Reviewerly/exHarmony huggingface dataset:
The mechanism for Predictive Load Control in the Implementation Framework through Genetic Intelligence

Cloud Storage is a pay-per-use range of resources. The consumer wants to ensure that all requirements met in a limited time for optimal performance in cloud applications that are every day. Load balancing is also crucial, and one of the essential cloud computing issues. It is also called the NP-full load balancing problem since load balancing is harder with increasing demand. This paper provides a genetic algorithm (GA) framework for cloud load. Depending on population initialization duration, the urgent need for the proposal considered. The idea behind the emphasis is to think about the present world. Real-World Scenario structures have other targets that our algorithms can combine. Cloud Analyst models the suggested method. A load-balancing algorithm based on the forecasts of the end -to - end Cicada method given in this paper. The simulator for cloud services or Cloud Sim can be used as a simulator to achieve a low computing requirement algorithm and a better workload balance. A simulation of cloud services is feasible. The result indicates the possibility of offering a quantitative workload balancing approach that can help manage workloads through the usage of computer resources. The next generation of cloud computing would make the network scalable and use available resources effectively. Load balancing, a significant problem in the cloud storage, and distributed workload over Several nodes to ensure that no single resource is overloaded. This can be seen as a question of efficiency, and its solution must adapt to the environment and styles of work to the right balance of load. This article introduces a new approach to genetic algorithm (GA) power loads. When trying to reduce the complexity of a particular task, the algorithm handles the cloud computing fee. A software analyst model evaluated the proposed method of load balancing. Results from simulations for a standard sample program show that the suggested algorithms outperform current methods like FCFS, Round Robing (RR), and local search algorithms Stochastic Hill Climbing (SHC).
A Study of Networking Performance in a Multi-user VR Environment : Using Unity and the Mirror library

Virtual Reality provides the ability to immerse users in realistic environments, which makes it possible to utilize the technology as an educational tool. The EIT Raw Materials Project MireBooks in ...
Santhali Language in the Digital Media Space

Digital media in the Indian perspective is vastly diverse from the other cultures of the world. The internet revolution comes with the challenge of selective language accessibility online, as well as limited language options used for the dissemination of information by digital media platforms. There is scarcity of languages in the digital space, as the internet is not exposed to all the languages of the world, thus restricting its reach to some of the most used global languages as well as the people using them. This means that a large number of people speaking other languages are left without using and benefitting from the various online platforms.India has a huge collection of languages. These languages are grouped as official, vernacular, local, classical and indigenous languages. These languages are used throughout the nation according to the literacy, knowledge, cultural inclination and preference of an individual. The relationship of the ordinary Indian and the digital space is a definite test when it comes to language diversity. While there has been a steady rise in the literacy of the tribes but the participation of the tribal scribes in mainstream media is almost insignificant. The tribal language print media circulation remains negligible or more-or less non-existent. The present paper studies the growth and existence of Santhali language in the digital media space. It also gives an insight into the digital media divide based on language and the entry of the digital media into the Indian indigenous language space.
Bitcoin Trace-Net: Formal Contract Verification at Signing Time

Smart contracting protocols promise to regulate the transfer of cryptocurrency amongst participants in a trustless manner. A safe smart contract implementation should ensure that each participant can always append a contract transaction to the blockchain in order move the contract towards secure completion. To this goal, we propose Bitcoin Trace-Net, a contract verification framework which generates an executable symbolic model from the underlying contract implementation. A Trace-Net model consists of a Petri Net formalism enriched with a Dolev-Yao-like actor knowledge model. The explicit symbolic actor knowledge model supports the verification of contracts featuring cryptographic sub-protocols, which may not be observable on the blockchain. Trace-Net is sufficiently expressive to accurately model blockchain semantics such as the delay between a transaction broadcast and its subsequent confirmation, as well as adversarial blockchain reorganizations of finite depths, both of which can break smart contract safety. As an implementation level framework, Trace-Net can be instantiated at run-time to monitor and verify smart contract protocol executions.
Guidelines for the Management of Digital Evidence Gathering Concerning Online Shopping Fraud

Constant connectivity to the Internet has improved our quality of life by leaps and bounds. Convenience shopping is the ultimate game-changer which is fast becoming the norm. While globalization of the Internet is rapidly moving forward, online businesses and consumers are vulnerable towards online fraud due to increasing usage on online transactions. This mixed methods study aims to investigate the factors that contribute towards online purchases while gathering evidence to develop guidelines for collecting digital evidence. Quantitative samples from 95 police officers from the Technology Crime Suppression Division, whereas qualitative samples comprised of 6 police officers from the same division, and 13 senior executives in various agencies who had been coordinated work with the Public and State Agencies in coordinating work in digital data evidence collection. The study employed focus group discussion and in-depth interviews. Questionnaires, percentage, mean, standard deviation,  t-test and ANOVA were also used for data collection and analysis.Research outcomes revealed that online shopping fraud was done in 3 ways: 1) buyer fraud  2) seller fraud 3) buyer and seller fraud. The Computer Crime Act B.E. 2550 (2007) empowered the police to request information from the service providers regarding the communication, financial, shipping and delivery trail. Problems and obstacles were related to poor knowledge management, delays, late delivery of evidence, scope of police power, incompetent personnel without ability to manage the flow of internal and external knowledge effectively, including a lack of public awareness. The main contribution of this study is to build public awareness to prevent and reduce the risk of online shopping fraud as well as providing a guideline for the Technology Crime Suppression Division to further operations.
Logic Writing of Chinese Declarative Sentences Relying on Marked Verb Matching Lambek Checking Algorithm

Abstract Natural language processing is an emerging discipline and a rapidly developing discipline. The development of natural language processing technology is full of opportunities and challenges, difficulties and frustrations. The establishment of various models and the proposal of various methods have brought vitality to natural language processing; although current systems such as machine translation and speech recognition are still in The immature stage, but the increasingly widespread application of natural language processing, proves its important position in the computer field and even the entire scientific and technological field. By using the marked verb matching Lambek check algorithm, I believe that in the near future, logical sentence writing and processing will have a brighter future.
Effectiveness of Pop-Up Book Media in Sex Education for Elementary Students in Low Class

Media was an important factor in supporting the success of learning about sex education for elementary students. This study aimed to determine the effectiveness of pop-up book in delivering sex education for elementary students in low class. The method used in this study was experimental. The subjects of this study were 21 students in grade 2 at SDN 1 Daya Murni. The instrument used was a Guttman scale test. The data analysis used in this study was a quantitative descriptive to reveal the level of effectiveness of pop-up book media and the calculation used was t paired samples t test with SPSS version 22 application. The results of this study revealed that pop-up book media as the media used in sex education had a high effective level, it means that there was a difference between pretest and posttest because of sig value of 0.000 < 0.05. The average posttest value of 15.38 was greater than the pretest value of 10.24, thus there was the increase of research results from before and afterusing pop-up book.
The Notion of Social Citizenship in Korea as Reflected in the 2015 Social Studies Curriculum and Its Education Textbooks: Focusing on Liberal Civil Rights and Republican Civil Duties over Welfare

본고는 자유주의, 공화주의, 선별적·보편적 사회적 시민권 개념이라는 분석틀을 활용하여, ‘2015 교육과정’과 시민성 관련 ‘사회과’ 교재들이 시장, 사회, 국가라는 맥락 속에서 복지와 관련된 사회적 시민권과 공민의 책무 간의 관계를 어떻게 설정하고 있는지를 분석했다. 헌법에 의해 ‘사회권’으로 그 존재론적 정당성을 보장 받는 사회적 시민권은, 기본이념(사회민주주의) 면에서는 보편적 사회적 시민권 개념이, 사회보장제도의 형태 면에서는 선별적 및 보편적 사회적 시민권의 두 개념이 공존하고 있는 것으로 나타난다. 동시에 관련 교재들이 보편적 복지제도의 한계를 지적하면서 ‘생산적 복지’를 고려해야 한다고 한 점에선 선별적 사회적 시민권 개념을, 반대로 ‘기본 소득’에 대한 논의를 유도하고 있는 점에선 보편적 사회적 시민권 개념을 지향할 수 있는 개연성을 보이고 있다. 또한 ‘경제’ 관련 교육과정과 교재들은 두 시민권 개념 사이에서 중립을 지키고 있지만, 개인의 경제적 자립을 강조하는 ‘금융’에 대한 서술은 선별적 복지를, 다문화주의에 대한 우호적인 서술은 보편적 복지에 대헌 선호도를 보이고 있기도 하다. 그러나 시민의 권리 일반은 물론 사회적 시민권(혹은 사회권, 복지권, 사회보장권)에 상응하는 공민의 기본 책무에 대해선, 분석한 교육과정과 22권의 교재에서 거의 언급을 찾아볼 수 없다. 이렇게 의무보다 권리로서의 사회적 시민권을 훨씬 더 강조한 측면에서는 선별적 보다는 보편적 사회적 시민권 개념이 더 강하게 드러나고 있다.This study, utilizing the concepts of liberalism, republicanism, and social citizenship, analyzes the 2015 social studies curriculum and its 22 major high-school textbooks. It thereby explores how an individual’s liberal civil rights and his/her republican civil duties are intertwined around the idea of welfare and social citizenship in the context of the market, society, and the state. The notion of social citizenship appears to be legitimized as a social right by the Constitution. Its founding ideology (social democracy) supports the idea of universal social citizenship, while its forms&#8212;the social welfare system&#8212; contains notions of both selective and universal ones. However, the emphasis on the merits of ‘productive welfare’ shows a preference for the concept of selective social citizenship, while the discussion of the feasibility of ‘basic income’ is in favor of that of universal one. In addition, the explanations of the economy looks neutral between the two notions of social citizenship. However, those on finance are apparently pro-selective welfare while those on multiculturalism surely pro-universal one. In both the curriculum and the 22 textbooks analyzed, however, little mention can be found regarding republican or communitarian duties directly corresponding to liberal civil rights in general and social citizenship as a social right in particular. In this regard, the notion of social citizenship is presented as a right rather than a duty and thus appears to be universal rather than selective.
LibGuides: JSU Digital Commons | Guide for Faculty: Policies & Documentation

This guide provides detailed information for faculty on how to upload their scholarship to the repository, manage their accounts, and search JSU Digital Commons.
Composition as Commentary: Voice and Poetry in Electroacoustic Music

What is the role of a spoken or sung text in an electroacoustic composition? Does it represent anachronism, assigning the role of communication to the voice and thereby depriving more abstract electroacoustic material of its rhetorical force? Does the disembodied, electroacoustic voice distance the audience from the communicative power of the words that are heard? Although Simon Emmerson argued that the disembodied human voice in acousmatic music can often seem frustrating, this sense of disembodiment might be turned to the composer’s advantage, as the basis of a methodology for creative practice. In the process of developing a methodology to address questions of text, language, voice, and electroacoustic technology, I created two musical compositions. Both works used the untranslated words of an enigmatic Old English poem, ‘Wulf and Eadwacer’. At first glance, the idea of using a text in an obscure or ancient language that carries little or no semantic meaning for the listeners might raise further questions. Is this a deliberate attempt at obfuscation, hiding the paucity of the composer’s ideas behind a veneer of archaism or even naive exoticism? As my investigation progressed, I began to envisage the process of electroacoustic composition as a type of non-linguistic commentary on a text. Rather than hindering the listener’s understanding of a composition inspired by literature, the electroacoustic voice might help to reveal different interpretations of a text, allowing multiple ideas and identities to be heard.
A Comparative Study of Foreign Language Education Policies Between China and the United States From the Perspective of National Interests

Based on the theory of educational policy, this paper constructs a theoretical analysis framework of foreign language education policy, which makes a comparative analysis of foreign language education policies in China and the United States from three dimensions—the process, content and value of foreign language education policy. We should learn from the advanced experience of the United States and reflect on the research of foreign language education policy in China so as to make suggestions.
Optimum data collection and fusion schemes in WBSN

In this paper first we define our strategies aiming at minimising number of communicated data while keeping data integrity in wireless body sensor networks (WBSNs). In this way, we introduce modified Fisher test, develop Spline interpolation as the behaviour function and define controlling parameters. To achieve at significant results, we propose three efficient algorithms. Furthermore, at the second step, we represent our method to calculate the priority of vital sign data packets. For this purpose, we employ Spline interpolation function and define six new controlling parameters. At the third step, for correct inference of patient's situations we introduce our method which develops adaptive neuro fuzzy inference system (ANFIS) with cross-validation. Simulation results in MATLAB R2018b demonstrate the optimum performance of our schemes for number of communicated data, network lifetime, priority based data communication and also correct inference of patient's situations.
Online Analytical Processing

Chapter Objectives✓ To understand the need for online analytical processing✓ To distinguish OLAP from OLTP and data mining✓ To comprehend the representation of multi-dimensional view of data✓ To understand and apply the concept of data cube in real world applications✓ To implement multi-dimensional view of data in Oracle✓ To understand different types of OLAP Servers such as ROLAP and MOLAP✓ To able to perform different OLAP Operations on the database
An Improved Particle Swarm Algorithm with Heuristic Factors and Empirical Operators

Abstract An improved particle swarm algorithm (PSA) is proposed based on the universal framework of the intelligence optimization algorithms (IOA). Regarded as increment to the standard PSA, the improved PSA takes the essence of the standard PSA, and additionally utilizes various heuristic factors and different empirical operators introduced by multiple other IOA. The capability of global and local optimization can be strengthened by the free search, the differential evolution and the quantum rotation comprehensively. The genetic variation is adopted to avoid premature convergence, while the greed strategy is adopted to guarantee monotonous convergence. The numerical simulation indicates that the improved PSA achieves better performance than the standard PSA.
Identify Elementary Student Distribution Based on Kompetisi Sains Madrasah Data Using Probabilistic Distance Clustering

Indonesia is a developing country. The quality of human resources also influences the development of a country. The quality of education is one of the benchmarks for the quality of human resources. The quality of human resources can be seen from the quality of education. Improving the quality of education can be done in various ways. One effort designed to improve the quality of education in Indonesia is the provision of educational competitions in each region in Indonesia, and Kompetisi Sains Madrasah (KSM) is one of the pre-eminent competitions that have been designed. From the KSM Competition, a set of student scores is obtained which is a sample of the quality of education in each province. The number of students in educational institutions, especially elementary schools, is increasing which causes the data of students in the system to improve. The data can be grouped based on ability. Grouping is done using PD clustering. This method is one of the hierarchical grouping methods that have good performance. The cluster of students’ abilities is very helpful in finding out educational information in the regions making it easier for parties to do special handling. The results of clustering using PD clustering show that three clusters represent the distribution of student’s abilities with a silhouette coefficient of 0.5384 and a standard deviation of 0.3506 for mathematics subjects. Silhouette coefficient is 0.4351 and standard deviation is 0.4688 for science subjects.
Supporting Modularity in Simulink Models.

Model-Based Development (MBD) is widely used for embedded controls development, with Matlab Simulink being one of the most used modelling environments in industry. As with all software, Simulink models are subject to evolution over their lifetime and must be maintained. Modularity is a fundamental software engineering principle facilitating the construction of complex software, and is used in textual languages such as C. However, as Simulink is a graphical modelling language, it is not currently well understood how modularity can be leveraged in development with Simulink, nor whether it can be supported with current Simulink modelling constructs. This paper presents an effective way of achieving modularity in Simulink by introducing the concept of a Simulink module. The effectiveness of the approach is measured using well-known indicators of modularity, including coupling and cohesion, cyclomatic complexity, and information hiding ability. A syntactic interface is defined in order to represent all data flow across the module boundary. Four modelling guidelines are also presented to encourage best practice. Also, a custom tool that supports the modelling of Simulink modules is described. Finally, this work is demonstrated and evaluated on a real-world example from the nuclear domain.
The Teaching Reform of Compiling Principle Based on System Ability Training

&lt;p&gt;In this paper, the computer class curriculum goal, content the present situation of computer teaching have been analyzed in computer related ability and the overall goals are set up on the basis of the current education teaching reform efforts, from the aspects such as teaching contents, methods and practice, the compiling principle teaching, indepth studies and finally it attempts to the construction of teaching system and elaborates the implementation process&lt;/p&gt;
Security Education for Sustainable Development and Peaceful Coexistence in Southwest Nigeria

Security education is necessary to combat the security challenges of 21st century in Africa. This paper, therefore, examined the concept of security education and peaceful coexistence that can unite people and useful for sustainable development. The paper further identified the challenges and educational approaches that can be used to manage security in Nigeria. This study examined the level of security education for sustainable development in Southwest Nigeria, also examined was perceptions of male and female citizens on peaceful coexistence. The research adopted descriptive research of the survey type. The population consisted of all citizens in Southwest Nigeria. The sample of the study consisted of 200 respondents selected using multistage sampling procedure. The instrument used to collect data was a questionnaire titled“ Assessing the level of Security Education and Peaceful Coexistence in Nigeria Questionnaire (ASEPCQ)”. The validity of the instrument was established through face and content validity, while the reliability of the instrument was determined using Cronbach’s alpha method and reliability co-efficient of 0.75 was obtained. The data collected were analyzed using descriptive statistics of percentage, mean and standard deviation, and inferential statistic of t-test for research hypotheses. The study revealed that the level of security education in Southwest Nigeria is low; also, the level of peaceful coexistence is high, and there is no significant difference between perceptions of male and female citizens on security education and peaceful coexistence in Southwest Nigeria. It was recommended that government should intensify their effort on providing adequate information on security education for the citizens, and necessary machineries should be put in place to enhance peaceful coexistence among the education, educational approaches, peaceful coexistence, security, sustainable development, citizens.
CNN Architecture for Surgical Image Segmentation with Recursive Structure and Flip-Based Upsampling

Laparoscopic surgery, a less invasive camera-aided surgery, is now performed commonly. However, it requires a camera assistant who holds and maneuvers a laparoscope. By controlling the laparoscope automatically using a robot, a surgeon can perform the operation without a camera assistant, which would be beneficial in areas suffering from lack of surgeons. In this paper, a prototype image segmentation architecture based on a convolutional neural network (CNN) is proposed to realize an automated laparoscope control for cholecystectomy. Since a training dataset is annotated manually by a few surgeons, its scale is limited compared to common CNN-based systems. Therefore, we built a recursive network structure, with some sub-networks which are used multiple times, to mitigate overfitting. In addition, instead of the common transposed convolution, the flip-based subpixel reconstruction is introduced into upsampling layers. Furthermore, we applied stochastic depth regularization to the recursive structure for better accuracy. Evaluation results revealed that these improvements bring better classification accuracy without increasing the number of parameters. The system shows a throughput sufficient for real-time laparoscope robot control with a single NVIDIA GeForce GTX 1080 GPU.