Reviewerly/exHarmony huggingface dataset:
The Influence of Target Layout on Dragging Performance Based on Eye-Control Technique

Eye-control technique can achieve convenient and rapid real-time operation through the movement of the eyes and reduce unnecessary manual operations, which has been a hot topic in human-computer interaction research. Due to the layout determines the location orientation, organizational complexity, cognitive consistency, and predictive ability of the information display, the interface layout design affects the user’s perception of information intensity, complexity, and logic. The purpose of this study is to investigate the influence of target layout on dragging performance based on eye-control technique. We proposed a hypothesis that the target layout has a significant impact on dragging performance. The results indicate that there was no significant effect of target layout on dragging time and numbers, which did not support our hypothesis. The reason may be related to the setting of experimental conditions (e.g. lighting level and screen resolution). More affecting variables could be considered in future studies.
UTILIZING SMS AND STUDENT PORTALS: ACADEMIC GRADES VIEWING AND NOTIFICATION

Short Message Service (SMS) plays a significant role in people’s daily life. This study has successfully designed and developed a notification system to send the notifications directly to the parent mobile phones via SMS and thus help in making sure that the information is delivered to all interested parents or student. Successfully implementing this notification system that will provide a reliable and convenient intercommunication channel.
An Empirical Research on Mathematical Case Development in Mathematical Teaching in Liberal Arts College

In order to explore mathematics learning methods suitable for liberal arts students specially and the educational value of mathematics application cases developed by liberal arts students, an experiment of mathematics application case study was carried out in the first grade liberal arts undergraduate students. 205 mathematics application cases have been obtained, and case studies were used with the statistical summarization and analytical generalization methods. From 2009 to 2013, about 531 liberal arts freshmen in statistical course completed a total of 90 mathematics survey reports containing the university campus life (58 cases), professional related research (21 cases), social issues (11 cases) and so on. From 2014 to 2018, liberal arts students completed 115 mathematics application cases in Applied Probability and Statistics class which can be divided into 3 categories according to the degree of innovation: using mathematical knowledge to solve problems (79 cases), empirical survey (14 cases) and literature analysis (22 cases). The case topics selected by liberal arts students are all related to their own interests, and the innovative uses are for the vast majority. Conclusion: (i) writing a mathematics survey report is an appropriate way for students to apply mathematics; (ii) mathematics application is the fusion of interest and knowledge in probability and statistical area for liberal arts undergraduate students; (iii) the development process of mathematics application cases can demonstrate innovative thinking and application ability for liberal arts undergraduate students.
The use of Markov Chain method to determine spare transformer number and location

&lt;span lang="EN-US"&gt;The purpose of this study is to develop a method to determine spare transformer number and location. Using Markov Chain method, state transition model and steady state probability was used on each 500-kV substation in order to analyze the effect of spare number and location variation with the reliability changes. To give an actual result of the case study, calculation of spare transformer number and location on 500/150 kV transformers in Java Bali System was analyzed. The steady state probability results will vary depending on the number of spare transformer, these results can then be used to assess the spare transformer needed. The variation of spare transformer location can be used to analyze the best possible location of the spare in order to satisfy the reliability required. The methodology presented shows an integrated calculation for determining the spare transformer number and location.&lt;/span&gt;
Research on Answerer Recommending Method Based on Online Learning Community

Based on the recommendation of answerers in online learning community, this paper proposes a question answerer recommendation algorithm based on the Interest, specific-length and Attention. The matching degree between the answerer and the question is evaluated from three dimensions, and the appropriate answerer is recommended to the questioner according to the evaluation result. Finally, according to the data set design related experiments, the experimental results show that the proposed method in this paper is effective.
Exploring Edit Distance for Normalising Out-of-Vocabulary Malay Words on Social Media

Users interact using short-formed words and abbreviations and this results in a message full of noisy words that are not recognized by the system's knowledge. The aim of this research is to overcome the limitations that still bar the progression of normalizing Malay noisy words from social media platforms. The testing data gathered is 25,000; 15,000 Tweets from Twitter and 10,000 comments from Facebook respectively. Pre-processing steps were carried out to clean the entire dataset which consists of unique 179,786 words. 36,587 out-of-vocabulary (OOV) Malay terms were then extracted and checked against an in- vocabulary (IV) Malay corpus using the Levenshtein edit distance formula and character manipulation rules. The resultant output is 3,964 unique IV Malay words. Based on the results, the usage of edit distance and rules can be further improved to elevate the normalisation of the ever changing colloquial terms of the Malay language.
Blockchain as a new technology for development

Currently, there is a local digitalization, in this regard, Blockchain technology is becoming more popular. This technology is of interest to many industries in Europe and beyond. As nongym innovation in Informatics, blockchain becomes a global, cross-sectoral technology, which Pro-glaziruetsya, promotes growth of world economy over next several decades. Since early 1990s, experiments with blockchain technology have been carried out, but it became widespread only in 2008, after release of White Book, to be picked up by pseudonym Satoshi Nakamoto. The first known blockchain technology developed was Bitcoin protocol, which is also name of first widely used, decentralized cryptocurrency. The term blockchain is becoming more popular among population and is automatically associated with the block chain  and bitcoin platform. Blockchain is fast becoming publicly available, and yet technology remains difficult for many people to understand. The paper defines Blockchain technology from author's point of view. The main principles of technology are analyzed, structure of register is presented.  It describes types of records that blockchain uses for storage, such as transactions, smart contracts, digital signatures and certificates.
Design and development of a low cost mobile phone detector for detecting active mobile phones

In this paper, we design and develop a low cost mobile phone detector which can detect active mobile phones near its vicinity. At the instant it detects radio frequency (RF) transmission signals from a mobile phone, the detector sounds a buzzer as well as blink a light emitting diode (LED) indicating that it has detected an activated cell phone in its vicinity. Using this detector, it is possible to detect mobile phones used for unethical conducts, e.g., cheating during exams in an examination hall. Since the detector works even when the phone is in silent mode, it can be used to find a lost cell phone. Furthermore, this detector has the ability to distinguish the number of mobile phones active in its vicinity. To compare our detector with commercially available detectors today our detector delivers almost the same amount of performance accuracy at a much lower cost.
A vascular enhancement algorithm for endoscope image

Endoscopic image quality plays an important role in the diagnosis of early lesions and dysplasia. Therefore, a blood vessel enhancement algorithm based on spectral absorption characteristics of blood vessels is proposed in this paper. First of all, RGB channels are obtained from the color image and divided into the brightness layer with the high dynamic range and the detail layer with the detail image information through the guided filter. Then, the detail layer of each channel is adaptively enhanced based on SNR (signal noise ratio), and the brightness layer is stretched to improve the GB channel information and to reduce R channel information. Finally each channel is merged to generate an enhanced image. In this article, a large number of endoscopic images is applied to this algorithm and compared with Karl Stroz's Spectra B enhancement technology. This method performs better in image enhancements while using the Detail Variance-Background Variance index and the Weber contrast index to evaluate.
Online Enrollment Reservation System with SMS Notification Implementing Descriptive Analytics for Binan City Senior High School

The Online Enrolment Reservation System with SMS notification Implementing Descriptive Analytic was proposed in replacement of the Manual Enrolment System of the institution for it to have an organized flow of transaction and an ease of work especially to the administrators of Binan City Senior High School. As the enrollees increase every year, enrolment procedure becomes harder to deal, this also a big help to all enrolment staff, especially under the computer department because they are the one who are entitled to head and update the information in the database. Having this system helps the school in upgrading the enrolment process so as they meeting the qualities that we are trying to achieve. Today, the use of the technology has been an effective tool on improving such as kind of enrolment system.
An adaptive redundant reservation admission in virtual cloud environment

In cloud platforms, resource reservation service is an effective approach to providing desirable quality of service (QoS) for user applications. However, conventional reservation service might result in lower resource utilisation and higher rejection rate if it is excessively applied. In this paper, we proposed an adaptive redundant reservation strategy, which uses overlapping technique to implement reservation admission and enable resource providers dynamically determine the best redundant degree at runtime. By overlapping a new reservation with an existing one, a request whose reservation requirements can not be satisfied in a traditional way might be accepted. Also, by dynamically determining the best redundant degree, the proposed strategy can obtain optimal trade-offs between performance and reliability for cloud platforms. Experimental results show that the proposed reservation service can bring about remarkably higher resource utilisation and lower rejection rate when using redundant reservation service at the price of a slightly increasing of reservation violations.
How Much of the Internet Is Fake ? Turns Out, a Lot of It, Actually. - e-traces

How much of the internet is fake ? Studies generally suggest that, year after year, less than 60 percent of web traffic is human ; some years, according to some researchers, a healthy majority of…
VIKAS: A new virtual keyboard based simple and efficient text CAPTCHA verification scheme

Nowadays online transactions are becoming ubiquitous that must be protected from bots using different techniques, and CAPTCHA is one of them. Text-CAPTCHA preferred due to its simplicity amongst different types of CAPTCHAs. Text-CAPTCHA can be strengthened by adding some distortion to prevent bot-attacks but cause usability issues for humans. This results in multiple attempts by a user to gain access to the required service and may give frustration to the user. Hence, there is a need to design CAPTCHA which is easy for humans to recognise but difficult for bots. This paper proposes virtual keyboard-based simple and efficient text-CAPTCHA verification scheme (VIKAS) that makes CAPTCHA verification easy for humans but difficult for bots. VIKAS uses simple text-CAPTCHA and verifies the same using positions of the keys pressed by the user using an image-based virtual keyboard. VIKAS is sustainable against segmentation scheme, replay attacks and possible attacks with keyloggers.
Investigating text power in predicting semantic similarity

This article presents an empirical evaluation to investigate the distributional semantic power of abstract, body and full-text, as different text levels, in predicting the semantic similarity using a collection of open access articles from PubMed. The semantic similarity is measured based on two criteria namely, linear MeSH terms intersection and hierarchical MeSH terms distance. As such, a random sample of 200 queries and 20000 documents are selected from a test collection built on CITREC open source code. Sim Pack Java Library is used to calculate the textual and semantic similarities. The nDCG value corresponding to two of the semantic similarity criteria is calculated at three precision points. Finally, the nDCG values are compared by using the Friedman test to determine the power of each text level in predicting the semantic similarity. The results showed the effectiveness of the text in representing the semantic similarity in such a way that texts with maximum textual similarity are also shown to be 77% and 67% semantically similar in terms of linear and hierarchical criteria, respectively. Furthermore, the text length is found to be more effective in representing the hierarchical semantic compared to the linear one. Based on the findings, it is concluded that when the subjects are homogenous in the tree of knowledge, abstracts provide effective semantic capabilities, while in heterogeneous milieus, full-texts processing or knowledge bases is needed to acquire IR effectiveness.
Optical free form surface metrology in adaptive polarized interferometry

An adaptive polarized interferometer is proposed for optical free form surfaces metrology without auxiliary devices such as the wavefront sensors and deflectometry systems for deformable mirror (DM) monitoring. In this method, the DM surface monitoring and free form surface measurement are achieved simultaneously in only one interferometer by the polarizing design. The polarizing design divide the interferometer into two partial common path interferometric system, which provide the null test for tested free form surface and non-null test for the DM surface. The final figure error of the free form surface is extracted by ray tracing. Experiments proving the feasibility of this interferometer is shown.
Text Summarization and Categorization for Scientific and Health-Related Data

The increasing amount of unstructured health-related data has created a need for intelligent processing, summarizing, and categorizing these data to extract knowledge from them. My research goal in this dissertation is to develop Natural Language Processing (NLP) and Information Retrieval (IR) methods for better processing and understanding health-related textual information to promote health care and wellbeing of individuals.
Uniform Distorted Scene Reduction on Distribution of Colour Cast Correction

<p class='IJASEITAbtract'>Scene in the photo occulated by uniform particles distribution can degrade the image quality accidently. State of the art pre-processing methods are able to enhance visibility by employing local and global filters on the image scene. Regardless of air light and transmission map right estimation, those methods unfortunately produce artifacts and halo effects because of uncorrelated problem between the global and local filter’s windows. Besides, previous approaches might abruptly eliminate the primary scene structure of an image like texture and colour. Therefore, this study aims not solely to improve scene image quality via a recovery method but also to overcome image content issues such as the artefacts and halo effects, and finally to reduce the light disturbance in the scene image. We introduce our proposed visibility enhancement method by using joint ambience distribution that improves the colour cast in the image. Furthermore, the method is able to balance the atmospheric light in correspondence to the depth map accordingly. Consequently, our method maintains the image texture structural information by calculating the lighting estimation and maintaining a range of colours simultaneously. The method is tested on images from the Benchmarking Single Image Dehazing research by assessing their clear edge ratio, gradient, range of saturated pixels, and structural similarity metric index. The scene image restoration assessment results show that our proposed method had outperformed resuls from the Tan, Tarel and He methods by gaining the highest score in the structural similarity index and colourfulness measurement. Furthermore, our proposed method also had achieved acceptable gradient ratio and percentage of the number of saturated pixels. The proposed approach enhances the visibility in the images without affecting them structurally.
Event Information System with SMS Notification For Imperial Learning Center

Mobile phones are before long considered as a necessary bit of individuals' well-ordered lives which is used for correspondence and gives separated data. The utilization of mobile phones isn't normally constrained to the letter alone, in any case presently utilized for enrolment to respect included associations like upheaval exhorted, prepared systems, and takes note. The Event Information System with SMS Notification that can help customers with dealing with their events in any condition will give understudies and guards an information structure that is straightforward and easy to use. The purpose of this is to consider is to develop a module that will help the understudies of Imperial Learning Center (ILC) in Imperial Silang Cavite, for basic access concerning with the school events, announcements, and understudy's class plan.
An Efficient System for Human Detection Using PIR Sensor and Mobile Technology

Personal security and safety of one's property is not just one's basic need but one's basic right, too. Had it not been for this fact, there wouldn't have been any laws, law enforcement bodies, system of justice, and any question of good governance and government. Apart from these highly sophisticated means for protection of human safety in terms of physical security including health, economic security, and social security, there have been other systems in place for safety purposes. These include home, shop, or office automation, deployment of security staff, installation of CCTV cameras, buying insurance policies, and so on. However, each of these measures costs great money to the security seeker. The system presented in this chapter, based on human (and/or animal) detection using passive infrared radial (PIR) sensor and mobile technology, is a cost-effective security solution to those who cannot afford large investments in their personal and property safety.
Sistem Pakar Penyakit Mata Merah Berbasis Web Menggunakan Metode Decision Tree dengan Forward Chaining

&#x0D; &#x0D; &#x0D; &#x0D; This paper presents an expert system disease of the red-eye web-based using the decision tree with forward chaining algorithms. The aims are to design and to implement a web-based expert system of disorders of the red-eye (disease) and to provide a second opinion web tool based for diagnosing the red eye (disease). The system was built using framework CodeIgniter with php and html. The experimental results show that the system has run well which is indicated by valid black box achievements, 55% of conformity to experts from the Faculty of Medicine of the University of Mataram and 4.19 of five leakage scale of MOS parameter. It means that the expert system of the red-eye disease has been work properly and potentially to be implemented for the community.&#x0D; &#x0D; &#x0D; &#x0D;
Pituitary volume alterations and clinical correlates in unmedicated patients with schizophrenia

In this paper, wavelet transform profilometry (WTP) method is studied to achieve a train wheel surface 3-D topography reconstruction and defects inspection. A structured light illumination is used to generate periodic fringes, and a CCD camera is used to capture the image of deformed fringes caused by a 3-D topography. The Complex Morlet wavelet is used to transform the deformed fringes image. By extracting the maximum value of wavelet transform ridge, distribution of wrapped phase caused by cliffy surface variation is obtained. A reliability algorithm is used for phase unwrapping. Simulation is done to manifest the feasibility of the method, and the maximal deviation of a 3-D reconstructed surface is 0.15 mm, so comparing with traditional 3-D reconstruction method, this method achieves a higher accuracy. Validation test on a train wheel shows that this method performs a precise 3-D reconstruction of large dimension object such as wheel surface, while small dimension object such as surface defects is also fine recognized simultaneously. Comparing with light section method, this method achieves a faster 3-D reconstruction.
Tuning in to Very Fast Events

This chapter demonstrates that entrainment applies to very fast events, namely sounds with high frequencies. To illustrate this, prominent approaches to pitch perception are sketched along with basic pitch perception phenomena (e.g., virtual pitch perception). In this chapter, multiple frequency components comprise a single complex sound, and people must judge the pitch of this collection of frequencies. Both a successful psychoacoustic theory of pitch perception and a dynamic attending approach offer valid explanations of various phenomena surrounding the pitch of such sounds. This suggests the potential of entrainment in describing pitch perception (i.e., entrainments at fast time scales). The perception of consonance and dissonance is also considered, where dissonance is linked to complex synchronicities termed <italic>attractors</italic>. Finally, this chapter introduces <italic>oscillator clusters</italic>, a group of endogenously entrained oscillations.
Clinical characteristics associated with benzodiazepines’ use in mood, anxiety and psychotic spectrum disorders

Most software attacks subvert the intended data-flow of a program via exploiting the memory corruption vulnerabilities. Data-Flow Integrity (DFI) is a generic defense against such attacks. Its security guarantee mainly depends on the accuracy of the static Data-Flow Graph (DFG) generated from Data-Flow Analysis (DFA), but the static DFG is conservatively over-approximated due to the imprecision of DFA. Hence a natural question is: what is the real protective power of DFI and how to measure it? In this work, we first evaluate the effectiveness of DFI based on the constructed memory corruption offense-defense model and the proposed attack Data-Flow Bending (DFB). We show how DFB corrupts memory data while adhering to DFI through a proof-of-concept exploit. Furthermore, we verify the possibility of the state-of-the-art data-oriented attacks using practical cases in the presence of DFI. Our work indicates that DFI may be ineffective against the exploitation of memory corruption vulnerabilities in certain circumstances, and that DFB can circumvent DFI to carry out memory corruption attacks.