Reviewerly/exHarmony huggingface dataset:
Importance of Truncation Activation in Pre-Processing for Spatial and Jpeg Image Steganalysis

In recent years, research on the task of image steganalysis have increasingly tapped on the power of deep learning algorithms to build more complex and deeper CNN to improve detection performance of embedded secrets in both grayscale and/or JPEG images. This paper will present an empirical study on the effectiveness of having a truncation activation function at the pre-processing phase of a CNN-based stegan-alyzer. Specifically, with commonly-used high-pass filters and the truncation activation, a domain-specific steganalyzer can now be expanded for multi-domain steganalysis, i.e., for both spatial and JPEG domain steganalysis. In our experiments, we investigated two state-of-the-art CNN-based steganalyzers, namely the Yedroudj-Net and Dense-Net which were originally built solely for spatial and JPEG steganalysis respectively. The truncation activation in pre-processing has shown to improve detection rate and accelerate the training phase.
Informal Correspondence by Greek Learners of the Italian Language: A Study Based on Learner Corpora, Native Corpora and Textbooks

The aim of this study is to compare various lexical structures between a learner corpus of students with Italian as a foreign language and a reference monolingual Italian corpus. More specifically, the first is a learner corpus (part of a wider learner corpus) comprised of Greek students studying Italian as a foreign language while the second is the CWIC reference corpus of native Italian speakers. The research findings help us explain the role of didactic material in comprehending linguistic structures that are found in informal letters/emails and, moreover, they provide us valuable information regarding the use of the same lexical structures by native speakers.
Age and Gender Identification by Indian Multilingual Speech Sample

The human voice is contained sound made by a person utilizing the vocal cord for talking, singing, snickering, crying and yelling. It is especially a bit of human sound creation in which the vocal string is the fundamental sound source, which assumes a vital job in the discussion. The uses of discourse or voice preparing innovation assume a pivotal job in human PC communication. The framework enhances gender orientation ID, age amass characterization, age and feeling acknowledgment execution. The examination work utilizes new and effective techniques for highlight extraction of discourse or voice and grouping of standard strategy on the different sound datasets. Mel Frequency Cepstral Coefficients highlight extraction and determination is performed to locate an increasingly reasonable list of capabilities for building speaker models. The proposed framework utilizes Gaussian Mixture Model is a super vector for framework include choice and highlight displaying. Bolster Vector Machine arrangement and highlight coordinating procedure is utilized to order the component for various age bunches like youngster, adolescent, youthful, grown-up and higher ranking than increment the resultant execution and precision. The database is made utilizing the sound records for each age gathering of speaker and for every feeling as an info, performs highlight extraction and distinguishes the gender orientation, arrange age gathering, and perceive age and feeling.
Secure Management of Health Care Data using Cloud Computing

Electronic health record of patients are kept and managed by medical institutions in their databases. A patient who wants to receive treatment in different institutions needs to ask his already treated doctor to release his medical records. This process is time consuming and complex. To overcome these problems, we are proposing a solution that a government organization to maintain the medical records of the patients in the public cloud. The recognized medical institution, who got approval by the government, stores the medical records of the patients in the cloud. The medical records which are entered are encrypted using Advanced Encryption Standard (AES-256) algorithm. If a patient wants to receive treatment in different institution, that medical institution can get access to the records directly from the cloud. This will reduce the time delay for further treatment.
AN IMAGE STEGANOGRAPHY METHOD USING CANNY EDGE DETECTION FOR HIDING DATA IN IMAGE USING HSI COLOR SPACE

This paper presents a new technique for image steganography in a HSI color cover images, hiding the secret image/message in its edges of the carrier image using 2-bit LSB substitution for embedding the message/image.Edge mapping takes place by mapping image pixels with corresponding threshold selection.Higher the threshold then higher hiding capacity.In order to get the true edges, Canny Edge Detection technique has been used.Where, the amount of embedding is high compared to other techniques.Embedding plays an important role on selection of edges.The major benefit of using HSI color model is, it produces an image with significantly large file size, hence the user can hide large amount of secret image/message, Experimental results have shown that the proposed technique performs better and provides high embedding capacity than existing systems.
Characteristic Vectors in p/q-Channel Orthonormal Wavelet

Wavelet analysis is a newly rapidly developing subject in the late twentieth century.As a time-frequency analysis tool, wavelet analysis has many advantages over other time-frequency tools, such as in signal processing, image processing, speech processing, pattern recognition, quantum physics and other fields.Multiresolution analysis (MRA for short) is an important method for studying wavelet orthonormal wavelet bases with rational dilation 2. However, p/q-band wavelet is known to have advantages over 2-band wavelet in some aspects such as in signal processing and attracted more and more interest in recent years.But there are relatively less results for the case of p/q-band.This paper studies the orthonormal wavelet bases with rational dilation factor p/q based on multiresolution analysis by a polyphase decomposition technique.First, we gave the concept of Multiresolution analysis with rational dilation p/q and deduced an identity of the masks matrix.Also, a perfect reconstruction condition in terms of masks was presented.Further, we gave the refinement and wavelet matrices respectively and derived the characteristic roots and the corresponding orthonormal characteristic vectors of the wavelet matrix, and then a method with characteristic vectors was reduced to achieve the orthonormal wavelet bases with rational dilation factor p/q.In the end, an example is offered to verify this theory.
Bijak Menggunakan Media Sosial di Kalangan Pelajar Menurut Undang-Undang Nomor 19 Tahun 2016 Tentang Informasi dan Transaksi Elektronik

This article will discuss the dangers of hoax news and the legal impact of not being able to use social media wisely. The object of research in this study were students of junior high school and senior high school, based on the results of this study it was found that the students in the two schools were aware that the legal impact in terms of social media abuse, the impact of ITE and also the sanctions obtained if there is abuse of social media and hoax news that is not necessarily true. The basis of this research to take samples in the two schools is because, young people in a condition of thinking that is still very innocent, they would certainly be very easy to be told to spread the chain to other friends or others. We also have to realize that the ability of teenagers in studying and studying is still very minimal, especially if the hoax is boarded with certain interests that are packed with funny videos. At their young age, those who used to look for sensations. There are even some of our children who actually feel proud that their wrongdoing is the center of attention. Some even deliberately become perpetrators or perpetrators' profiles, because they want to be famous and feel great because they dare to make mistakes. The research method used is to use empirical research methods in which the data in this study are directly sought and examined in the field, empirical data analysis techniques, namely data obtained and arranged systematically and analyzed diagnostically and prescriptive in describing data in writing.
The Hybrid Method Of Video And 360° Image In Silat Learning/ Pendekatan Hibrid Video dan Imej 360° dalam Pembelajaran Silat

The hybrid method of video and 360° image in silat learning is the solution of video based learning issues on the minimum of interactive activities, lack of interaction between user and video and limited point of view. The aim of this research is to identify the effectiveness of silat learning courseware using the hybrid method of video and 360° image towards students' achievement in silat subject. This research is also done to identify the usability of silat learning courseware based on easy to learn, interface and satisfaction matrixes. Pre-test and post-test were conducted to measure students' achievement while usability questionnaire was used to measure the usability of silat learning courseware using the hybrid method of video and 360° image. The research found that silat learning courseware using the hybrid method of video and 360° image gave positive impact towards students' achievement in silat subject. The level of usability of the silat learning courseware is high with the mean score for all the matrixes is over 4.00. This research shows that the usage of multimedia courseware especially using the hybrid method of video and 360° image is useful for students, help them to increase their achievement in silat and encourage the usage of multimedia based learning in silat learning in Malaysia.
Development of Speaking System for Dumb People by Using Hand Gestures

It is very difficult for the voice impaired people to convey their messages to regular people since regular people are not trained on hand sign language, communication becomes very difficult. Therefore, I propose a speaking system that will enable dumb and deaf people to deliver their messages to normal people using hand gestures. This proposed system, use of hand gestures reading system equipped with gestures and flex sensors connected to each finger and connected to the RF Transmitter as an input along with the speaker unit. This system powered by a battery-powered circuitry to run it. Also, this system will contain different words and sentences that will help dumb people to deliver basic messages. Thesystem reads a dumb person’s hand gesture for different variations of hand movement. A processor constantly receives input sensor values and then processes it, then searches for matching message for the set of sensor values. Once it found in memory, the message is retrieved and is spoken out using text to speech processing through the interfaced speaker [1]. Data for this study was collected using structured open and closed questionnaires which were clearly administered to the sample used in my study. Data were analyzed using embedded C software. Finally, the findings were positive to my research objectives and it was expected to help the intended group in the society.
A Geographical Behavior-Based Point-of-Interest Recommendation

With the development of mobile devices, point-of-interest (POI) recommendation has received increasing attention. However, achieving accurate personalized POI recommendation is challenging due to the sparsity of the available data per user. In addition, previous efforts based on collaborative filtering mainly treat user behavior as a whole part in computing user similarity which sometimes cannot yield inferior performance. In this paper, we propose a novel two-phase algorithm to boost personalized POI recommendation performance by incorporating three unique characteristics in Location-Based Social Networks (LBSNs), namely, activity-based periodic behavior, time-aware multi-centers geographical behavior, and spatio-temporal relation. Experiments show that our proposed approach can further improve the recommendation accuracy and efficiency compared to previous works.
Design and Implementation of a Heterogeneous Safety Critical Computer

In recent years, the rapid development of high-speed railway in our country, followed by a rail safety problem has become the most important issue, as the core of the train operation control equipment, the development of the safety critical computer should be considered, firstly.At present, the mainstream safety critical computers all adopt the method of isomorphism, which can eliminate the multiple non-common fault of the same error structure, but can do nothing for some common fault.In this paper, a heterogeneous safety critical computer design and implementation method is proposed, which adopts the method of heterogeneous hardware and software, and analyzes its reliability and security by using fault tree model.
Factors influencing the Pursuit of IT Certifications

This quantitative study attempted to understand the factors that influence students at the large university in south-eastern United States to pursue Information Technology (IT) certification. The study investigated the problem of determining the factors that influence college students to pursue IT certification along with their academic degree and thereby increase their chances of gaining employment and increasing completion rates for the college resulting in increased state funding. This influence may lead to higher job placement after graduation resulting in an increase in completion rates for each college. The results showed that 91.7% of the respondents were inclined to take the certification exam if it means job security. Of all the participants, 88.4% indicated that they would take the certification exam if their future job requires it. A statistically significant difference was found between students’ rank and their perception on the statement “Schools prepare me for the certification exam.” A statistically significant difference was also found between students’ GPA and their perception on the statement “I am inclined to take the certification exam if I get reimbursed for my testing fee after passing the test.” The goal of the study was to provide information that can be used to improve students’ perceptions of the importance of certifications as well as to identify and address weaknesses in curriculum and/or interaction with students that can be addressed to improve students’ perceptions related to the importance of certificates. It also created a foundation for administrators and instructors in IT programs throughout the educational system to influence students in pursuing IT certification.
ANALISIS JABATAN, BEBAN KERJA DAN PERHITUNGAN KEBUTUHAN PEGAWAI DI PUSAT DATA DAN STATISTIK PENDIDIKAN DAN KEBUDAYAAN

This study examines the gaps between job analysis, workload analysis and employee requirement calculations that had been formulated previously in Center for Education and Culture Statistics and their implementation.This qualitative descriptive study applied purposeful sampling by vetting nominations from staffs and their superiors.Evidence was collected through work measurement method using work sampling technique to set time standard in the area of on-desk data validation task only.Meanwhile, volume counts and timings for other stages of works were arrived at by interviews with the experienced employees involved in the processes.Based on the results, it was revealed that the total workload was not proportional to the amount of existing employees.Therefore, job analysis, workload analysis and employee requirement calculations which belong to the organization should be evaluated and improved so they can be utilized as guides in more accurate manpower planning.Furthermore, it is necessary to recruit and select new employees.
An enhanced kernel weighted collaborative recommended system to alleviate sparsity

&lt;p&gt;User Reviews in the form of ratings giving an opportunity to judge the user interest on the available products and providing a chance to recommend new similar items to the customers. Personalized recommender techniques placing vital role in this grown ecommerce century to predict the users’ interest. Collaborative Filtering (CF) system is one of the widely used democratic recommender system where it completely rely on user ratings to provide recommendations for the users. In this paper, an enhanced Collaborative Filtering system is proposed using Kernel Weighted K-means Clustering (KWKC) approach using Radial basis Functions (RBF) for eliminate the Sparsity problem where lack of rating is the challenge of providing the accurate recommendation to the user. The proposed system having two phases of state transitions: Connected and Disconnected. During Connected state the form of transition will be ‘Recommended mode’ where the active user be given with the Predicted-recommended items. In Disconnected State the form of transition will be ‘Learning mode’ where the hybrid learning approach and user clusters will be used to define the similar user models. Disconnected State activities will be performed in hidden layer of RBF and Connected Sate activities will be performed in output Layer. Input Layer of RBF using original user Ratings. The proposed KWKC used to smoothen the sparse original rating matrix and define the similar user clusters. A benchmark comparative study also made with classical learning and prediction techniques in terms of accuracy and computational time. Experiential setup is made using MovieLens dataset.&lt;strong&gt;&lt;/strong&gt;&lt;/p&gt;
uniblock: Scoring and Filtering Corpus with Unicode Block Information

The preprocessing pipelines in Natural Language Processing usually involve a step of removing sentences consisted of illegal characters.The definition of illegal characters and the specific removal strategy depend on the task, language, domain, etc, which often lead to tiresome and repetitive scripting of rules.In this paper, we introduce a simple statistical method, uniblock 1 , to overcome this problem.For each sentence, uniblock generates a fixed-size feature vector using Unicode block information of the characters.A Gaussian mixture model is then estimated on some clean corpus using variational inference.The learned model can then be used to score sentences and filter corpus.We present experimental results on Sentiment Analysis, Language Modeling and Machine Translation, and show the simplicity and effectiveness of our method.
Extracting Product Aspect and Opinions from Reviews using Sentimental Analysis Algorithm

E-Commerce is a transaction of buying or selling something online. E-Commerce allows the customers to overcome the barriers of geographical and also allows them to purchase anytime and from anywhere and also consumers having the privilege to review positively or negatively on any product over the online. The consumer reviews are very important in knowing the product's aspect and feature and it is also very useful for the both other consumers and firm. So in the way of finding the product aspect ranking we have proposed the methodologies in which it extracts the reviews and preprocessing, finding the aspect identification of the product, classifying the positive, negative and neutral reviews of product by the sentiment classifier and also proposing the ranking algorithm used for the product ranking. In the data processing there are methods available in which it initially differentiates the meaning and meaningless words and also it removes the postfix from each word and then tokenize each sentence by removing the emotion icons and also space. In aspect identification we will identify the aspect from numerous reviews which is given by the consumer whether it is positive or negative and on its basic of high or low score we will give a ranking. The main aim of sentiment classifier is to classify the review. Prioritize the product as per the ranking and trigger the product details to user which has been currently updated in market. So that product can be well reached to the user.
Visual Exploration Research in the Field of Library and Information Based on Co-occurrence Analysis

Towards current modern society, our country’s library and information science is not only rapid development, but it also has won the favor of many researchers in more than a decade of development. Due to new technology elements and methods are widely used in the discipline of library and information science, cause society our country’s library and information science has entered a new stage with the development of information industry. This paper is based on the research theory of co-occurrence analysis, clustering co-occurrence analysis of references, social network co-occurrence analysis from researchers and research institutions of the field of library and information science, to have more precise and in depth research on the research focus of the library and information science, the authors themselves and the research institutions circumstances over the past few years. At the same time, the theory is used to analyze the effects and analysis of accurate data, to ensure that researchers can analyze the theory of library and information science for a long time.
Effects of Graded Reading on Middle School Students’ Reading Comprehension

Reading is a key and focus in the process of students&amp;rsquo; English learning (Chen &amp;amp; Jiang, 2010). Research shows that graded reading materials based on students&amp;rsquo; reading ability will help students to improve their reading level step by step (Stern &amp;amp; Dich, 2017). The paper here explores the effects on middle school students&amp;rsquo; reading comprehension so as to find whether graded reading can cultivate students&amp;rsquo; positive reading attitude and improve their reading level or not, using qualitative and quantitative research methods. Results reveal that because of the rich content and active class atmosphere, graded reading is conductive to arouse students&amp;rsquo; reading interest and cultivate their positive reading attitude, and the graded reading materials adapted to students&amp;rsquo; current reading ability can reduce students&amp;rsquo; anxiety, improve their reading level effectively as well. In conclusion, graded reading has certain guiding significance for middle school English reading teaching.
Blockchain based Secure Data Sharing and Sensitive Information Hiding in Cloud Storage Environment

Cloud computing is the dynamic delivery of Information Technology services over the network. With increased popularity of cloud services, data owners are motivated to store their huge amount of personal data on remote servers. Nevertheless, it brings many security issues since the data stored in cloud is vulnerable to attack. To ensure confidentiality, data owners encrypt their data before outsourcing to cloud. However, to achieve data sharing with sensitive information hiding with other users of cloud, encrypting the whole shared file achieves sensitive data hiding but the shared file will not be accessible to others. In cloud based storage systems like Electronic Health Record system, organization struggle to keep patient data secure, up-to-date, auditable and accessible to all parties together with hiding sensitive data. Existing system of sensitive information hiding made use of sanitizer for sanitizing the data file before uploading to cloud and third party auditor for auditing the integrity of the sensitive data stored a in cloud. This scheme requires to control important database that hire many people and design many process to prevent database from tampering. Unavoidably, all this requires great amount of money and time. Therefore in this paper, Blockchain technology is used in which third party organization can be replaced with distributed database where sensitive data is maintained securely in blocks, lock down by clever cryptography. Hence users can trust that the transactions can be executed exactly as the protocol commands removing the need for a third party thus ensuring integrity of the sensitive data.