Reviewerly/exHarmony huggingface dataset:
English Training For Sunday School Of Gmim Tabur Kasih Malalayang Manado

Facing era of globalization needs people to prepare human resources mainly in the sector of science and technology. To have a good mastery of technology someone requires sufficient knowledge in facing global world needs which is known as a competitive era. In this case,the role of English or other foreign languages is very important in mastering communication technology or even for direct communication using English. English is not only fulfilling academic purposes since the mastery is only focused on the knowledge of the language itself, however it is used as a tool of global communication. This supports the Indonesian government program of Visit Indonesia and Pesona Indonesia for the purpose of developing the prosperity of Indonesian society. As cityzens of Manado, the capital city of North Sulawesi, is supporting the program by giving special attention to the early age of school; Sunday School Children of Tabur Kasih Malalayang teaching them simple and practical English sentences and vocabularies. English Nursary Rhymes including songs were chosen as teaching media. This training was aimed at giving the children simple English sentenses and vocabularies. The training was done in Manado Tabur Kasih Congregation attended by 30 children. Keywords: English training, Sunday School Children
Secure Distributed Data using Multi-Cloud

Implementing cloud computing provides many paths for web-based service. But, data security and privacy requirement become an important problem that limits several cloud applications. One of the key security and privacy concerns is the fact that cloud service suppliers have access to data. This concern greatly reduces the usability of cloud computing in many areas, such as financial business and government agencies. This paper focuses on this important issue and suggests a new approach, so cloud providers cannot directly access data. The proposed approach is divided into two sides: upload side and download side. In upload side, there is three stages, at the first stage; the transmitted file is splitted and then encrypted in order to achieve the data security requirement. At the second stage, the splitted data are integrity checked by MD5 algorithm, in order to achieve integrity requirement. At the third stage, the checked splitted data are stored separately in three -clouds, in order to achieve distribution requirement. In download side, also there is three stages. At the first stage, the data is retrieved from the three-clouds. At the second stage, data integrity is performed using MD5. At the third stage, data decryption and merging are done. The proposed approach is successfully implemented on (25 KB) image. The proposed model is successfully implemented in uploading side dependent on shares3 because provide high security with total time of (8.144 sec), and in downloading side with total side of (9.42).
Energizing students’ academic writing competence through research group activity

Manuscript on pages 1 to 9 published in this journal is retracted or deleted because the same manuscript was submitted and published in another online journal. Withdrawal of manuscripts also upon request and notification from the script author (Editor of JASL). September 29, 2019, at 6:25 PM,&nbsp; an email was sent to the Editor of the Journal of Applied Studies in Language (shortened into JASL). This was about an inquiry of one of the authors of a manuscript or research article published by JASL, in which I am a chief editor of the journal, in order to withdraw the author's manuscript. A prompt reply was sent as a response to the inquiry that the withdrawal will be executed after another manuscript was sent to substitute the manuscript was published in June 2019. The author informed the editor since the same manuscript was published in another journal. The author promised to write another manuscript as a replacement for the previous manuscript, but unfortunately, the long-awaited manuscript did not arrive and was received by the journal editor until finally, the manuscript had to undergo a manuscript withdrawal process from the journal publication. &nbsp; &nbsp
Text messaging forensics

This chapter examines the theoretical bases for forensic authorship analysis by considering a murder case where evidence was provided by Malcolm Coulthard. Jenny Nicholl had disappeared on 30 June 2005 and Coulthard’s linguistic analysis suggested that she was unlikely to have texted the final messages sent from her phone and that her estranged lover, David Hodgson, was one of a small group of possible authors. Hodgson was convicted of Jenny’s murder in 2008. Starting from this practical application I examine theories of authorship and of the linguistic individual from a cognitivist and a stylistic perspective and argue that, although cognitivist theories might be better at explaining within-author consistency, they struggle to explain between-author variation, whereas stylistic theories provide potentially convincing explanations for variation between authors but have less to offer when considering why an author might stay stylistically constant across time or social situations. I explore how debates about idiolect can be avoided by simply applying the ideas of consistency and distinctiveness and demonstrate a method through which this can be measured. I report how Coulthard’s approach was supported in Hodgson’s appeal hearing and how both the theoretical positions and the empirical methods have been further developed in subsequent work.
Reinforcement based Multi-Model Deep Learning Algorithm for Classification

Nowadays researchers are focused on processing the multi-media data for classifying the queries of end users by using search engines. The hybrid combination of a powerful classifier and deep feature extractor are used to develop a robust model, which is performed in a high dimensional space. In this research, a three different types of algorithms are combined to attain a stochastic belief space policy, where these algorithms include generative adversary modelling, maximum entropy Reinforcement Learning (RL) and belief space planning which leads to develop a multi-model classification algorithm. In the simulation framework, different adversarial behaviours are used to minimize the agent's action predictability, which has resulted the proposed method to attain robustness, while comparing with unmodelled adversarial strategies. The proposed reinforcement based Deep Learning (DL) algorithm can be used as multi-model classification purpose. The single neural network algorithm can perform the classification on text data and image data. The RL learns the appropriate belief space policy from the feature extracted information of the text and image data, the belief space policy is generated based on the maximum entropy computation.
Classification of Pedestrian using Convoluted Neural Network

We present our work based on classification of pedestrians into a single person and group of people using Convoluted Neural Network (CNN). Major work was done on classification-based feature extraction techniques before CNN is applied to it. CNN can classify objects without extracting the features. Here, we have set up a complete channel for pedestrian detection using sliding window approach and classification using a CNN network. Alex Net and ResNet are the two architectures used in CNN for implementing the classification algorithm. Performance is evaluated on the PET and Caltech dataset which consists of a number of people who are walking with a group or separately in the scene. We got the optimistic results in case of small dataset used for testing. We have also tested our algorithm over large dataset to verify its performance with the help of performance evaluation metrics.
Creating a Stand-Alone Web App, Part 1

In this part of the book, I show you how TypeScript fits into the development process for the three most popular web application frameworks: Angular, React, and Vue.js. In each case, I go through the process of creating the project, setting up a web service, and writing a simple web application. In this chapter, I create the same web application without using any of these frameworks, providing a baseline for understanding the features they provide and context for how TypeScript features are used.
A Study on Young People's Environmental Awareness

The study of ecological consciousness as a system of interrelated structural components of mentality, expressed in the awareness of the individual’s attitude towards the surrounding reality, is currently relevant due to the contradiction between the need to develop the ecological culture of the subject of activity and the insufficient level of socio-ecological activity. The study is aimed at defining the specific traits of ecological consciousness among today’s students. The main research method is a survey, the data of which has been processed by the means of mathematical statistics. The methodological foundations of the research are the provisions on the integral structure of ecological consciousness (system level), on the reflexion as a process of individuality self-consciousness and personal unity of the inner world with the outer world around it; on the structuralism of the psychological phenomenon, which implies that the system of ecological consciousness is conditioned by the properties of structure, according to hierarchical specificity. The study has resulted in the revelation of trends in affective, reflexive and motivative constituents of ecological consciousness. The substance of ecological consciousness components has been defined. The cognitive-evaluation component manifests itself in the dynamics of the development of environmental competence; evaluation of the results of socio-environmental activities. The reflexive component is characterised by the ability to recognise the fresponsibility for one’s actions in the world around us. The affective component is determined according to the development of positive emotions in connection with socio-environmental activities. The motivational component manifests itself in the dynamics of the motives of the activity to transform the surrounding reality. The regulatory-behavioural component is represented in student youth by a set of active actions to transform their immediate environment. The novelty of the research consists in determining the peculiarities of the relationship between personal characteristics and the level of development of the ecological consciousness of young people, the specificity of the content of the components of ecological consciousness.
Browserify

Browserify is a JavaScript module loader that works around the language’s current lack of support for importing modules within the browser by serving as a “pre-processor” for your code. In much the same way that CSS extensions such as SASS and LESS have brought enhanced syntax support to stylesheets, Browserify enhances client-side JavaScript applications by recursively scanning their source code for calls to a global require() function. When Browserify finds such calls, it immediately loads the referenced modules (using the same require() function that is available within Node.js) and combines them into a single, minified file—a “bundle”—that can then be loaded within the browser.
“Towards A Fuzzy Logic Rule Based Prediction for Effective Adoption of E-Procurement System on Cloud Environment”

E-Procurement Solution on Cloud Platform is a cost efficient method to get better buyers and sellers relationship. This will brought a new revolution in the field of E-Procurement. In this paper author has emphasized on effectiveness of cloud based e- Procurement and also suggested the prediction based on fuzzy method to quantify it, here an algorithm has been given and related guideless for cloud e- Procurement. In this paper algorithm and guidelines are based on quality and security criteria for migration of the traditional ERP based system to Cloud based e procurement systems has also been delivered. The fuzzy based algorithms have been validated by applying it to a MATLAB. This piece of writing will show the consequence of cloud environment acceptance on e procurement system in the fast increasing industry, as an benefit of this mechanization continue to develop, business will pay out less on multifaceted systems, it will make available better way of communication.
Creating Structural Directives

Structural directives change the layout of the HTML document by adding and removing elements. They build on the core features available for attribute directives, described in Chapter 15, with additional support for micro-templates, which are small fragments of contents defined within the templates used by components. You can recognize when a structural directive is being used because its name will be prefixed with an asterisk, such as *ngIf or *ngFor. In this chapter, I explain how structural directives are defined and applied, how they work, and how they respond to changes in the data model. Table 16-1 puts structural directives in context.
Digitalization of production in Altium Designer software

A method for modeling and printed circuit board layout in the form of a 3D model in one of the digital solutions designed for this task, Altium Designer, is proposed. The practical significance of the work is the study of the basic software libraries in terms of their creation, filling and application when working with the project, as well as of the algorithm for constructing an electrical circuit in the Altium Designer program, layout and design of the simplest circuit on the board. In the course of the work, the algorithm and rules for creating a library of three-dimensional models of components, a library containing conditional graphic designations of the corresponding components, a schematic diagram of the device, a three-dimensional model of the board and the construction of conducting tracks on it are described. The components and circuits used in the work are publicly available on the Internet, which allows anyone to work over the entire algorithm for studying and honing the skills of designing printed circuit boards, both by students studying at a higher educational institution and by fully-fledged specialists. This work can be used not only for teaching students in the field of electronic device development in terms of their design and for organizing laboratory work, but also for creating and designing real devices both in production and within a higher educational institution, for example, for creating a laboratory bench. The introduction and study of this software is carried out at the Department of Radio-Electronic Systems and Complexes of one of the leading engineering universities of the Russian Federation — the Bauman Moscow State Technical University.
Emotionally resonant media

Science fiction has long predicted that technology will develop relationships and interact with humans using emotions, just like other humans do. Technologies that can use emotions in conversations with people are now becoming reality. To do so, technology needs to sense and respond to human emotions and intentions. First, technology should be capable of perception – to understand signals given by the human user, including words, quality of speech and accompanying nonverbal cues such as facial expressions, gestures and posture. The agent would then need to be able to reason about these cues and in relation to its own goals and the users. Finally, the technology needs to be able to translate its resulting decisions into suitable and emotionally rich behaviors. The chapter reviews work on each of these steps in turn: progress toward technology being able to perceive human emotional cues, reason about emotion and generate emotional cues. Finally, we discuss relevant applications for entertainment, education, health and communication.
Receiver Selective Opening CCA Secure Public Key Encryption from Various Assumptions

Receiver selective opening (RSO) attack for public key encryption (PKE) captures a situation where one sender sends messages to multiple receivers, an adversary can corrupt a set of receivers and get their messages and secret keys. Security against RSO attack for a PKE scheme ensures confidentiality of other uncorrupted receivers' ciphertexts. Among all of the RSO security notions, simulation-based RSO security against chosen ciphertext attack (SIM-RSO-CCA security) is the strongest notion. In this paper, we explore constructions of SIM-RSO-CCA secure PKE from various computational assumptions. Toward this goal, we show that a SIM-RSO-CCA secure PKE scheme can be constructed based on an IND-CPA secure PKE scheme and a designated-verifier non-interactive zero-knowledge (DV-NIZK) argument satisfying one-time simulation soundness. Moreover, we give the first construction of DV-NIZK argument satisfying one-time simulation soundness. Consequently, through our generic construction, we obtain the first SIM-RSO-CCA secure PKE scheme under the computational Diffie-Hellman (CDH) or learning parity with noise (LPN) assumption.
Inter and Intra-Cluster Networks Signal Coverage Impact and its Importance for Migration of 3G to 4G Network among Tourism Lake Tana in Bahir Dar -Ethiopia

Tourism is one of the leading economic sources for several countries compared to modern IT industries growth. Ethiopia is one of the leading cultural and tourism revenue-based country, and having huge tourism hot spots for national and international tourist visitors. Specifically, in the Amhara national regional state capital, Bahir Dar, Lake Tana (origin of Blue Nile River) has been very well known to national and international tourists. However, the Lake Tana Basin is still unable to provide sufficient high bandwidth and good signal reception though 3G wireless mobile technology service is deployed. Bandwidth constraint and weak signal strength is creating problems for the society residing and for visitors inand- around many islands of Lake Tana geographical areas. The research work carried out the study for 3G wireless mobile radio access and microwave transmission path link performance in the city and around Lake Tana Basin. Out of two phases of research works, in this paper, we focus the first phase and partly second phase research results for both Inter and Intra- Cluster 3G Network in complete manner. Hence, we analyzed various measures like coverage signal power conditions, various BTSs antenna sizes, geographical mapping issues and other supporting performance parameters. All importance analytical performance study and measures for two major cluster networks both inter and intra-cluster 3G Networks which are geographically located edging curve in and around Lake Tana Basin. Ultimately, complete analysis and results are supported as prime study for Ethiopian Telecommunication Corporation (ETC) technical support before expanding / migrating to 4G from 3G WCDMA network on Lake Tana Basin and also enhance the culture and tourism cost trade -off for both Amhara region of Ethiopia and national wide Ethiopia.
Failures

We have covered several aspects of identity management relevant to an application development project. Writing an application with perfect identity management will be for naught, however, if flaws in your environment or processes introduce a vulnerability, especially one that compromises sensitive identity data. It is often said that one can learn a lot from failure. When it comes to identity management, however, we think it is preferable to learn from others' failures rather than your own! Inspired by George Santayana’s advice about the need to learn from the past, we’ve collected stories of past security breaches and their causes to help you avoid making such mistakes in your environment.
PMD

Poll Mode Driver is one of the most valuable technology contributions from Data Plane Development Kit (DPDK). This chapter discusses the optimization examples such as network interface card (NIC) configuration and performance-tuning tips. DPDK’s poll mode refers to use the dedicated core resource for packet processing, and the core is running in the busy poll mode, without using the interrupt service mechanism. Internet traffic has the tidal effects; sometimes, it beats with human activities; the network traffic may be very low at certain times. When studying instruction optimization, latency and throughput are two known concepts. Both describe the instruction overhead in a context of CPU’s parallel execution units. Batch processing is a big step to achieve performance optimization. DPDK is famous for the performance optimization; the system configuration has a big impact. The memory controller, RAM, and its physical layout affect the system performance. Most NICs generally support multi-queues for packet I/O.
Namespaces

Namespaces provide a way to avoid naming conflicts and to group namespace members into a hierarchy. Any code may be contained within a namespace, but only four code constructs are affected: classes, interfaces, functions, and constants.
Versatile Defacement Detection by Monitoring Video Sequences Using Deep Learning

The main objective of this paper is to detect vandal and vandalism by monitoring recorded video sequences. Vandalism is one of the most commonly occurring crimes in the society that indirectly affects the economy of the country. The proposed algorithm takes in the input from the video extracted from surveillance camera which prevails in public places. Further, it is converted into frames and subtracted with the background to detect the foreground object. The background subtracted image contains both human and non-human moving objects. In order to differentiate human pixels and other moving objects in the video sequence, discriminative features are extracted using deep architecture and classified using SVM classifier. Deep features proved to be highly discriminative when compared with the handcrafted Histogram of Oriented Gradients features. By analyzing the dwell time of the person in the restricted scene and his motion pattern with time and significant change in background vandalism act is declared and the person is considered as vandal. The proposed method was evaluated on the videos collected from You Tube with the contents taken during night time, multiple vandals, car vandals etc.
Don't lose the point, check it: Is your cloud application using the right strategy

Users pay for running their applications on cloud infrastructure, and in return they expect high availability, and minimal data loss in case of failure. From a cloud provider perspective, any hardware or software failure must be detected and recovered as quickly as possible to maintain users' trust and avoid financial losses. From a user's perspective, failures must be transparent and should not impact application performance. In order to recover a failed application, cloud providers must perform checkpoints, and periodically save application data, which can then be recovered following a failover. Currently, a checkpoint service can be implemented in many ways, each presenting different performance results. The main research question to be answered is: what is the best checkpoint strategy to use given some users' requirements? In this paper, we performed experiments with different checkpoint service strategies to understand how these are affected by the computing resources. We also provide a discussion about the relationship between service availability and the checkpoint service.