Reviewerly/exHarmony huggingface dataset:
Research on Performance Test of Chinese Character APP Software Based on OL-ADE Algorithm

Entering the information age, Chinese character APP assumes the task of cultural dissemination in a novel form as a carrier. And, software performance testing, a means to ensure software quality, is needed to maintain its performance. In view of this, the research first designs an opposition-based learning of adaptive evolution based on reverse learning strategy (OL-ADE), and then builds a Chinese character APP software performance test model on this basis and put it into application, and finally verify its effect through experiments. The results show that when the population size is 50 or 100, the OL-ADE algorithm has the least number of iterations under different data input ranges, and the number of iterations is within [40, 150]. The branch coverage is 100%, and the average number of iterations required by OL-ADE algorithm is the smallest. The above results show that OL-ADE algorithm has the best overall performance among the four algorithms, and can complete the software performance test of Chinese character APP.
A Novel Technique of Gesture Recognition for Car Infotainment Control

This paper details the development of a gesture recognition technique for car infotainment control. Nowadays, in highway due to heavy traffic or twist and turns along the road the drivers cannot afford to take their eyes of the road. One of the prominent human-machine interface (HMI) technology is gesture recognition. Gesture can be used in the automotive industry to provide a secure and luxurious control interface that will limit driver distraction. Human-machine interfaces permit working vehicle gadgets without changing the driver's consideration. A complete framework for controlling the infotainment hardware through hand motions is clarified in this paper.
Introduction

This introduction presents an overview of the key concepts discussed in the subsequent chapters of this book. The book presents the Serials Cataloging Cooperative Training Program’s Serials Holding Workshop, which reviewed the MARC 21 format for Holdings Data standards. It describes the concept Serials Esperanto, “a common language for communication among publishers, vendors, and librarians.” The book provides an inspiring and thought-provoking review of today’s technological trends and how they will impact libraries down the road. It presents a history of the serial industry and NASIG during the last twenty years. The book looks at the problems and opportunities institutional repositories offer at the University of Oregon and around the world and the effect such repositories will have on the changing nature of serials and scholarly communication. It provides both theoretical and practical perspectives on usage statistics for online resources.
Variance Reduction in Low Light Image Enhancement Model

In image processing, enhancement of images taken in low light is considered to be a tricky and intricate process, especially for the images captured at nighttime. It is because various factors of the image such as contrast, sharpness and color coordination should be handled simultaneously and effectively. To reduce the blurs or noises on the low-light images, many papers have contributed by proposing different techniques. One such technique addresses this problem using a pipeline neural network. Due to some irregularity in the working of the pipeline neural networks model [1], a hidden layer is added to the model which results in a decrease in irregularity.
Distributed FP Growth Algorithm for Cloud Platform without Exposing the Individual Transaction Data

Data mining is a concept of extracting the required patterns to take appropriate decisions. One of the major challenges in data mining is to extract hidden patterns with the secure and privacy from the huge databases. Privacy preserving is a method used to extract hidden patterns with privacy. In this paper Mining Association rules with privacy preserving mechanism in the cloud platform is proposed. It is a powerful technique to find the hidden pattern in the distributed database. For now many mechanisms has proposed but it has many drawback, not proven and not specific. In cloud the data is stored in the servers. The data is distributed in different servers in cloud platform. Each server has one of the transaction data. The current paper proposed the distributed FP growth algorithm for cloud platform without exposing the individual transaction data. The results proved that the proposed algorithm is best to extract hidden pattern from Cloud platform in terms of efficiency.
Application of the Eluate Method of Phytotesting in Assessing the Waste Toxicity of the Process of Chemical Oxidation of Metals

The work describes the use of the eluate method of phytotesting in determining the toxic properties of waste from the metal chemical oxidation process. The experiment used two test cultures: radish (Raphanus sativus) and oat (Avena sativa L.) that showed the same toxicity results of studied samples. According to the established method, the research was carried out, mathematical models of the dependence of the phytoeffect on waste dilution were predicted, the safe waste dilution was calculated, and the results of the studies concluded on the classification of the risk of the waste under study.
Software Tool for Test Paper Generation

In this chapter, the authors discuss the features of the tool which is developed using the algorithms designed and implemented as part of the research work carried out. They have named it a test paper generation system (TPGS). At some places, they have used question paper generation system (QPGS) instead of its alias TPGS. The main modules of this tool are (1) test paper template generation, (2) question conflict detection, (3) test paper template-based question selection, (4) syllabus coverage evaluator for test paper, (5) and answer paper evaluator.
Effective Analysis of Human Facial Appearance using JAFFE Images

Those targets may be with recognizing that status of the human conduct technique In view of their facial expressions.Another perfect to identifying human face Likewise a enter symbolism and distinguishing their facial outflow utilizing characteristic extraction parameters for example, such that precise second moment, complexity Also homogeneity What's more conduct technique might have been attained utilizing base separation classifier.A facial outflow proposed system necessities on tackle the accompanying issues for example, such that facial characteristic extraction also facial outflow order.The universally acknowledged seven vital feelings with a chance to be figured it out are Angry, Happy, Sad, Disgust, trepidation and astonishment along unbiased.The suggested technique might have been assessed on the JAFFE database pictures Also logged off pictures utilizing three of the facial expressions for example, such that Happy, pitiful What's more nonpartisan.Those recommended system depicts a constant programmed facial outflow proposed system similarly as an input.The advanced fittings may be planned to feeling proposed system utilizing Verilog Also executed looking into Xilinx straightforward 3E unit.Subsequently the test outcome demonstrates that those proposed rate gets to 93. 33% Eventually Tom's perusing utilizing logged off pictures and 95.33% Eventually Tom's perusing utilizing JAFFE dataset will be got.
Sentiment Analysis: A Contrastive Study of its Techniques

The current research focuses on one of the techniques of Natural Language Processing (NLP) known as Sentiment Analysis. NLP provides the computer with an ability to understand, process and interpret natural human language. Nowadays, there are many data generated through the web and its platforms which is unstructured according to many surveys. Using NLP, we could convert this unstructured data into a structured format. Among them, one of the critical tasks of this sentiment analysis is to produce a quick summary of opinions based on the product's features which helps many manufacturers know how their products are doing in the market and what necessary things they should make to improve their products. This paper highlights the critical features of Sentiment Analysis, Data Sources, techniques involved and addressing its importance in our present world by analyzing it's application areas.
Key Decisions to Design a Secure Cluster in GKE Cloud

Virtualization technologies and secure cloud on-demand services escalate the need of cloud orchestration.Numerous Cloud Service Providers enhance the orchestration of cloud services based on well-configured projects.Several factors make customers cross-fingered to host resources on cloud in terms of virtualization, security, cost, load balancing, resource deployment, utilization and more.High demand to on-cloud services tend towards security and policies.Google Kubernetes Engine migrates the resources from cloud to GKE and supports security policies.The major view of this study is to focus on the key issue in the design of the cluster and decisions towards network set up to secure user projects.Use of subnets and cluster design policies secure the cloud applications to a greater extent.The Kubernetes cluster architecture and design considerations are applied and implemented on GKE in GCP and the results are shown.
Codoc: Code-driven Architectural View Specification Framework for Python

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.
Digital Competences and Skills in the Frame of Education and Training

Digital competence is increasingly a significant foundation for a modern knowledge society that operates in compressed space and time, in conditions of high mobility, interchangeability of many tools and resources, and in the saturation of information sources.The Empirical data are obtained by qualitative methods: 30 in-depth interviews carried out with members of different social groups.The paper argues that digital literacy includes the ability to search, select and process information in computer and network sources, content creation, and Internet safety skills.The main conclusions are that more efforts needed to improve the educational methods to create digital competences of learners.
Usability Standards: Connecting Practice Around the World

Design and usability standards are difficult to create and hard to enforce. Although many groups have tried to create general design standards or patterns, the diversity of industry and content has made it difficult to create strong standards to embody usability knowledge and practice. The chapter discusses the popular usability standards and two governmental programs, and consider how effective they have been in both fostering good usability practice and in creating an international consensus on practice. By looking at what they attempted to standardize and how well they have been adopted by industry, we can see some of the strengths and weaknesses of standards as an influence on industry practice. The three standards we will examine are User-centered design is the common name for a process for designing the user interface for software and other products. The standards and guidelines that have been discussed in this chapter are just a few of the many that exist or are being developed.
Compact Lightweight Cryptographic Algorithmfor Optimizationof Resources

The study of Lightweight cryptography has been one of the intresting topics in symmetric cryptography in the recent years. Lightweight symmetric ciphers has gained interest due to the increasing demand for security services in constrained computing environments, such as in the Internet of Things(IoT). Though the protocols of light weight in are providingingmore security in variousapplications,resource utility is more in key generation, key scheduling, permutation layer and substitution box layer operations. More resource usage make possibletohave highutilization of power andoverhead of area. In this paper, a novel method is proposed to decrease theutility of resoures, which followsregister reutilization scheme. The resource reutilization is coordinating with the delay inSubstitutionPermutation Network (SPN).Our design is compared, using area, throughput, power, and latency as metrics.
eStep: A Novel Method for Semantic Text Summarization with Web-based Big Data

Text summarization plays an important role in analysis of large set of data. It can be use in online text analysis and knowledge representation. Semantic text summarization plays a vital role to handle big data as data is in very large size, dynamic in nature and heterogeneity. In this paper I have proposed a novel model of knowledge-based semantic analysis for text summarization of web-based dynamic text data with help of FP-tree (Frequent Pattern tree). This model is free from ontology to find out semantic representation. The model consists of two phases. In the first phase benchmark web text data in terrorism domain is collected for construction of domain knowledge representation using FP-tree. Preprocessing is performed to reduce size and handle synonyms. In the second phase, Online articles/news are collected from different sources. Then using the domain knowledge representation, the summary of the web based large text data is extracted.
Craft Approach and Framework for HCI Research

The chapter presents the specific craft approach to HCI research, including an illustration from the literature. The latter reports four phases of a design and research project to develop a location-mapping mobile application for breastfeeding women. It then presents the specific craft framework for HCI research, comprising craft as discipline, general problem, particular scope, research, knowledge and practices. The specific craft framework is followed by the craft design research exemplar, as the craft research and design cycle. The lower-level craft framework comprises the craft application, the craft interactive system, and the craft interactive system performance. Both the exemplar and the lower-level framework are applied to the same illustration of the craft approach taken from the literature reporting the development of a location-mapping mobile application for breastfeeding women.
Airline Service Features: A Mind Genomics Cartography Incorporating Emotions

The study reported here presents one of the early studies in the use of the emerging psychological science of Mind Genomics to understand how people think about the features of travel, both in terms of motivation to act, and in terms of the linkage of emotion to the specific element.The ingoing assumption was that through the approach of Mind Genomics, explained below, it would be possible to do a simple study to understand the mental 'valence' of ideas in the mind of the consumer. Understanding the Mind of the Consumer through Systematics (Mind Genomics)Mind genomics is an emerging science with heritage from psychology, consumer research, statistics, and anthropology [10].The objective of a Mind Genomics study is to understand how people make decisions about the everyday aspects of their lives.Mind Genomics works at the level of the granular, at the simplest levels of experience, which we might call 'bottom-up' .This means that the information is specific, g expressed in the language of the person who is doing the experiencing, rather than in a summarizing, detail-sparse, high level language that might be used for a professional report.The study reported here represents one of the earliest mindset cartographies, defined operationally as small studies which take a snapshot of an experience or a situation, with relatively few people.The objective of cartography is to map out the area, rather than confirm/falsify a hypothesis in the way Karl Popper and his associates might do so [11].Mind Genomics reveal patterns which suggest a
Volume 26 Issue 2 Introduction | From the Guest Editor

This issue of the OLA Quarterly features articles written by State Library staff highlighting the programs, services, and history of the State Library. The State Library of Oregon was established as the Oregon Library Commission in 1905 and renamed as the Oregon State Library in 1913. Today, the State Library of Oregon has three distinct roles:
The Role of Jordanian Universities in Applying Fourth Industrial Revolution Principles

This study aimed to define the degree of applying the Jordanian universities of the Forth Industrial Revolution from the faculty point of view.To achieve the goal of this study a developed questionnaire established consisting of ( 46) items distributed to the faculty members numbered (332) in the Jordanian public universities (The University of Jordan, Yarmouk University, and Mutah University).The findings of this study shows that the reality applying the Jordanian universities the Fourth Industrial Revolution from the faculty point of view came as follows: The reality knowledge systems in Jordanian universities from the faculty members point of view was moderate, also reality technical systems in Jordanian universities from faculty members point of view was moderate, and as for the role of Jordanian universities in applying Fourth Revolution principles from the faculty members point of view, the study showed that the role of the faculty member and the role of university administration in Jordanian universities in applying the Fourth Industrial Revolution principles from the faculty member point of view was moderate degree, based on The results of the study, it recommends that the Jordanian universities are to take an approach that supports the requirements of the information age time limit and the digital revolution in order to contribute in increasing the competence and ability of faculty members to meet the needs of students information and knowledge.
The Role of Mobile Phone Technology in Resolving Communal Conflicts in Mandera County, Kenya

The unprecedented global adoption of information and communication technologies (ICTs) is rapidly changing the way people are communicating in solving problems. For several years now, the role of ICTs has become important in the way people construct their relationships in conflict resolution. Yet little is known on the dynamism of this interaction. It is not clear how mobile technology has contributed toward conflict resolution, and this study will contribute to the knowledge on the role of mobile telephones in conflict resolution. The purpose of this study was to explore how the mobile phone technology contributed in resolving communal conflicts in Mandera County, Kenya. This study was guided by three theories: conflict transformation theory, diffusion of innovations theory and social representation theory. The conflict Tansformation Theory is adopted as the main theory of analysis. The main idea of this theory is transforming negative conflict into constructive conflict, deals with structural, behavioural and attitudinal aspects of conflict. This study adopted a descriptive survey. The population for this study consisted of 301 employees in ICT and security department where stakeholders in technology and security sectors and the public. Primary and secondary data was analysed according to the objectives. Primary data was derived from questionnaires formulated to target employees in ICT and security department. The data analysis included qualitative and quantitative techniques. Qualitative data was summarized and categorized according to common themes and was presented using frequency distribution tables, graphs and charts. Content analysis was used mostly to arrive at inferences through a systematic and objective identification of the specific messages. The quantitative data collected was analyzed using descriptive statistics. The results confirmed that short message service, social media plateform, instant messaging applications, and video conferencing play a role in resolving communal conflicts in Mandera County. The study concludes that Short Message Service, Social Media Platforms and Instant Messaging Applications can be used conflict such as communal conflicts. Video Conferencing can be used to solve conflict such as relationship conflict, arises from differences in personality, style, matters of taste, and even conflict style as well as conflict in the workplace like task conflict. County government of Mandera must come up with ways of incorporating mobile phone technologies such as Short Message Service, Social Media Platforms, Instant Messaging and Video Conferencing on matters conflict resolution. The study recommends that the County Government of Mandera in collaboration with the National Government need to come up with agencies to regulate the use of social media as a medium to communicate in times of conflict since they are sometimes prone to misuse.
Spatial Sound

In this chapter, I’ll walk you through how to make the most of Spatial Sound in your applications! We rely heavily on our ears to precisely locate real objects around us. Our sense of hearing is able to detect extremely small differences in the arrival of sound waves at each of our ears in order to locate the position of the sound source in 3D space.
A Novel Stream Cipher for Multimedia Security A Novel Stream Cipher for Multimedia Security A Novel Stream Cipher for Multimedia Security A Novel Stream Cipher for Multimedia Security A Novel Stream Cipher for Multimedia Security A Novel Stream Cipher for Multimedia Security A Novel Stream Cipher for Multimedia Security A Novel Stream Cipher for Multimedia Security A Novel Stream Cipher for Multimedia Security A

In the last decades the tremendous usage of multimedia data like audio, video and images through communication channels create a need on the security over networks. Since multimedia content utilize large amount of storage for storing images, audio and video, classical cryptographic algorithms such as DES, AES are not efficient in encrypting multimedia data. In future these data are represented as media stream, like real time audio and video. Therefore it is urgent need to protect the multimedia data from attackers in between communication channels. In this paper we propose a new algorithm that encrypt and decrypt compressed multimedia stream of image or audio or video. The compression results in less time in encrypting data because more compression results in less data volume. Our work ensures that multimedia data streams can be secured according to the requirements of the current scenario.
Implementation of ANN Classifier for Weather Forecasting

Once quantitative information about the present condition of the environment and barometrical procedures is collected, one can head towards the making of climate conjectures. The climate expectation is essentially found on the recorded time arrangement information. The essential Data mining tasks and Numerical strategies are utilized to get a valuable example from a gigantic volume of informational index. Diverse testing and preparing situations are performed to acquire the precise outcome. To play out these sorts of expectations I am distinguishing the datasets. We gathered the information of a specific locale climate forecast from 1901 to 2001 with 11 traits. The gathered datasets experience the pre-handling. At that point bunching activity, Curve fitting and Extrapolation strategies are applied, continuing with a back spread. The Back spread and Extrapolation results are thought about. The Best future outcomes are anticipated.