Reviewerly/exHarmony huggingface dataset:
KOMIK PENGENALAN ANGKA UNTUK ANAK USIA DINI DI KOTA METRO

This research aims to create educational product of comics.This product make media to introduce numbers for early childhood.The subjects in this study were students for early childhood.They are TK Ma'arif 1 at 16c Metro South, TK Ma'arif 2 at 21 East Metro and RA Ma'arif 1 at 28 Purwosari Metro Utara.The development model used is the 4D development model, Thiagarajan which consists of 4 stages, define, design, develop and disseminate.The results of the material expert validation with a score of 3.60 with a very valid category.The results of design validation with a score of 3.43 with a very valid category.The results of the field test as much as 86% reached the indicator that the child could show / pronounce the names of numbers verbally and in writing, as many as 77% of the children reached the indicator which was able to write and mention the names of the numbers in order and consistently, as many as 69% of the children reached the indicator that was able to understand correspondence (for example "five" represents five things), as many as 80% of children reach the indicator that is able to understand the concept more and less
Cognitive State Analysis System to Ensure Safety of Women and Elderly

Though we live in the 21st century with high degree of comfort and sophistication, we fail utterly in cases of women safety. Around 34,600 sexual molestation cases were reported against men in last 6 years in India. In 2017, everyday 6 sexual molestation cases are being reported in India, in an average. So, there is a huge and urgent need to re-fabricate the social fabric of the society to ensure women safety. Hereby, we propose a system of complete automation to ensure the safety of women which also enables us to identify and act accordingly in the cases of emergency. This system can be used to ensure the safety of any living individual. The main advantage of this system is that it does not require any action of the affected individual to get help, i.e., Supreme automation. It can be used to check the clean flow of life of individuals especially, the elders, women and kids. It enables us to help the needed in the exact time of need. This system works on the basis of the user’s cognitive state analysis (Normal/Unconscious/High alertness (Fear)).
Lossless Watermarking for Image Ratification: An Implementation based on 12th Root of Exponential Function

In this article, an exponential transformation based digital image watermarking scheme has been described. The method is employed with 12th root of exponential function for embedding watermark into the cover image. Due to bulk data capacity of the image, many watermarking techniques uses more time for data insertion and separation processes. Algorithm is designed in such a way to embed a watermark of 1/16th size of host. The retrieved watermark is examined under various security analysis. Many standard test images are subjected for watermarking process under proposed scheme resulted with better scale and utilizes less computational time compared to other techniques.
Graphing Model of Prediction Data for Occupational Incidents in Chemical And Gas Industries

Constant streaming of data for any instances at such high volumes provides insight in various organizations. Analyzing and identifying the pattern from the huge volumes of data has become difficult with its raw form of data. Visualization of information and visual data mining helps to deal with the flood of information. Constant streaming of data for any instances at such high volumes provides insight in various organizations. Analyzing and identifying the pattern from the huge volumes of data has become difficult with its raw form of data. Visualization of information and visual data mining helps to deal with the flood of information. Visual data representation takes the data and its results to all the stakeholders in a meaningful manner which comes out of the data mining process. Recent developments have brought a large number of information visualization techniques to explore the large data sets which can be converted into useful information and knowledge. Observations and inspection data gathered from chemical and gas industries are being piled up on a daily basis as raw data. Continuous analysis is a new term evolving in the industry which continuously performs on the streaming data to have real-time analysis and prediction on-live. In this paper, usage of the various graphing model as per the respective information obtained from the organization have been discussed and justified. It also describes the value addition in making the decisions by representations through graphs and charts for better understanding. Heatmap, Scattergram and customized Radar plots the analyzed data as in the required format to visualize the prediction done for the occupational incidents in chemical and gas industries. As a result of the graphing model, representation provides a higher level of confidence in the findings of the analysis. This fact takes a better visual representation technique and transforms them to provide better results with faster processing and understanding.
Visualization of Object-Oriented Variability Implementations as Cities

The ninth IEEE Working Conference on Software Visualization (VISSOFT 2021) builds upon the success of the previous eight editions of VISSOFT, which in turn followed after six editions of the IEEE International Workshop on Visualizing Software for Understanding and Analysis (VISSOFT) and five editions of the ACM Sympo0sium on Software Visualization (SOFTVIS). In 2021, VISSOFT will take place and be co-located with ICSME.
Field Level Security of the Sensitive Data in Large Datasets

The process of deriving useful and knowledgeable information from enormous quantity of data is Data Mining. During mining procedures, handling of the sensitive data has become important to protect data against illegal attacks and malicious access either during transmission or at rest. Association rule algorithm is one of the rule extraction techniques. The rules determined are either to be transferred over the public networks or to be rested for further use.The main objective of the Field Level Security of the Sensitive Data in Large Datasets is to extract the strong association rules from the large data sets and the outcomes are crafted to conceal the sensitive data. The datasets and the association rules involving the attributes with relationships and dependencies are modified through several approaches and to see that no sensitive association rule is derived from it[1]. Privacy preservation of the sensitive association rules in large datasets is to provide secrecy for the sensitive data. Presently, it has become quite important to safeguard the privacy of the users’ personal data from unauthorized persons. The usage of association rules in voluminous datasets has emerged to be advantageous to organizations [2]. In this paper, we present a novel approach which is applied for hiding sensitive association rules by utilizing the techniques of compression, encryption method ology on the original dataset, providing dataset with better immunity.
Smart Healthcare using IoT-Aware Architecture for Health Monitoring

The health is one of the valuable wealth since pre Cambrian age. The healthcare provided in unpredicted situation is monetarily insured against it. The healthcare infrastructure and biomedical systems are of great importance. The quality of care to patients with reduced healthcare cost and nursing staff service is the primary challenge of this system. Patient monitoring, supervision, emergency assistance and time-bounded reporting of patient care and medical assistance are the duties of the nursing staff which are prone to human errors. The recent advent of technology connects physical devices the network and decides in decentralized manner. The IoT inspires to progress the hospital by improved healthcare and biomedical process.
UMN E-Complaint Application with Automatic Classification Feature

In university, students’ complaints about the services provided are essential things to note because it could lead to higher student transfer if not appropriately handled. In Universitas Multimedia Nusantara (UMN), students can express their complaints through Dewan Keluarga Besar Mahasiswa (DKBM) UMN. By technology development, an online complaint submission system can be applied at UMN. A method that can be used in supporting efficient complaints processing is by using automated classification system since it can save both time and human resources. UMN e-complaints application with automated complaints classification feature was built using the CodeIgniter framework. The evaluation of the e-complaint application was conducted by using the USE Questionnaire. The results show that both DKBM UMN and students agree that the application is useful, easy to use, easy to learn, and satisfying.
Using interactive maps as a newest approach in the organization of teaching geography at modern school

The purpose of this article is to highlight some aspects of the introduction of interactive maps into the educational process as a means of learning, as well as means of managing the educational process and ensuring professional activity of teachers. The lack of a common approach to the development of methods of teaching geography, practical courses based on interactive maps, can be considered as the main methodological problem of teaching this discipline. Editorial preparation of interactive maps with its own characteristics requires additional research along with the traditional works of preparation of maps for publication. The main material. In recent years, the question of the use of new computer technologies and electronic means of education in General education institutions has become more and more common. A high degree of clarity of the presented material, the relationship of various components of courses, complexity and dialogue make interactive geographical maps indispensable helpers of the teacher. Interactive maps allow you to increase the level of geography teaching at the expense of better information of maps while ensuring simplicity and ease of cartographic material perception. When creating interactive maps, developers need to take into account some prerequisites: available software for the development, updating and operation of interactive maps; analysis of the volume of cartographic and text information, the number of layers, possibility of combining thematic information of different topics. Any cartographic guide requires the inclusion of illustrative material in the content. Interactive maps are sometimes called substitutes for paper wall maps and predict their dominance in the classroom. Demonstration and functionality of them is much higher than that of paper. The interactive map provides cartographic information, the content of which is presented in layers with the ability to manage different layers of thematic information and minor content editing. Conclusions and further research. Modern educational trends show that there is a main and quite interesting task before teachers-geographers: to increase the interest of pupils to study their subject through the activation of cognitive activity in the classroom. And it is possible only when the teacher competently builds teaching, using new information technologies. In the development of interactive maps, the main problem is great complexity, the need to attract highly qualified specialists. Using interactive maps in geography lessons is a significant step forward. They not only facilitate the work of the teacher, but also encourage schoolchildren to better study the subject. But we must not forget about the traditional paper cards. It is desirable to combine paper and interactive maps, which will develop a harmonious cartographic competence or geographic literacy among those who study.
Advanced Encryption Standard for Data Encryption using EDK Environment in FPGA

now a day’s VLSI is developing technology as predicted by Moors law which is drastically increasing as per demand one of that is data security for efficient processing so, data encryption and decryption are major play in security for this an advanced encryption standard is there which uses reconfigurable hardware process in this paper field programmable gate arrays (FPGAs) kit of Xilinx based platform in which spartan3E EDK kit is used. Here we analyze the speed of AES algorithm by using this EDK environment where obvious high speed is considerable and with power consumption and throughput exemptions. With micro blaze soft core processer we implement our algorithm of AES by using c coding we configure the hardware structure. EDK tool with one round operation is done and both area utilization and throughput are observed as we are familiar that when area reduces power consumption also reduces.
Patrolling AI Systems in Video Games

Artificial Intelligence is a common element in digital video games and it is one of the most essential component in modern games. Modern games are populated with Non-Player Characters (AI Characters) that performs different activities. Realism is dominating in games and AI behavio rs are expected to be more realistic in games. Games that has poor unrealistic AI elements are facing heavy criticism from the player bases. Further, modern games are highly dynamic. Classical games had static environment with less or no changes in it. Such environments made implementation of AI easy and simple. In modern games, Progressive terrain generation and other such content generation methods increases the complexities of building an efficient AI for games that has many changes in real time. One of the most common AI in games is Patrolling AI especially in Shooter and Adventure Games. Patroling AI involves path finding and obstacle attack or defense. RRT algorithm and its variants are highly successful Probabilistic Determination AI that produced effective results in real time robotic movement. In order to build efficient Patrolling AI for games, a real time RRT* variant called RT-RRT* algorithm was employed. The algorithm is flexible enough to add various behaviors in addition to path finding which makes it more suitable for games. The algorithm takes samples from the environment and construct the efficient path. Also the algorithm inspect the environment in run time to ensure that no moving obstacle blocks the path. In such case, it rewires and create a new path. In order to manage the dynamic obstacles, a Real Time Obstacle Handling Algorithm was designed and employed in a dynamic game environment. The algorithms inputs the obstacles types and parameters. On identifying the obstacle approaching the AI in terrain, it tells the agent to perform the needed actions. The simulations was carried out using Unity Game Engine. The model proposed helped to create efficient patrolling AI that handle two major aspects of patrolling which is Path finding and Obstacle handling. The model will be highly suitable for dynamic game environments with lots of uncertainty and emergence.
Impact of Audit Committees on the Financial Performance: Evidence from Jordan

This study examines the effects of the correlation between corporate governance mechanisms (audit committees) on the financial performance in the Jordanian companies, the sample comprises of 115 companies, 690 observations, listed in ASE for the period from (2010-2015), thus our goal is the correlation between the audit committees and financial performance to financial data analysis quality test and effect on the earnings. The results of this research expose a strong relationship both the audit committees and performance, and the results of this study have significant inclusion that supports encouraging the enforcement of the principles of governance and controlling the behavior of these committees, the reliability of statements, financial information, and reports issued by companies can be enhanced. The current study bridges the previous literature gap by providing empirical evidence on the quality and efficiency of audit committees in Jordan as an emerging economy and its impact on financial performance.
Tagungskalender

Free AccessTagungskalenderPublished Online:Mar 2019https://doi.org/10.13109/grup.2019.55.1.93SectionsPDF/EPUB ToolsAdd to favoritesDownload CitationsTrack Citations ShareShare onFacebookTwitterLinkedInRedditEmail About Previous article Next article FiguresReferencesRelatedDetailsCited byQuantum Attacks on Sum of Even-Mansour Pseudorandom FunctionsInformation Processing Letters Download book coverVolume 55Issue 1March 2019 ISSN: 0017-4947eISSN: 2196-7989HistoryPublished online:March 2019 PDF download
Retinex Color Balanced Piecewise Contrast and Fuzzy Trilateral Filter for Underwater Image Enhancement

Over the past few years, underwater observation has become an active research area. Due to the higher rate of image degradation in the underwater environment, image enhancement has become one of the problems to be addressed for the underwater research. Underwater images face limitations like color correction, white balance, color contrast and haze. To overcome those problems, a novel fusion method based on the Retinex Color-balanced Piecewise-contrast and Fuzzy Reinforced Trilateral Filter (RCP-FRTF) method is presented for underwater image improvement. With the underwater image given as input, to start with, a color correction model based on the Retinex multi proportions is presented. With the color corrected output obtained, an Eigen-based White Balancing method is applied to generate color balanced model. With the color balanced underwater image, color contrasting is performed using the Piecewise Linear Color Contrast model. After obtaining the latter, the contrast is said to be improved to a better level. Finally, to generate a haze-free image a Fuzzy Reinforced Trilateral filter is applied. The enhanced and de-hazed images are distinguished by reduced noise level, thus enhanced visibility and contrast while the finest edges are enhanced. The proposed RCP-FRTF method provides better performance in terms of PSNR, computational time, complexity and accuracy as compared to conventional methods.
Perceptions, Challenges, and Suggestions for Improvement Research Production

There is a dearth of empirical research conducted to investigate the challenges of research productivity among faculty members at universities. This study aims to explore perceptions and challenges of research production. This research is quantitative. Data was taken using an instrument in the form of a questionnaire. The population and sample in this study amounted to 55 people. The results of this study indicate that long waiting periods for manuscript publication, lack of time allocation for research, and lack of research training programs are the most prominent challenges in research production. The participants have also submitted several suggestions to increase research products such as conducting research training programs, providing research incentives, and providing adequate research facilities. So, it can be concluded that members are aware of the importance of research publications in their career advancement. They also provide some of the challenges faced when writing research such as insufficient time allocation for research, lack of research training, and lack of research facilities.
The main directions of the application of pedagogical innovations in modern times and the role of teachers in this activity

The article explores the application of pedagogical innovations and the role of the teacher in this area. The survey showed that the application of pedagogical innovations in education is conditioned by a complex of different factors. In addition to motivating teachers, their age characteristics, attitude to new pedagogical technologies and the level of their use, as well as the presence of the necessary skills and so on are important. The unequivocal lack of attitudes towards pedagogical innovations, as well as teachers 'frustration, passivity and negative attitude towards innovation, also prevent the widespread application of innovation. The survey showed that there is no serious paradox in teachers' assessment of innovative teaching methods at real and predictable levels. There is no doubt that there is an intensive interest in the use of new methods in the organization of training, and the positive aspects of innovation in teaching, in the opinion of teachers, increase cognitive activity, reduce negative emotions and create lasting motivation in students.
Automatic Relationship Construction in Domain Ontology Engineering using Semantic and Thematic Graph Generation Process and Convolution Neural Network

In recent studies, Ontology construction plays an important role in translating raw text into useful knowledge. The proposed methodology supports efficient retrieval using multidimensional theory and implements integrated data training techniques before enter the trial process. The proposed approach has used the Semantic and Thematic Graph Generation Process to extract useful knowledge, and uses data mining techniques and web solutions to present knowledge as well as improve search speed and information retrieval accuracy. Established ontology can help clarify what it means for different ideas and relationships. Due to the rise of the ontology repository, the process of matching can take a long time. To avoid this, the method produces a hierarchical structure with in-depth interpretation of the data. A system is designed to remove domain dependencies using a dynamic labeling scheme using basic theorem, and the results show that it is possible to automatically and independently construct an independent domain.
Alphabet soup

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Audio Processing

In Chapter 7, you learned about processing signals with GNU Octave. Audio is a type of signal and its processing requires detailed knowledge of signal processing. So, as a continuation of the previous chapter, in this chapter you will learn how to process audio with GNU Octave. The following is the list of topics that you will explore in this chapter: