Reviewerly/exHarmony huggingface dataset:
Aspek Sosial Dalam Novel Bulan Di Langit AthenaKarya Zhaenal Fanani: Tinjauan Sosiologi Sastra danImplementasinya Pada Pembelajaran Sastra Di SMA

This study aims to (1) describe the structure that builds novel Moon on the Sky Athens Zhaenal Fanani work. (2) describe the social aspect to the Moon in the Sky Athens novel approach sociology of literature. (3) and describe an implementation of novel Moon on the sky of Athens on learning literature at the high school. Research using qualitative descriptive method with the social aspects of research objects contained in this novel. This research data is a phrase, sentence, and discourse contained in the novel Moon in the Sky Athens. Source data can be divided into two, namely primary and secondary data sources. The primary data source is the novel Moon in the Sky Athens and secondary data sources are literary and biographical data source Zhaenal Fanani, internet. Engineering literature, see, and record are used as data collection techniques in this study. Data validation techniques in this study using data triangulation. Data analysis techniques in this study using analytical techniques dealektika. Based on the results of research conducted, it can be seen that (1) the structure of the building novel Moon in the Sky Athens consists of a theme and the fact the story. The theme in the novel is the power of the love of a young girl living with HIV / AIDS. The main character in the novel Moon on the sky of Athens is Amiq Queen Shobo and some additional characters family, friends, and lovers. Grooves contained in this novel is the flow of the mixture. Background place on the Moon in the Sky Athens novel is Indonesia, France, and the city of Athens, Greece. The story in this novel lasted for twenty-one years. Social background in the novel is the atmosphere of life in rural and urban contrast. (2) social aspects contained within the novel Moon on the Sky Athens in terms of sociology of literature is divided into four factors: economic factors, cultural factors, biological factors and psychological factors. (3) the results of this study can be implemented on learning in high school literature class XI 1st half.
Approach to the Management of Implicit Knowledge in A High-Tech Enterprise: Requirements for Professional Competences (Based on Case Study)

The study has three research objectives: 1) Definition of the role of implicit knowledge in the knowledge system of a high-tech enterprise. 2) Determination of methods of protection of implicit knowledge in a high-tech enterprise. 3) Formation of requirements to professional competencies of the head of high-tech enterprises in the field of implicit knowledge management. The analysis of theoretical sources is carried out in five significant areas of research: the result is a characteristic of explicit and implicit knowledge with their differentiation on eight grounds. The case study was conducted at a Russian high-tech enterprise with the development of tools for managing implicit knowledge. The result is the formation of requirements for professional competence of the head of a high-tech enterprise in the field of management of implicit knowledge as a part of the concept of leadership.
Cloud security concern and risk management in cloud banking

Cloud computing is a technology that uses the internet and central remote servers to maintain data and applications. Cloud computing allows consumers and businesses to use applications without installation and access their personal files at any computer with internet access. This technology allows for much more efficient computing by centralizing storage, memory, processing and bandwidth. The main empower technology for cloud computing is virtualization. Virtualization software unconnected an external computation contrivance into one or more virtual devices, each of which can be smoothly usage and direct to execute computing work. With operating system level virtualization really creating a scalable system of multiple easy figure devices, idle computing funds can be place and used more effectively. Virtualization contribute the agility enjoin to hurry up IT operations, and abate side by increasing infrastructure use. Autonomic enumerate automatic the process through which the use can provision means on-summon. By minimizing user involvement, automation speeds up the process, reduces industry costs and subject the contingency of man errors.
A Comparative Study of KMCG Segmentation Based on YCbCr, RGB, and HSV Color Spaces

Kekre Median Codebook Generation (KMCG) is a vector quantization algorithm. It is used for several purposes like image compression and segmentation. It has been applied by several application and shows its efficiency. This paper presents a comparison study of applying KMCG with three color models: RGB, YCbCr, and HSV for image segmentation. The experiments applied on five images, three of them are benchmarks. Two numerical metrics are utilized: E measure and Peak Signal to Noise Ratio (PSNR), in addition to the visual results. The final results show that KMCG conducts better segments when it is applied with the RGB color model. It returns more homogenies segments than using KMCG with YCbCr or HSV.&#x0D;
AIS: Artificial Intelligent Soccer

This paper describes the current development status of our SSL team, AIS.Throughout this document, we present the design and implementation we have got so far, showing the electrical, mechanical and software topics involved in our work, which were designed according to satisfy the RoboCup rules.In addition of giving details on the current development, we present some insights on the main challenges that have been identified and tackled in recent years with the consolidation of this team, in order to foster other forming groups around the globe.
Student Public Initiative As A Factor Of Social Identity Development

The authors discuss the process of social identity development as outputs and results of complicated social relations and impacts. In the authors’ opinion, the modern system of socio-existential self-presentation, both of individuals and a community, loses its former definiteness and becomes an object of construction both on their own part and on the part of external subjects. It is revealing that social identity development is influenced by the interaction type of a person’s social and individual being. Moreover, the correlation between the real and the possible is the expression of the individual’s activity and social productivity, a measure of the development and manifestation of the individual’s socialness. Under these conditions it is the system of higher education that is aimed at the development of students’ social (including civic) interaction skills with governmental and political structures, as well as at at students gaining the experience of implementation and development of public initiatives essential for social development. Based on detailed analysis, a description of the socio-pedagogical potential of student public initiatives is presented along with the main stages and ways of their implementation in the practice of developing students’ social identity and prosocial skills. A young person’s ability to take the initiative is seen as an indicator of the level of his/her social activity in future.
A Pragmatic Analysis of Assertive Utterances in Aung San Suu Kyi’s Exclusive Interview

This research focuses on assertive utterances which are uttered by Aung San Suu Kyi. The aims of this study are to describe the types of focuses of assertive utterance, to describe the implicature of assertive utterance, and to explain the maxim flouted. The data are taken from utterances containing assertives which are uttered by Aung San Suu Kyi in the BBC news entitled “State Counsellor: Some Success, But We Are Not Home and Dry Yet”, and NHK World Japan news website entitled “Exclusive: Interview with Aung San Suu Kyi”. The researcher uses Kreidler’s theory to analyze the focuses of assertive utterance, Grice’s theory of implicature and Brown and Levinson’s theory of speech context, and also Grice’s theory to identify the flouting maxim. The findings of this research show that (1) Types of focuses found are focus of information, focus on manner of communicating, and focus on the aspect. (2) The most dominant implicature found in the interview done by Aung San Suu Kyi is conventional implicature because the reader can make their own interpretation directly from the grammatical form and vocabulary. (3) There are two flouting maxims which have equal amount namely, flouting maxim of quantity and flouting maxim of manner.
INFORMATION AND COMMUNICATION TECHNOLOGY AND CRIME CONTROL IN CALABAR METROPOLIS, CROSS RIVER STATE, NIGERIA

The purpose of this study was to examine the role of ICT to crime control in Calabar Metropolis, Cross River state, Nigeria. Two null hypotheses were formulated based on the identified major variables – Closed-circuit Television (CCTV), and Mobile phone. The study was sustained on technology determinism theory and diffusion of innovation theory. The research design adopted was cross sectional survey design. Data for testing the hypotheses were generated using a 24-item questionnaire titles “questionnaire on ICT and crime control” (QICTCC). Data were collected from 537 respondents through multi-stage sampling techniques from the two local governments that make up Calabar Metropolis. The generated data were statistically tested using Pearson product moment correlation coefficient. The test hypotheses revealed that there is a significant relationship between CCTV, mobile phone, and crime control in Calabar Metropolis, Cross River State, Nigeria. It was concluded that information and communications technology plays an important role in crime control. The study recommended among others that: the government should install Closed circuit television (CCTV) cameras on public highways and in shopping malls and parks. CCTV operations will help to remotely monitor premises without having to have police officers engaged in long-term operational surveillance. It will help in emergency response, patrol management, individual and vehicle tracking and gunshot detection. In addition, the government should make larger allocation of resources, particularly financial, to the research and development of the technologies that will make a significant contribution to fighting crime and improving the workings of criminal investigation in the future. Article visualizations:
Controlling the transverse flow of light in a high-finesse optical microresonator

Controlling the flow of light is a fundamental requirement for quantum simulations with light. We have recently introduced two novel direct laser writing methods for the microstructuring of mirrors, which allow us to control the transverse flow of light in a high finesse optical microresonator [1]. In particular, it is possible to capture photons onto periodic lattices sites and to control their tunnelling rate. In future work, this will enable optical simulations of classical spin systems. In particular, we aim at a device that is capable of finding the ground state of spin glass systems, which is a well-know computationally hard problem, faster than any other computer. [1] D. Dung, C. Kurtscheid, T. Damm, J. Schmitt, F. Vewinger, M. Weitz, and J. Klaers, “Variable potentials for thermalized light and coupled condensates”, Nature Photonics 11, 565 (2017).
Implementation of Augmented Reality applications to recognize Automotive Vehicle using Microsoft HoloLens : Performance comparison of Vuforia 3-D recognition and QR-code recognition Microsoft HoloLens applications

Context. Volvo Construction Equipment is planning to use Microsoft Hololens as a tool for the on-site manager to keep a track on the automotive machines and obtain their corresponding work informat ...
IRINS: The Indian Research Information Network System

27 slides.-- Presentation delivered at the 2nd International Conference “Changing Landscape of Science & Technology Libraries (CLSTL2019) held Feb 28-Mar 2, 2019 at the Indian Institute of Technology Gandhinagar, India.
Adaptive Weight Collaborative Complementary Learning for Robust Visual Tracking

Discriminative correlation filter (DCF) based tracking algorithms have recently shown impressive performance on benchmark datasets.However, amount of recent researches are vulnerable to heavy occlusions, irregular deformations and so on.In this paper, we intend to solve these problems and handle the contradiction between accuracy and real-time in the framework of tracking-by-detection.Firstly, we propose an innovative strategy to combine the template and color-based models instead of a simple linear superposition and rely on the strengths of both to promote the accuracy.Secondly, to enhance the discriminative power of the learned template model, the spatial regularization is introduced in the learning stage to penalize the objective boundary information corresponding to features in the background.Thirdly, we utilize a discriminative multi-scale estimate method to solve the problem of scale variations.Finally, we research strategies to limit the computational complexity of our tracker.Abundant experiments demonstrate that our tracker performs superiorly against several advanced algorithms on both the OTB2013 and OTB2015 datasets while maintaining the high frame rates.
Improvement of the training level of environmental professionals by environmental monitoring skill competition

The cultivation of innovative technical practical ability is the essential work of environmental undergraduate professional education.Through the leading role of environmental monitoring skill competition in environmental monitoring courses, the course construction of environmental undergraduate majors is constantly promoted through competition to promote reform, construction and teaching, and the combination of teaching and competition, so as to enrich the content and form of course teaching and improve the professional level of professional teachers, so as to realize the overall improvement of the comprehensive quality of students majoring in environmental monitoring.
The Speech Function in Buru Folk Songs in Maluku Province

The aims of this study were to find and describe (1) the declarative, (2) the expressive, (3) the commissive, (4) the directive, and (5) the assertive speech functions in the folk songs of Buru Island, Maluku Province.This research belonged to a descriptive qualitative study.The research data was in the form of folk song texts, informant statements, and facts in the research location.Data collection activities were carried out by observation techniques, in-depth interviews, and recording.The procedure of data analysis used a spiral model proposed by Creswell, while the agih method was used to analyze the data.To avoid research bias, triangulation was carried out on each stage of research, research tools, and clarification of research findings to the informants as owners of the folk songs, Focus Group Discussion, and external audits.The findings of this study, namely the speech function in Buru folk songs were in the form of (1) declarative speech function prohibiting, (2) expressive speech functions praising, (3) commissive speech functions threatening, (4) speech function directive recommending, and (5) assertive speech function convincing.Theoretically, this study strengthens speech act theory because the findings of this study indicate that speech functions actualize narrative attitudes and styles.Practically, this finding is useful for universities that are related to teaching oral literature courses and pragmatic subjects.
High School Girls Go CyberStart Initiative

PDF Version DATE: February 28, 2019 SUBJECT: High School Girls Go CyberStart Initiative CATEGORY: Cybersecurity Continued Education and Scholarship Opportunity
Optimization-based Image Watermarking Algorithm Using a Maximum-Likelihood Decoding Scheme in the Complex Wavelet Domain

Most existing wavelet-based multiplicative watermarking methods are affected by geometric attacks to a certain extent.A serious limitation of wavelet-based multiplicative watermarking is its sensitivity to rotation, scaling, and translation.In this study, we propose an image watermarking method by using dual-tree complex wavelet transform with a multi-objective optimization approach.We embed the watermark information into an image region with a high entropy value via a multiplicative strategy.The major contribution of this work is that the trade-off between imperceptibility and robustness is simply solved by using the multi-objective optimization approach, which applies the watermark error probability and an image quality metric to establish a multi-objective optimization function.In this manner, the optimal embedding factor obtained by solving the multi-objective function effectively controls watermark strength.For watermark decoding, we adopt a maximum likelihood decision criterion.Finally, we evaluate the performance of the proposed method by conducting simulations on benchmark test images.Experiment results demonstrate the imperceptibility of the proposed method and its robustness against various attacks, including additive white Gaussian noise, JPEG compression, scaling, rotation, and combined attacks.
Swedish Fund Market Inefficiencies : A study investigating the effects of a blockchain implementation on efficiency

This paper tries to identify what the fund market inefficiencies are, and how the introduction of a blockchain fund market solution can support the Swedish fund market and allow for taking the next ...
Sistem Pendukung Keputusan Penerimaan Bantuan Beras Miskin Menggunakan Metode AHP (Analytical Hierarchy Process) Pada Kecamatan Banawa

The rice program for poor families or commonly known as Raskin is one of the government's efforts to reduce the burden of expenditure on poor families. The Raskin program is to reduce poverty and maintain the food of economically disadvantaged people so that all parties are expected to participate in the success of this program so that it can be implemented properly and is beneficial to the community. In general, the problems that occur in the assistance of Poor Rice assistance are still not optimal, because at the time of selection of poor rice recipients there is no system that supports so that during the selection process still using estimates only and there is no calculation at the time of selection of poor rice recipients. So that few or many people sometimes protest because people are supposed to get help but they don't get the assistance, and vice versa. The purpose of this study is to help the committee to receive poor rice assistance in selecting people who are entitled to receive assistance, especially in the district of Banawa. The research method used is the software development method using the prototype method and decision-making method using the AHP (Analytical Hierarchy Process) method. Based on the results of testing conducted with the black box technique, the results show that the decision support system for receiving poor rice assistance can help the sub-district, especially the committee in selecting poor rice aid recipients, by comparing the criteria for each alternative and showing the value the highest of alternatives means that the alternative is the main choice for receiving poor rice assistance.
Generating a Referent Graph from Semantics of Business Vocabulary and Business Rules

This paper presents a novel approach to generate a referent graph for semantic business vocabulary and rules. Graphs have many applications in social media, Google map and search engine to locate a specific goal. In social media websites, friends are linked to other friends, Google map help to search a specific location, path and distance from specific location, search engine are used to make a specific search, all these task are performed by used of referent graph. Semantic business vocabulary and rules are the standards from object management group for the business organization to form the polices and rules. On the based of these rules business organization develop different software from software industry to make transaction globally. But these rules are complex and ambiguous, cause misunderstanding and miscommunication for the software developer. Our used approach give the solution of this problem, to make a representation of semantic vocabulary and rules in form of referent graph, visual representation of these rules.
A New Non-local Mean Method for the Image Denoising of Coal Dust

In the process of coal dust image collecting and transmitting, it is inevitable that it will be interfered by noise. The denoising effect of image is crucial for the segmentation and recognition of image behind. The denoising effect of image is better based on the non-local mean denoising algorithm. However, the exponential weighted kernel function is used in the traditional non-local mean filtering algorithm, which tends to cause the image details to be blurred due to excessive smoothing. Therefore, according to the exponential weighted kernel function, a new non-local mean image denoising algorithm is designed by using the Gaussian kernel function of weighted of cosine coefficient, and applied to the weighting coefficient calculation. The experimental results show that the denoising performance of the algorithm is better than the traditional algorithm and can better preserve the details of coal dust image.
A mathematical model for grading clouds to study solar flares based on fuzzy c-means algorithm

Food insecurity in Nigeria and the need for effectual mitigating measuresThe downward slide in Nigeria's food production has gradually led the country into becoming a food-deficit, food importing Nation because of the discovery of petroleum.Nigeria has degenerated into a significant food importing nation because the government neglected the agricultural sector for petroleum which is seen as a much viable resource income.As a consequence, the country is plunged into food insecurity because of rising prices of imported foods.Presently, Nigeria faces food shortage challenges and hunger.Before we can adequately address the underlying problems plaguing the food security system, we need to address the factors influencing agricultural development and sustainability in the economy with a view to improving on food security.Any policy design to tackle this should include inputs supply channels, technology improvement avenues and, credits and subsidies that are not cumbersome and needed.Until we see food insecurity as a gross abuse of human right, the paradigm shift advocated may never be attained.
Hyper-Chen chaos-based frequency domain shifting and time domain scrambling for physical-layer encryption in CO-OFDM

We propose frequency domain shifting and time domain scrambling method based on 4D hyper-Chen chaos to improve physical-layer security of CO-OFDM systems. The proposed encryption scheme has key space of 10<sup>429</sup> and can combat exhaustive attacks effectively.
p-bits: Bridging the gap between standard bits and q-bits

Researchers introduce probabilistic bits, which have the potential to advance quantum computing and machine learning using existing technology.