Reviewerly/exHarmony huggingface dataset:
Improved DNN Robustness by Multi-task Training with an Auxiliary Self-Supervised Task

Abstract While deep neural networks for environment perception tasks in autonomous driving systems often achieve impressive performance on clean and well-prepared images, their robustness under real conditions, i.e., on images being perturbed with noise patterns or adversarial attacks, is often subject to a significantly decreased performance. In this chapter, we address this problem for the task of semantic segmentation by proposing multi-task training with the additional task of depth estimation with the goal to improve the DNN robustness. This method has a very wide potential applicability as the additional depth estimation task can be trained in a self-supervised fashion, relying only on unlabeled image sequences during training. The final trained segmentation DNN is, however, still applicable on a single-image basis during inference without additional computational overhead compared to the single-task model. Additionally, our evaluation introduces a measure which allows for a meaningful comparison between different noise and attack types. We show the effectiveness of our approach on the Cityscapes and KITTI datasets, where our method improves the DNN performance w.r.t. the single-task baseline in terms of robustness against multiple noise and adversarial attack types, which is supplemented by an improved absolute prediction performance of the resulting DNN.
Development of an Inquiry-Based E-Module Assisted by Google Classroom to Improve Learning Outcomes of Class XI Social Students at SMA WR Supratman 1 Medan TP 2021/2022.

The purpose of this research is to develop an inquiry-based e-module that can improve student learning outcomes.Research and development (R&D) of the ADDIE model with qualitative and quantitative analysis techniques.The results of the study indicate that the development of e-modules with qualitative analysis, namely the results of material experts are 91 percent very good, results from media experts are 86 percent very good, the results of design experts are 93 percent very good, and the results of teacher responses are 95 percent very good.While the validation results from students were carried out three times, namely the individual test 95 percent very good, the small group test 95 percent very good, and the large group test 97 percent very good.After the product has been successfully developed, then experimental research, namely the use of inquiry-based e-modules effectively improves student learning outcomes with a one-way t-test, the value becomes 0.000 which means less than = 0.05 so it can be concluded that the posttest value of the experimental class is greater compared to the control class posttest scores, so it can be concluded that the inquiry-based e-module development is effective in improving student learning outcomes.
STATE MANAGEMENT ON SCIENTIFIC AND TECHNOLOGICAL HUMAN RESOURCE DEVELOPMENT IN VIET NAM

In the context of industrial revolution 4.0 and the development of the knowledge economy, scientific and technological human resources are an important resource in scientific and technological development in particular and socio-economic development in general. Therefore, the development of scientific and technological human resources is always concerned by the Communist Party of Vietnam and the Government. In recent years, Vietnam has formulated and promulgated many plans, projects, strategies, legal documents, policies on human resource development in order to renovate state management of scientific and technological human resource development.
FASTER STORAGE SYSTEM FOR FIRMS

The access of the data from the cloud storages are somewhat slow when compared to the local storages. But we are not using local storage because we cannot access the data remotely and they are hard to store in a single place (as generally we use cables to transfer files locally). This idea is to increase the data transfer and access speed using wifi for data transfer and storing them locally. Also making the server become cloud storage. In this paper, we take our past work above and beyond and present an inside and out investigation of the vital highlights of future enormous information stockpiling administrations for both unstructured and semi-organized information, what's more, talk about how such administrations ought to be developed and conveyed. We particularly center around the issues of information de-duplication for ventures and private associations. This research is especially significant for unpracticed arrangement suppliers like universities and exploration associations, and will permit them to quickly set up their own enormous information stockpiling administrations.
Assessing speech-to-speech translation quality: Case study of the ILA S2S app

Machine translation (MT) is becoming qualitatively more successful and quantitatively more productive at an unprecedented pace. It is becoming a widespread solution to the challenges of a constantly rising demand for quick and affordable translations of both text and speech, causing disruption and adjustments of the translation practice and profession, but at the same time making multilingual communication easier than ever before. This paper focuses on the speech-to-speech (S2S) translation app Instant Language Assistant (ILA), which brings together the state-of-the-art translation technology: automatic speech recognition, machine translation and text-to-speech synthesis, and allows for MT-mediated multilingual communication. The aim of the paper is to assess the quality of translations of conversational language produced by the S2S translation app ILA for en-de and en-hr language pairs. The research includes several levels of translation quality analysis: human translation quality assessment by translation experts using the Fluency/Adequacy Metrics, light-post editing, and automated MT evaluation (BLEU). Moreover, the translation output is assessed with respect to language pairs to get an insight into whether they affect the MT output quality and how. The results show a relatively high quality of translations produced by the S2S translation app ILA across all assessment models and a correlation between human and automated assessment results.
Teacher training for the education of the future: Challenges and a strategy for change

The article substantiates socio-cultural prerequisites and educational trends that determine the direction of modernization of pedagogical training in world practice. A comparative analysis of approaches to the improvement of teacher education in the leading countries of the PISA educational rating and in the Union State of Belarus – Russia was carried out. The results of experimental work on the implementation forward thinking pedagogical education at the Belarusian State Pedagogical University named after Maxim Tank are presented.
Right To Privacy: A Comparative Study

The term ‘Privacy’ is derived from the Latin word ‘Privatus’ which means separated from the rest. Though it is a variable concept and varies with cultural or social context, but actually it means, the right to be left alone. The need for Privacy is to create a balance between individual and social interests, which is equally applicable to past, present and future society. In this sense, the necessity of Privacy was found in the dawn of human civilization. The idea of Privacy is as old as Biblical periods. Also, the growth and expansion of Privacy varied according to the variation in different stages of human civilization. Hence, the description of origin and history of Right to Privacy should proceed from the ancient period to the modern period. In fact, the idea of Privacy was originated in the animal society and gradually it has been incorporated into the human society. The idea of Privacy, which was originated in the animal society, has been adopted in the primitive human society, where the traces of it were first found. According to different Anthropological studies, the idea of Privacy varied in respect of different primitive societies. With the evolution of primitive society to ancient society and then gradually to modern society, the idea of Privacy has been developed to get its present shape. The root of Privacy and its protection is embedded in the history of human civilization, which is characterized specially by transformation of primitive society into modern society. The social transformation has increased both the physical and psychological opportunities for Privacy and also proved to be fruitful for conversion of these opportunities into choices of values in the context of socio-political reality. Social transformation is the responsible factor for changing nature of Privacy as well as the changing character of Privacy violations from primitive societies to modern societies
Time-Cost Tradeoffs for Composed Services

Time and cost are crucial criteria in Service Level Agreements. Frequently, the time when and how long a service can be provided or used and the cost for utilizing a service are related and hence users are confronted with a trade-off between time and cost. Besides the fundamental direct and indirect proportional relationship between time and cost, composed services might also have more complex non-monotonic relationships. We introduce a novel way of expressing the trade-offs between time and cost in form of TC-Maps as a set of piece-wise linear functions. For calculating the duration, cost and their relation for service compositions, we introduce specific operations used in a bottom-up procedure resulting in an overall TC-Map. The proposed structure allows us to derive the minimum cost of a composed service given a duration limit, or for analyzing possible durations for a provided budget. TC-Maps offer the basis for optimizing the utilization of composed services according to user preferences, resources and objectives.
Implementation of a Data Protection Model dubbed Harricent_RSECC

Every organization subsists on data, which is a quintessential resource.Quite a number of studies have been carried out relative to procedures that can be deployed to enhance data protection.However, available literature indicates most authors have focused on either encryption or encoding schemes to provide data security.The ability to integrate these techniques and leverage on their strengths to achieve a robust data protection is the pivot of this study.As a result, a data protection model, dubbed Harricent_RSECC has been designed and implemented to achieve the study's objective through the utilization of Elliptic Curve Cryptography (ECC) and Reed Solomon (RS) codes.The model consists of five components, namely: message identification, generator module, data encoding, data encryption and data signature.The result is the generation of the Reed Solomon codewords; cipher texts; and generated hash values which are utilized to detect and correct corrupt data; obfuscates data; and sign data respectively, during transmission or storage.The contribution of this paper is the ability to combine encoding and encryption schemes to enhance data protection to ensure confidentiality, authenticity, integrity, and non-repudiation.
Communicative language teaching in improving Student’s speaking achievement

The aim of the research was to find out whether there is an improvement in the students’ speaking achievements after being taught through the weak version of the Communicative Language Teaching method. The population of the research was the students of the second year of SMKN 2 Bandar Lampung. The sample of the research was twenty students of Eleventh Grade BKP (Bisnis Konstruksi dan Property) 3. The research used one group pre-test post-test design and the data were taken from the tests. The data were analyzed by using SPSS statistics 20. The result of the research indicated that there was a significant improvement in the students’ speaking achievement after being taught through the Communicative Language Teaching method. The mean score of the post-test (9.8) was higher than the mean score of the pre-test (7.2). By using the t-test, it was found that the sig (p) value is less than the sig level 0,05 (0.000 &lt; 0.05) and the t-value (8.664) was higher than the t-table (1.729). It can be concluded that the implementation of the weak version of the Communicative Language Teaching method significantly improved students’ speaking achievement.
Mapping of Reading Interest, Habit, and Motivation of Students in the Indonesian Language and Literature Education Study Program

Reading skill is something that must be possessed and learned by students.When someone has good reading skills, it will support other language skills, namely writing skills.A number of studies examined efforts to improve reading skills, but there is still little research related to reading interest, motivation, and habits, especially at student level.The purpose of this study is to map reading interest, motivation, and habits of students at the Indonesian Language and Literature Education Study Program (PBSI), Faculty of Education, in one of Muhammadiyah universities.The research method is descriptive analytics, namely analyzing findings in the form of mapping interest in reading interest, motivation, and habits obtained through a closed questionnaire in the form of google form with 154 PBSI student respondents.Based on the results, it was found that: (1) PBSI students' reading interest was divided into 3 categories: very high, medium, and low.The frequency of the very high category is 0.65%, the medium category is 62.34%; and low category 37.01%.(2) Reading motivation of PBSI students is divided into 4 categories namely very high as much as 4.55%, high category as much as 58.44%, medium category 4.42%, and low category 2.60%.(3) Students' reading habits are divided into four categories, namely very high as much as 1.95%; high category 37.66%; medium category 57.14%; low category 0.03% .There are eight kinds of habit mapping in the form of activities carried out when reading, including: (1) the chosen language of instruction; (2) the color used to mark the main ideas; (3) the duration required to read in one sitting; (4) the required duration for reading; (5) preferred type of book; (6) the desired atmosphere when reading; (7) the number of books read in a month; and (8) preferred type of reading.The results of this study are expected to be used as a basis for carrying out further research in the form of development research related to reading skills in students in the Indonesian Language and Literature Education Study Program.
Analysis of coupled quantum parametric harmonic oscillators by classical nonlinear modeling

Quantum-dot and ion-trap technologies are applied to implementation of quantum computers. Quantum mechanical systems constructed by the technologies are considered as networks of charged particles. In this paper, we present first that the networks are described by coupled quantum parametric harmonic oscillators (CQPHOs). Second, the CQPHOs are modeled by a system of nonlinear stochastic ordinary differential equations (NSODEs). The NSODEs consist of a deterministic drift term and a probabilistic fluctuation term. The drift term is derived by substituting a quantum probability density function and a quantum current density for the classical counterparts in a drift term of the Fokker-Planck equation. Third, we integrate numerically the system of the NSODEs from which probabilistic fluctuation term is removed. As a result of the integral, we find that the system behaves chaotically when the amplitude and the frequency of the time-varying parameter of the CQPHOs are in specific ranges. This implies that quantum computers may behave irregularly because not only of intrinsic probabilistic nature of quantum mechanics but also of deterministically chaotic nature.
Replicability under Near-Perfect Conditions – A Case-Study from Automatic Summarization

Replication of research results has become more and more important in Natural Language Processing.Nevertheless, we still rely on results reported in the literature for comparison.Additionally, elements of an experimental setup are not always completely reported.This includes, but is not limited to reporting specific parameters used or omitting an implementational detail.In our experiments based on two frequently used data sets from the domain of automatic summarization and the seemingly full disclosure of research artifacts, we examine how well results reported are replicable and what elements influence the success or failure of replication.Our results indicate that publishing research artifacts is far from sufficient, and that publishing all relevant parameters in all possible detail is crucial, but often neglected, making the situation in automatic summarization only near-perfect.
The Impact of the Economic Crisis on Developing and Developed Countries

The essence of the financial crisis originated in developed countries is the instability of the economic market and the imbalance between supply and demand.The direct reason is the lack of regulatory financial innovation in developed countries, that is, excessive credit creation [1].The spread of the crisis is actually a result of economic globalization, that is, the global economy becomes a whole, and any problem in any country in the whole will lead to the collapse of the global economy.This paper examines the impact of the economic crisis on developing and developed countries.Some famous quotes are cited as the support of the argument.The main source of data of this paper comes from articles and analysis related to economic crisis.From the perspective of phenomenon, for developed countries, through the adjustment of market mechanism and the active intervention of the government, they will eventually get through the crisis.Of course, losses are inevitable.For developing countries, not only the financial crisis, but also the political field.
Bitstream-Quality-Estimation Model for Tile-Based VR Video Streaming Services

Tile-based virtual reality (VR) video consists of high-resolution tiles that are displayed in accordance with the users' viewing directions and a low-resolution tile that is the entire VR video and displayed when users change their viewing directions. Whether users perceive quality degradation when watching tile-based VR video depends on high-resolution tile size, the quality of high- and low-resolution tiles, and network condition. The display time of low-resolution tile (hereafter delay) affects users' perceived quality because longer delay makes users watch the low-resolution tiles longer. Since these degradations of low-resolution tiles markedly affect users' perceived quality, these points have to be considered in the quality-estimation model. Therefore, we propose a bitstream-quality-estimation model for tile-based VR video streaming services and investigate the effect of bitstream parameters and delay on tile-based VR video quality. Subjective experiments on several videos of different qualities and a comparison between other video quality-estimation models were conducted. In this paper, we prove that the proposed model can improve the quality-estimation accuracy by using the high- and low-resolution tiles' quantization parameters, resolution, framerate, and delay. Subjective experimental results show that the proposed model can estimate the quality of tile-based VR video more accurately than other video quality-estimation models.
Selecting Stickers in Open-Domain Dialogue through Multitask Learning

With the increasing popularity of online chatting, stickers are becoming important in our online communication.Selecting appropriate stickers in open-domain dialogue requires a comprehensive understanding of both dialogues and stickers, as well as the relationship between the two types of modalities.To tackle these challenges, we propose a multitask learning method comprised of three auxiliary tasks to enhance the understanding of dialogue history, emotion and semantic meaning of stickers.Extensive experiments conducted on a recent challenging dataset show that our model can better combine the multimodal information and achieve significantly higher accuracy over strong baselines.Ablation study further verifies the effectiveness of each auxiliary task.Our code is available at https://github.com/nonstopfor/Sticker-Selection.
Building intelligent education system

Smart education is an important symbol of educational informatization. We will accelerate the construction of smart education and complete the education management informatization system connecting up and down and covering all kinds of schools at all levels in the city. According to the strategy of
Extreme Reality (EXR) Telemetry Interfaces

Extreme Reality (EXR) is an extended augmented reality that incorporates telemetry interfaces that can be operated in live or simulated extreme environments. In this study, we explore a few architectures of EXR, including real-time multimodal first-person view video streaming from the thermal, stereo, and panoramic sources, and incorporate live IoT (Internet of Things) data into extreme reality models via MQTT (Message Queue Telemetry Transport) on an AR headset. This technology can be applied to real-time operations and simulation training for incident command posts (ICP) and first responders with head-up display (HUD) helmets in extreme environments such as flood, fire, smoke, and shooting. It can also be applied to other applications such as the telemetry interface for assisting in training low-vision drivers.
Development of mechanism for dissemination of managerial experience of principals of general education system schools

The article updates the issue of developing the mechanism for disseminating the professional experience of managerial personnel, their main motives and incentives for gaining the experience in order to enhance the effectiveness of the functioning of educational organizations by improving the quality of management decision-making. The significance of this research rests in the provision of the updating in the professional knowledge, skills, abilities and competencies of school principals that are determined by the federal project ‘Modern School’ within the national project ‘Education’. Professional competencies of school principals are emphasized. The authors present the conceptual apparatus of the thesaurus of dissemination of managerial experience. The concept of the development of the mechanism of dissemination of managerial experience through the differentiation of the skills of school principals for the allocation and analysis of managerial competencies in order to enrich the content of additional professional programs with the best management practices in the general education system is determined. The functional interrelation of the structural elements of the mechanism of dissemination of managerial experience of school principals is presented, functional tasks aimed at creating a digital bank of managerial cases based on the use of the skills of school principals to solve situational problems in the management of an educational organization, to develop a digital ecosystem of the further professional education and certification procedures for managers of educational organizations of general education are described. The results of the research are the foundation for the development of the methodological recommendations for the differentiation of the school principals’ skills for the assessment of their managerial competencies, aimed at the dissemination of the managerial experience of the target audience, the exchange of experience and best managerial practices.