Reviewerly/exHarmony huggingface dataset:
A New Unlock System available in Offline Space-moving Game

The offline Space-moving game(space-moving game) is a game that escapes the space by interacting with various puzzle problems arranged in a given real space, and is popular worldwide. This paper proposes a new unlocking system to help design a space moving game. The unlock system use multiple smartphone devices and is based on a system that can estimate the placement between devices using a touch display. The user properly places devices using the given hints within the space-moving game and then transmits touch gesture data to the server to estimate the placement of the smartphones. The server estimates the placement status of each device, confirms that the placement status is correct, and advances the game. And we evaluate the performance of the unlock system based on the user’s input and determine the appropriate parameters to distinguish the unlock pattern. In addition, based on the results of this study, we proposed a scenario that can be used in space-moving games. It is expected that the new unlock system can be various scenarios and tricks in space-moving games.
Semi-supervised acoustic and language model training for English-isiZulu code-switched speech recognition

We present an analysis of semi-supervised acoustic and language model training for English-isiZulu code-switched (CS) ASR using soap opera speech. Approximately 11 hours of untranscribed multilingual speech was transcribed automatically using four bilingual CS transcription systems operating in English-isiZulu, English-isiXhosa, English-Setswana and English-Sesotho. These transcriptions were incorporated into the acoustic and language model training sets. Results showed that the TDNN-F acoustic models benefit from the additional semi-supervised data and that even better performance could be achieved by including additional CNN layers. Using these CNN-TDNN-F acoustic models, a first iteration of semi-supervised training achieved an absolute mixed-language WER reduction of 3.44%, and a further 2.18% after a second iteration. Although the languages in the untranscribed data were unknown, the best results were obtained when all automatically transcribed data was used for training and not just the utterances classified as English-isiZulu. Despite perplexity improvements, the semi-supervised language model was not able to improve the ASR performance.
A Machine Learning Model to Detect Speech and Reading Pathologies

This work addresses the problem of helping speech therapists in interpreting results of tachistoscopes. These are instruments widely employed to diagnose speech and reading disorders. Roughly speaking, they work as follows. During a session, some strings of letters, which may or not correspond to existing words, are displayed to the patient for an amount of time set by the therapist. Next, the patient is asked for typing the read string. From the machine learning point of view, this raise an interesting problem of analyzing the sets of input and output words to evaluate the presence of a pathology.
LibGuides: Instructional Services: Library Support for Online Instruction: Add ResearchPath to a Moodle Course

This guide provides information on how Idaho State University libraries supports faculty who teach online courses.
Supervised Hypernymy Detection in Spanish through Order Embeddings

This paper addresses the task of supervised hypernymy detection in Spanish through an order embedding and using pretrained word vectors as input. Although the task has been widely addressed in English, there is not much work in Spanish, and according to our knowledge there is not any available dataset for supervised hypernymy detection in Spanish. We built a supervised hypernymy dataset for Spanish from WordNet and corpus statistics information, with different versions according to the lexical intersection between its partitions: random and lexical split. We show the results of using the resulting dataset within an order embedding consuming pretrained word vectors as input. We show the ability of pretrained word vectors to transfer learning to unseen lexical units according to the results in the lexical split dataset. To finish, we study the results of giving additional information in training time, such as, cohyponym links and instances extracted through patterns.
Steganography : concealing texts within an image using least significant BIT technique on BMP image format / Farabi Aizat Mohd Aminnuddin

In security system, there is an information hiding technique used to conceal the information which is called steganography. Steganography is a technique used to hide covert messages without raising suspicion from the other recipients on the communication. Some of the steganography tools nowadays were using one color channel only to embed the secret messages in image. However, hiding secret messages into only one color channel can degrade the image quality which might be a reason for secret messages to be detected easily. In this research, secret messages were embedded into different color channels of the image. The objective of this research is to investigate the effects of various channel combinations and text file sizes on the quality of BMP image. Furthermore, this research also aims to evaluate the optimal picture quality of BMP image based on color channels and size of texts using the Peak Signal-to-Noise Ratio (PSNR) and Mean Squared Error (MSE) value. This research used Least Significant Bits (LSB) as the algorithm to embed the messages. The messages were in text file format (txt) and the image format used was in bitmap (BMP). There were seven scenarios tested regarding the color channel combination and size of text files. From the experimental results, it was found that the optimal channel and optimal size of text file that gave the highest (PSNR) value of the image is the Blue channel with 10KB size of text file. This research provides an insight to future researchers in understanding how the different size of text files hidden into variety of color channel combinations could result in the differences of image quality.
Factors affecting Cloud Computing adoption in Higher Learning Institutions in South Africa: A case of Matjhabeng TVET Colleges

Cloud Computing is one of the most important trends and newest area in the field of information technology in which resources (e.g. CPU and storage) can be leased and released by customers through the Internet in an on-demand basis. The adoption of Cloud Computing in Higher Learning Institution is a real opportunity. Although Cloud computing has gained popularity in the world especially in education and industry, but its impact in colleges is still unexplored. This exploratory qualitative research seeks to identify the factors affecting the adoption of Cloud Computing in South Africa, focusing on Matjhabeng TVET colleges. 35 IT stakeholders from two TVET colleges was interviewed. Thematic analysis was utilised to analase data. After data was analysed, the findings revealed that data security, lack of internet access and lack of infrastructure resources are key factors that affects Cloud computing adoption in Matjhabeng TVET colleges. This paper contributes to the literature on Cloud Computing adoption in Higher Learning Institutions in South Africa.
Kerala Akshaya Lottery Result (Wednesday Draw) | Kerala Lottery

Keralas Akshaya lottery is the ultimate winner Wednesday. We all know how hard it is to make ends meet thats why we in Kerala Lottery really love to ...
LibGuides: HWC Community Online Library Support: Home

The resources listed on this page have been compiled as a response to the transition to online classes during the COVID-19 closing of the College. Please keep in mind that some information links to non-CCC resources.
Construction of evaluation index system of home safety of empty nest elderly in community based on Delphi method

ObjectiveTo construct the evaluation index system of home safety of empty nest elderly in community, and to provide a reference for the analysis of potential home safety hazards and the formulation of safety intervention measures for the empty nest elderly in the community.MethodsFrom June 2018 to March 2019, based on literature review, Delphi expert consultation method was used to design the Expert Consultation Table for the Index System of home safety of the empty nest elderly in community, which included five first-level indicators (physiological status, home environment, psychological status, social support, safety knowledge, attitude and practice) and 52 second-level indicators. 15 experts in geriatric nursing, geriatrics and injury epidemiology were selected for two rounds of consultation.ResultsThe positive coefficients of experts in the first and second rounds were 83.3% and 100.0%, respectively; the authoritative coefficient of experts was 0.91; Kendall W coefficients in the first and second rounds were 0.246 and 0.356, respectively (P<0.01) ; after two rounds of inquiry, an evaluation index system of the home safety of empty nest elderly in community was established, which consisted of 5 first-level indicators and 52 second-level indicators. Among them, the mean value of the importance assignment of the first level index was 4.64-4.91, the standard deviation was 0.30-0.67, and the coefficient of variation was 0.06-0.14; the mean value of the importance assignment of the second-level index was 3.55-4.91, the standard deviation was 0.30-0.92, and the coefficient of variation was 0.06-0.20.ConclusionsThrough Delphi expert consultation method, the evaluation index system of home safety of empty nest elderly in community is scientific and reliable. It plays a strong guiding role in the evaluation of home safety of empty nest elderly.Key words: Delphi method; Safety; Community; Empty nest elderly; Home safety; Evaluation
Management and Security Analysis of Blockchain Shard Storage for Monitoring Data on the State of Smart Substations

The ubiquitous power Internet of Things (UPIoT) provides a crucial platform for energy reform.The key features of blockchain, namely, decentralization, openness, and transparency, are in line with the spirits of the UPIoT.By integrating blockchain and the UPIoT, this paper analyzes the security strategy of the state monitoring system (SMS) for smart substations, constructs a blockchain network for smart substations, and designs a shard storage and management for the proposed model.Unlike the existing plans, our plan shards the transaction data to be stored in the blockchain.The sharding both localizes the data storage system, and maintains the scalability of the security system.Security analysis shows that our plan keeps the information secure, reliable, and private, while reducing the storage occupation of each node.The research results promote the application of blockchain in smart substations.
On Reasoning about Access to Knowledge

Controlling access to knowledge plays a crucial role in many multi-agent systems. In- deed, it is related to different central aspects in interactions among agents such as privacy, security, and cooperation. In this paper, we propose a framework for dealing with access to knowledge that is based on the inference process in classical propositional logic: an agent has access to every piece of knowledge that can be derived from the available knowledge using the classical inference process. We first introduce a basic problem in which an agent has to hide pieces of knowledge, and we show that this problem can be solved through the computation of maximal consistent subsets. In the same way, we also propose a coun- terpart of the previous problem in which an agent has to share pieces of knowledge, and we show that this problem can be solved through the computation of minimal inconsis- tent subsets. Then, we propose a generalization of the previous problem where an agent has to share pieces of knowledge and hide at the same time others. In this context, we introduce several concepts that allow capturing interesting aspects. Finally, we propose a weight-based approach by associating integers with the pieces of knowledge that have to be shared or hidden.
Best Password Managers For Chrome, Android & iPhone

In this blog post, I will tell you what are the best password managers for Chrome, Android & iPhone. Password managers provide a great way for us to ...
OFFLINE SIGNATURE FORGERY DETECTION USING CONVOLUTIONAL NEURAL NETWORK

Handwritten Signature is considered as one of an integral part of security as it can be used for verification and authentication. Precision is not maintained every time a person does the signature, different parameters like signature strokes, length, pixel depth, continuity, etc may vary. Such Properties of the signature has to be checked before verification and authentication. So authenticating a fake signature becomes a challenging task.A Signature Capturing and Recognition System will take the image of the signature as an input and will train the image by extracting various features and will store it in the database then using Convolutional Neural Networks it will be compared with the original source signature and recognize whether it is the original signature. For feature extraction algorithms like Grayscale and Binarization are used. Once the image is captured, it will be converted into a black and white image and then processed. This system needs to be trained very well in order to have better results. Signatures samples will be fed into the system for identification tests in order to maintain high accuracy in the system.Feature extraction is an important stage where the features of each signature are captured using the CNN algorithm. The idea of this step is to identify each and every minor detail of a signature. Subsequently identifying the features and extracting them properly will lead to a better or more accurate verification. A centralized database of correct signatures of the customers will be available. This particular database can be used by a lot of systems that require customer information and signature information.
Establishment of the review criteria of blood cell analysis in children and its application in clinical diagnosis

ObjectiveTo establish the review criteria for children′s blood cell analysis, ensure the accuracy of blood cell analysis results, and ensure that pathological cells are not missed.MethodsA total of 1 420 samples of blood cell analysis were collected from outpatients and inpatients in Shanxi Children′s Hospital from May to June 2018, which were detected by SYSMEXXN-350 and XN-A1 automated blood cell analyzer. Blood smears weredouble-blindly examinedunder microscope. Among them, 463 were used for the establishment of review criteria, 586 were used for the verification and evaluation of review criteria, and 371 were used for the application effect study of review criteria. According tothe 41 rules recommended by ISLH, combining the characteristics of children′s physiology, pathology, disease and abnormal alarming information of hematology analyzer, the review criteria suitable for children′s blood cells were established.ResultsThrough the evaluation and optimization of 41 rules recommended by ISLH, 23 rules for reexamination of children′s blood cell analysis were formulated, with a reexamination rate of 25.09%, and a false positive rate was 14.16%. A total of 371 samples of patients with hematological diseases were selected for the application of the review criteria. The false negative rate was 2.96%, and no pathological cells were missed.ConclusionThe children′s blood cell review criteria established in this study has been verified and evaluated, which not only ensures the quality of the report, but also improves the work efficiency, and provides an important basis for the diagnosis and differential diagnosis of childhood leukemia, infectious mononucleosis and other hematological diseases.Key words: Review criteria; Hematology analyzer; Children; Hematologic disease
Knowledge graph of nursing information based on CiteSpaceV bibliometric analysis in China

ObjectiveTo explore the research hotspots and development frontier of nursing information in China by utilizing the visual data analysis software to explore the evolution of nursing information nearly 10 years and summarize the future trend as well as challenges so as to provide a scientific and objective reference for carrying out further research.MethodsWe implemented subject search in China National Knowledge Infrastructure (CNKI) , and analyzed the literatures on nursing information published in 2007 by using CiteSpaceV software, and drew a knowledge graph to comprehensively analyze and visually show the overall research overview, research hotspots and research trend.ResultsA total of 1 828 literatures were searched in CNKI and 1 488 effective literatures were included after screening. The literatures were imported into CiteSpaceV after transforming format. And then, we carried out the cluster analysis for high-frequency keywords to analyze the central idea of hotspot keywords. Results showed the research hotspots nearly 10 years included four aspects involving information technology integrating clinical nursing practice, design and optimization of nursing information management system, exploration of nursing information education system models, early investigation on nursing formation accomplishment and information ability and exploration of training model. The structure of burst term distribution revealed that researches on nursing information deepened and refined to data mining, emphasizing patients reported outcome, paying attention to continuous nursing which patients engaged and experienced as well as research trend at the present stage.ConclusionsResearch hotspots on nursing information has been formed in China. However, the relevance between cooperation and researches is still deficient in the field of nursing formation in China. In the future, these researches hotspots should be dug continually according to policies, technologies, education as well as scientific researches and researches should be carried out in specific projects.Key words: Bibliometrics; Nursing informatics; Research hotspots; Visual software; Knowledge graph
LibGuides: Study Skills for VCE: Home

Top Tips on how to make good use of your time, find the best information, and write clearly.
The Impact of Professional Associations on University Students' Professional Commitment: Based on the Questionnaire Survey in Beijing

College Students' professional commitment is the research field that has arisen in the past ten years. College students' professional commitment refers to college students' recognition of their major and willingness to show positive and diligent attitude and behavior. The level of commitment is not only related to the enthusiasm of College students, but also to their psychological status and the learning atmosphere of the school. As the carrier of students' interest-oriented participation in professional learning, the related activities and management means of professional associations are related to students' professional commitment. Therefore, selective support for professional associations will help universities not only to stabilize students' professional ownership, but also to improve students' learning enthusiasm and experience. It is one of the way to help university to expand the path of personnel training and enhance the quality of personnel training.
Research and Design of School Document Management System

The main purpose of this paper is to study and design the school document management system, which is convenient for unified management of school documents. Campus document management has been an important task for colleges and universities, through which all kinds of documents can be sorted out and consulted. Now the computer is playing a more and more important role in management. Computer management documents can save a lot of financial and human resources, which is conducive to document induction and sorting.
ANALYSIS TURN-TAKING USED BY PRINCESS POPPY AND BRANCH IN THE TROLLS MOVIE

This research about spoken language which is discussed in discourse analysis. In this research, researcher only focused on turn-taking, especially in the overlap and interruption section. Reseacher used quantitative methods and Guttman scale in processing data obtained from conversation in a movie called Trolls. Researcher choose a movie because in general a movie always contains conversations as well as in that movie. In the movie, researcher only analyzed 2 characters, Princess Poppy and Branch. The purpose of this research was to determine how much turn-taking was used by Princess Poppy and Branch. The results of the analysis showed that the turn-taking by Princess Poppy was 157 while the Branch was 110. The researcher used a table to show the results based on the theory of turn-taking. We can see in table 1 and table 2 that the amount of overlap is more dominant than interruption. The result of the analysis showed frequency overlap Princess Poppy is 82% of the total 128 and interruption frequncy is 18% of the total 29 times. While in tabel 2 it shows that the number of overlap conducted by Branch was 81 with a frequency of 74% and 29 interruption with a frequency of 26%. Keywords: Discourse Analysis, Interruption, Overlap, Spoken Language, Turn-taking
The Cohesion of the Prologue on the Hunger Games Trilogy: A Discourse Analysis

Cohesion is designed to deal with words and phrases that generate a pattern of relations between lexical elements and structures to build an integral and logical text. The analysis of cohesion aims to connect central concepts to the context of writing intended to pursue standards of communication, writing styles, textuality, and a practice of discourse. Accordingly, this study analyzes the cohesion found in the Hunger Games Trilogy by Suzanne Collins. The method of this research is a discourse analysis focusing on Systematic Functional Linguistics (SFL) developed by M.A.K. Halliday. Based on the analysis, the prologue of The Hunger Games and Catching Fire novels can be described in the terms of field, tenor, and mode creating the contextual parameter. The text of the novels is written and is clearly detached, explicit, planned and integrated. While links were observed as characters and places were repeatedly written. The conclusion can be drawn that the two novels aim to tell a story. Furthermore, the texts do not instruct the reader on what to do but rather, it tells what the characters of the story did, are doing, or will do. The novels also implore the reader to read further beyond the prologue and to the main story.
EIRA funded commission for NEtPark: Reciprocity

I'm creating a participative mixed reality artwork for NETPark in Chalkwell Park, Essex. Its based on the trees in the park and the Mixed reality sculpture will be partly created over time by the public participating in the process.The research themes explored are:1. How and to what extent can digital apps increase the time people spend outdoors? Howdoes using the AR change the way we perceive our surroundings?2. Is it possible to develop an AR app with user-generated or user-enhanced content thatwould gradually develop and encourage repeated use?3. The collaborative process between artists and technologists. How could we narrow the gapbetween the different ways artists and specialists work?