into a set of distinct postures. The decomposition naturally organizes this set into a spatial map that preserves associations between postures, upon which we formalize the notion of a gesture as a trajectory through learned posture space. Trajectories from different gestures may share postures. However, the path traversed through posture space is relatively unique. Different variations of posture transitions occurring within a gesture trajectory are used to classify new unknown gestures. Four mechanisms for detecting the occurrence of a trajectory of an unknown gesture are proposed and evaluated on two data sets involving both hand gestures (public sign language database) and full body gestures (Microsoft Kinect database collected in-house) showing the effectiveness of the proposed approach.
A Cluster-Based Browsing Model For QoS-Aware Web Service Selection

In the last decade, selecting suitable web services based on users’ requirements has become one of the major subjects in the web service domain. Any research works have been done - either based on functional requirements, or focusing more on Quality of Service (QoS) - based selection. We believe that searching is not the only way to implement the selection. Selection could also be done by browsing, or by a combination of searching and browsing. In this thesis, we propose a browsing method based on the Scatter/Gather model, which helps users gain a better understanding of the QoS value distribution of the web services and locate their desired services. Because the Scatter/Gather model uses cluster analysis techniques and web service QoS data is best represented as a vector of intervals, or more generically a vector of symbolic data, we apply for symbolic clustering algorithm and implement different variations of the Scatter/Gather model. Through our experiments on both synthetic and real datasets, we identify the most efficient ( based on the processing time) and effective implementations.
Medical Image Authentication by SWT and SVD

The proposed paper work is implemented using Stationary Wavelet Transformation (SWT) with Singular Value Decomposition (SVD).Even though, there are many other transformations, the Stationary Wavelet Transformation method is chosen for its shift invariance property. The designed method has three steps; the first step is the decomposing of the Medical image into sub-bands using SWT to find the value of sub band and as a second step is to apply SVD, third step will combine both the images with scaling factor. The experiments were conducted over gray scale of MRI and CT Medical images. The statistics of proposed method indicates that imperceptibility of Watermarked Medical images have a Peak Signal to Noise Ratio (PSNR) value of 50 DB for medical images. The robustness is ensured by having Correlation Coefficient (CC) of 1 for the retrieved watermark images. Security for the watermark is extended by encrypting the watermark with chaotic sequence.
Airborne LiDAR

This data has been used in many existing inventions and even in many new inventions. This paper consists of a review of the current state of LiDAR technology and covers issues related to both data capturing and processing. In this paper, a discussion on different types of LiDAR sensors including LiDAR for autonomous vehicles was also done. It also explains existing data techniques and also gives a view of CNN (Convolutional Neural Networks). This paper also discusses the autonomous LiDAR technique in detail. The paper also discusses the future scope of technology.
Comments on &amp;quot;Spatial Signature of Solar Forcing over the North Atlantic Summer Climate in the Past Millennium&amp;quot;

The study of Maria Pyrina et al., investigate the spatial signature of solar forcing over the North Atlantic summer climate in the past millennium, which is barely involved in previous works of solar forcing influence.This study proposed three very important questions in their introductions: (1) how the solar forcing interact with the summer surface climate and atmosphere circulation?(2) how is the solar signal transferred to surface?And (3) how do different methods (correlation, regression, composite) condition the understanding of the solar effect?These three questions show the focus and significant of this study.However, there's no conclusive answer in in their following text.Below I describe some concerns/points that the authors may tackle.
Programming and Operational Semantics

Programming and Operational Semantics AYORINDE, Ibiyinka Temilola Abstract Programming is the act of writing meaningful instructions for the computer to perform specific tasks. Different languages can be used to write programs but each language has its syntax and semantics. The syntax helps to understand the grammar of the language while the semantics deals with the meaning of grammatically correct programs. Formal semantics is a tool in computer science that demonstrates how to use semantics for validating prototype implementations of programming languages, for verifying analyses used in more advanced implementations of programming languages and for verifying useful program properties including information about execution time. Operational semantics (OS) is a branch of formal semantics that deals with how the effect of a computation is produced. Hence, this article demonstrates the application of operational semantics by showing how a valid program is being interpreted as sequences of computational steps. The understanding of this concept will make it easy for any programmer to understand the execution of his/her program thereby making programming an interesting tool to the learners. Full Text: PDF DOI: 10.15640/jcsit.v8n1a3
New chaotic cryptosystem for the image encryption

Recent researches of image encryption algorithms have been increasingly based on chaotic systems. This paper, a new image encryption scheme which employs. The idea is to associate the Hénon attractor and the logistics map, for the construction of a new secret key cryptosystem. We generate values through of the logistics map that will be added to the pixels of the plaintext image. This result modulo 256 will be permuted to another position of the encrypted image. The calculation of this permutation is deducted from the Hénon attractor, which is 2-dimensional, in order to have a significantly increasing the resistance to attacks. The proposed system has the advantage of bigger key space (about 180 bits); high security analysis such as key space analysis, statistical analysis and sensitivity analysis were carried out. The results demonstrate that the proposed system is highly efficient and a robust system.
Online Cafe - Food Ordering Management System: An Innovative Pilot Study

Catering Service for food/Online Cafe (OC) is the software designed to order food online for Customers. The prime objective of the project is to provide smart and effective service to the end-users. It is a web-based application that is built using JAVA with a user-friendly interface for customers to browse the catalogue and order the food online. The shop keepers can include as many products as possible and also categorize them as they prioritize, manage orders and process the payments. The clients have to make their own choice and choose their preferred mode of payment and wait for the delivery of their food items. The OC system processes all sorts of information related to the order type options. It facilitates an end to end solution in online food ordering. By adopting this new approach, the information can be accessed with just a single click.The study focuses on a web application in JAVA for online food ordering system and provides an option for the restaurant owners to update their food menu as well.This study also focuses on establishing effective connectivity between the front end (shopkeeper and customer) and back-end (admin) using JAVA database connectivity with MySQL.
Texture classification using gene expression programming

In computer vision, segmentation refers to the process of subdividing a digital image into constituent regions with homogeneity in some image characteristics. Image segmentation is considered as a pre-processing step for object recognition. The problem of segmentation, being one of the most difficult tasks in image processing, gets more complicated in the presence of random textures in the image. This paper focuses on texture classification, which is defined as supervised texture segmentation with prior knowledge of textures in the image. We investigate a classification method using Gene Expression Programming (GEP). It is shown that GEP is capable of evolving accurate classifiers using simple arithmetic operations and direct pixel values without employing complicated feature extraction algorithms. It is also shown that the accuracy of classification is related to the fact that GEP can detect the regularities of texture patterns. As part of this project, we implemented a Photoshop plug-in that uses the evolved classifiers to identify and select target textures in digital images.
Privacy Preserving in LBS resilient to Location Injection Attacks

Location-based services have become indispensable in people's life with expeditious development of technology. Location-based services(LBS) refers to the services provided by the LBS servers with regards to area and point of interest. Alternatively, the LBS means getting the right information at the right place in time. Protecting user location privacy is the most challenging factor in LBS. This survey aims to present various mechanisms in preserving the user's location privacy and proposes a mechanism for preserving the privacy of user location and query against the location injection attacks. We will be discussing credibility based k- anonymity mechanism for preserving the location of the user and homomorphic encryption for preserving the query of the user resilient location injection attacks in this paper.
Comments on &amp;quot;Remember the past: A comparison of time-adaptive training schemes for non-homogeneous regression&amp;quot;

This work investigates the effect of different types of training periods on predictive performance of postprocessing models at different types of locations (plain, alpine foreland, alpine).The presentation is concise, the aims of the work and the used methods are presented in a clear way.Especially the graphical illustration of the different types of training periods and of the situations in the considered data situations is very helpful.This comparative study is highly relevant for applications.The approaches for constructing training data presented here are all discussed in individual papers and applied to quite different situations, even based on different types of postprocessing models.Therefore, it is quite interesting to have a unified study of the effects of these training periods under the same conditions.
Image Classification Search System based on Deep Learning Method

Image classification is to distinguish different types of images based on image information. It is an important basic issue in computer vision, and is also the fundamental for image detection, image segmentation, object tracking, and behavior analysis. Deep learning is a new field in machine learning research. Its motivation is to simulate the neural network of the human brain for analytical learning. Like the human brain, deep learning can interpret the data of images, sounds, and texts. The system is based on the Caffe deep learning framework. Firstly, the data set is trained and analyzed, and a model based on deep learning network is built to obtain the image feature information and corresponding data classification. Then the target image is expanded based on the bvlc-imagenet training set model, and finally achieve "search an image with an image" web application.
K-12 Students’ Academic Status: A Data Warehouse Architecture Framework

The K-12 Basic Education Program in the Philippine is now on its full swing status. However, as it moves to the peak of its full implementation, the number of drop-outs, retention, and migration students is increasing. With this in mind, the researcher came across with designing data warehouse and data mining architecture in the analysis of drop-out, retention, and migration patterns of students. Academic performance is the main factor in the students’ drop-out, retention, and migration. The proposed architecture would be sufficient for the analysis of the K-12 students’ academic status. It served as a foundation in the conduct of a thorough study on students’ drop-out, retention, and migration patterns.
Multiresolution analysis for classification and compression

This thesis contains the application of the DWT [Discrete Wavelet Transform] for classification and compression of biomedical images (mammograms, small bowel and retinal). The shift-invariant DWT and several textural descriptors were used to provide scale, translation and semi-rotational (RST) invariant features. The features were classified using LDA with the leave one out method to combat small database sizes. The small bowel images achieved a classification rate of 75% and is the first reported work in the area, the retinal images achieved 81% classification rate and the mammograms achieved a rate of 59%. The success of the system is a [sic] due to the RST-invariant features which accounted for various sized masses, different camera angles and textural differences between pathologies. Any failures are a result of overlapping tissues which masked the pathologies. JPEG 2000 was the wavelet-based compressor used and it was compared to JPEG-LS, LJPEG, adaptive Huffman, arithmetic and LZW codes. For 12bpp mammgrams, JPEG 2000 offered the best compression (CR of 9.319 and R of 1.288bpp), but suffered from slow compression speeds (501.3 Ksymbols/s). Compression was investigated solely for mammograms since they were the only images stored in raw formats.
Iranian EFL Learners' Attitudes Toward Language Learning Through Social Media During the Covid-19 Pandemic

The current research aimed at exploring Iranian English as a foreign language (EFL) learners' attitudes and perceptions toward learning a language by means of social media during the outbreak of the Covid-19 pandemic. To do so, 850 participants were selected voluntarily based on inclusion criteria from 1000 language learners enrolling in the general English courses at some specific institutions and under some tutors. To collect the intended data, a researcher-made questionnaire, devised based on the available literature to scrutinize their attitude using 5-point Likert scale items, was administered by means of social media to the participants. Out of the collected questionnaires, 850 were included for the analysis in this research. The results revealed that EFL learners consider social media as a significant element of their learning a foreign language, especially throughout the Covid-19 pandemic. The findings of the present research can pave the way for the inclusion of social media as an indispensable instrument of nurturing collaboration and communication among learners even after the pandemic eases. Keywords: EFL learners, social media, the covid-19 pandemic, attitudes and perceptions, language learning DOI: 10.7176/NMMC/96-03 Publication date: May 31 st 2021