Reviewerly/exHarmony huggingface dataset:
Enablers to Boost Blockchain Adoption in EU

This paper describes a framework to facilitate the adoption of the Blockchain technology and streamline the development of decentralised applications (DAPPs). It describes four enablers, as self-contained core modules, offering specific, key functionality using the Blockchain technology. The enabler functionality includes a) Blockchain-based ID management allowing for authentication and authorization, b) the storage of data in the IPFS distributed filesystem with guarantees of data integrity and authenticity, c) the trustworthy registration of entities, services, and bindings, d) the performance of trustworthy negotiations towards external marketplaces with the support of the Blockchain. The design and interactions of the enablers are described using sequence diagrams. The usage of the functionality provided by the enablers is also being evaluated. In parallel, we present the application of the Blockchain technology, mainly in the context of EU project Block.IS in three economic areas agriculture, finance, and logistics. We provide and discuss a digest of the decentralised applications designed and developed over a period of approximately 3 years (2019-2021). Key areas of interest, processes, workflows, and assets where Blockchain technology has been applied are described. Findings, in terms of Blockchain application, challenges and technical selections as well as third-party tools are also identified and discussed.
Ecophilosophy of Natural Harmony and Pragmatic Naturalism in Thoreau’s Poems

Ecophilosophy, as a holistic view of nature is implied in the identification of nature and human relation with definite sense of harmony. Pragmatic naturalism, as the combination of reason and fact in nature, works in a common ground of harmony in nature as the practical part and the part of observing the human wisdom to and towards nature. This study probes into Thoreau’s poetic imagination about nature and how Thoreau, as the transcendental naturalist, uses nature as a powerful means of understanding human essence to natural world. Also it examines how he has observed nature, though the life cannot be imagined detached from nature and natural force, as free and ontologically capable to exist with balanced relation with nature and society. Nature is self-regulating being but with unity for the sense of harmony through ecosystem and pragmatic aspect. As the ecological wisdom of realizing nature, he has seen nature as a metaphor of ‘book’ and thinks that nature provides the lessons to humans greater than anything else really could. This study is based on an identified problem - how Thoreau, through his poems, tends to illustrate the idea that nature is an already existing truth and guiding principle of human understanding and nature-human harmony.
Extending Contrastive Learning to Unsupervised Redundancy Identification

Modern deep neural network (DNN)-based approaches have delivered great performance for computer vision tasks; however, they require a massive annotation cost due to their data-hungry nature. Hence, given a fixed budget and unlabeled examples, improving the quality of examples to be annotated is a clever step to obtain good generalization of DNN. One of key issues that could hurt the quality of examples is the presence of redundancy, in which the most examples exhibit similar visual context (e.g., same background). Redundant examples barely contribute to the performance but rather require additional annotation cost. Hence, prior to the annotation process, identifying redundancy is a key step to avoid unnecessary cost. In this work, we proved that the coreset score based on cosine similarity (cossim) is effective for identifying redundant examples. This is because the collective magnitude of the gradient over redundant examples exhibits a large value compared to the others. As a result, contrastive learning first attempts to reduce the loss of redundancy. Consequently, cossim for the redundancy set exhibited a high value (low coreset score). We first viewed the redundancy identification as the gradient magnitude. In this way, we effectively removed redundant examples from two datasets (KITTI, BDD10K), resulting in a better performance in terms of detection and semantic segmentation.
Design and Implementation of Big Data Analysis Algorithm in Ciphertext Domain Based on Homomorphic Encryption

As a new technology emerging in the era of Internet big data, cloud computing has huge storage space and tough computing power, providing a solution for the analysis and processing of big data. However, with the concern of privacy disclosure, data analysis in plaintext can not meet the needs of privacy protection. Therefore, the data security issues in the process of cloud computing need to be solved. Homomorphic encryption technology has the characteristics of computing on encrypted data, which can provide security protection for privacy data in cloud computing. In this paper, combined with CKKS homomorphic encryption scheme, using two different packing encoding methods based on row encoding and column encoding, we design different ciphertext data analysis algorithm schemes, including ciphertext mean calculation, ciphertext variance calculation, ciphertext covariance matrix calculation, etc., to achieve privacy protection in the process of big data analysis. In the order of millions of data sets, the ciphertext data analysis can achieve second order response. At the same time, the ciphertext analysis algorithm proposed in this paper supports multi-dimensional sample data sets. The experimental results show that the ciphertext data analysis under 16-dimensional data sets reaches 23.49 seconds.
Standards Process of Learning Implementation in SMP Harapan Ibu Banyuasin, Indonesia

This study aimed at determining how does the standard process in English Learning at SMP Harapan Ibu Tanah Mas Banyuasin. This study was a qualitative using study case method. This study was done at SMP Harapan Ibu Tanah Mas Banyuasin with six respondents were the headmaster, assistant of the headmaster in curriculum, operator, administration staff, and two teachers of English. Data collection technique used in this study were interview, observation and documenting. The truthworthness in this study was using triangulation. The findings showed that (1) the implementation of standard process at SMP Harapan Ibu has done according to the national standart at the school which they still used the school based urriculum and curriculum of 2013; (2) the learning implementation has conveyed aaccording to the schedule of the school; (3) findings the differences implementation of using school based curriculum has been conveying in 7 and 8-1 class, and using curriculum of 2013 at 8-2, 9-1 and 9-2 class.
Improved Decoding of Linear Block Codes by Concatenated Decoders

The use of decoding algorithms allows us to retrieve information after transmitting it over a noisy communication channel. Soft decision decoding is powerful in concatenation schemes that use two or more levels of decoding. In our case, we make a concatenation between the Hartmann &amp; Rudolph (HR) algorithm as symbol-by-symbol decoder and the chase-2 algorithm that is word-to-word decoding algorithm. In this paper, we propose to combine two decoding algorithms for constructing a new one with more efficiency and less complexity. This work consists firstly to use the HR with a reduced number of codewords of the dual code then the Chase-2 algorithm which exploits the output of PHR. The simulations results and the comparisons made show that the proposed decoding scheme guarantees very good performance with reduced temporal complexity.
Humanities Education in the Age of AI

Artificial Intelligence (AI) is transforming our world: today machines not only can mimic human actions but out-perform human agents in many activities, including learning and thinking. AI offers revolutionary solutions and new possibilities in transportation, business, communication, medicine, law, and other domains. While some welcome this brave new world, others fear the threats AI pose to people’s livelihoods, social relations, individuality, freedom, and perhaps even the very survival of the human species. No doubt some of this existential angst is exaggerated, but AI does raise questions for our understanding of the world and ourselves that require serious reflection, including questions about adequacy of education in various aspects. This chapter offers, from the perspectives of John Dewey’s Pragmatism as well as Confucianism, some reflections on the role of the humanities in education in response to the opportunities and challenges of the development and widespread use of AI. It shows that Dewey and Confucius share similar views regarding the humanistic purpose of education and their philosophies of education offer arguments for why humanities education will be relevant, if not more important, when many jobs we are familiar with become obsolete. Their attitudes toward the economic motive in education will help us rethink the meaning of work in a “world without work.” At the same time, they offer a critical evaluation of contemporary humanities education, which have failed to realize their visions of personal cultivation and growth. Among its failings is the continued dichotomy between the humanities and the sciences. In the age of AI, it has become even more vital to integrate them to so that science and technology would not become materialistic and anti-human and the humanities not become merely literary and without any means to transform the world.
Evaluation and Development of Web-Based Information Systems of Unit Pelaksana Teknis Mengwi District Based on Usability Method and User Experience

Unit Pelaksana Teknis (UPT) of Mengwi District is one of the regional agencies of Badung Regency. UPT Mengwi has an important task in terms of educational services in the Mengwi District. There were several problems found by users, namely problems related to the interface and some functional systems that did not run optimally. Therefore, continuous evaluation and development were needed. The evaluation of SIUPT Mengwi was carried out using the evaluation techniques of Performance Measurement, Retrospective Think Aloud, and User Experience Questionnaires. The results in the initial evaluation phase with the Performance Measurement technique showed that it was still not effective and efficient. The analysis of user satisfaction on the attractiveness aspect was 1.45, clarity aspect was 1.05, efficiency aspect was 1.21, and accuracy aspect was 1.45. It discovers that the satisfaction Level of the SIUPT Mengwi has not reached the set standard, so that development efforts were needed. The results of the evaluation after the development phase showed that SIUPT has been effective and efficient with a failure rate of 0%, and there was no significant difference in the time to complete the task. All aspects of user satisfaction gained a very good category with an average score for the attractiveness aspect, which was 2.39, the clarity aspect was 2.29, the efficiency aspect was 2.50, the accuracy aspect was 2.41, the stimulation aspect was 2.43, and the novelty aspect was 2.40. For future evaluation and development, some improvements can be made to the Graphic User Interface (GUI) on the system to improve the research which will be carried out.
Smart Grid Local Energy Trading Based Crypto Token Using Blockchain

Smart grid is envisioned to be the technology capable of scheduling user's energy requirement based on demand and decentralized nature. These challenges pose extreme pressure on finding advanced technologies and sustainable solutions for secure and reliable operations of the power system working inside the blockchain technology for managing exchange and trading of energy by means of specific tokens. For efficient utilization and functioning of the power grid we need a decentralised system which is transparent, trustless and makes transactions faster, there are a number of solutions proposed but none of them address the issue of transaction time in trade and penalty for defaulters. In this work we propose here an energy transaction network which implements blockchain technology for validating transaction of energy between producer/consumer or prosumer and saves energy and time using smart grids
An interactive introduction to WebGL

course An interactive introduction to WebGL Share on Authors: Ed Angel University of New Mexico University of New MexicoSearch about this author , Dave Shreiner Unity Technologies Unity TechnologiesSearch about this author Authors Info & Affiliations SIGGRAPH '21: ACM SIGGRAPH 2021 CoursesAugust 2021 Article No.: 5Pages 1–92https://doi.org/10.1145/3450508.3464549Published:09 August 2021 0citation93DownloadsMetricsTotal Citations0Total Downloads93Last 12 Months93Last 6 weeks43 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access
Multi-object Tracking over Fiber-Wireless Networks for Better Wild Life Protection

A warning system based on sensor networks and hybrid networks (passive optical integration with a wireless network) is proposed here to identify wild animals near the road/speeding trains and strange activities in the forest region. These early warnings help relevant local authorities to handle the evolving situations. Further, these early warnings can alert passing vehicles about potential animal crossings/face-off with animals. Sensors integrated with a built-in camera to capture the images and estimate the distance of the captured images. The sensor has low processing capabilities. Hence, data from sensor networks are sent to base stations to identify the image and send alert messages. The relevant information is transferred to the base station. This decreases energy consumption for image transfer and latency in the whole process. The proposed system reduces animal deaths due to accidents and poaching and loss of human and animal lives due to conflicts and improves man and wild animal cohabitation.
Misreported longitudinal data in epidemiology: Review of mixture-based advances and current challenges

The problem of dealing with misreported data is very common in a wide range of contexts and for different reasons.This has been and still is an important issue for data analysts and statisticians as not accounting for it could led to biased estimates and conclusions, and in many cases that would have implications in a posterior decision making process, as we all have seen in the current worldwide Covid-19 pandemic.In the last few years, many approaches have been proposed in the literature to accomodate data presenting this issue, especially in the fields of epidemiology and public health but also in other areas as social science.In this work, a comprehensive review of the recently proposed methods based on mixture models for longitudinal data (correlated and uncorrelated) is presented and several examples of application are discussed, including several approaches to the burden of Covid-19 infection cases in Spain and different approaches to deal with underreported registries of human papillomavirus infections and genital warts in Catalunya.
Innovation Approaches in Vietnam and Thailand Higher Education Institutions

In the 4th industrial revolution era, instead of following the entrepreneurial approach of traditional third-generation universities, nowadays, a university is redefined as an ecosystem that innovates not only "for itself" but also "for others". Thus, university transformation is described with three key characteristics: radical mindset changes, holistic innovation facilitation, and ecological and social norm encouragement. It responds well to the demands of entrepreneurial spirit, innovative approaches, digital transformation, personalized education, and ecological and social norm promotion. The responsiveness to this university model can be assessed by the criteria and indicators of the new rating system of the University Performance Metrics (UPM). Practically, UPM has been applied to benchmark the universities of Vietnam and Thailand. The results indicate that while facilitating the research quality focus, higher education institutions need to develop the innovation-driven university model, supporting the universities' autonomy in implementing their activities.
Development of the human tracking system using the cooperating of multiple cameras arranged sparsely

In recent years, security cameras have been established in public facilities such as schools and shopping malls and various places such as public roads and general households. The data taken by the security camera is very useful because it is used in various situations such as tracking people and objects, verifying accidents and incidents, and observing the weather. The number of security cameras is more effective as the number increases, however, the landscape deteriorates and causes great stress to people. In this study, we propose a system that shares camera information in multiple sparsely arranged camera environments. In the proposed system, it is most important to select the features for each camera because the environment is completely different for each camera (e.g. light conditions, occlusion, camera direction). In this paper, we apply the proposed system to people tracking and show the system&#x0027;s usefulness by verifying various features. In human tracking, to solve the partial occlusion of the target, a particle filter is used. As the features for human tracking, the STHOG feature is adopted. The STHOG is a feature quantity that focuses on the walking characteristics of humans and is robust to fluctuations in lighting. We performed the simulation of the human detection, in the case where there are multiple people whose colors are similar to the target. As a result, The effectiveness of discrimination by STHOG features is shown compared with the case of only color information.
The Validation of the Information Systems Success Model: LMS Integration during Covid-19

This study adapted DeLone &amp; McLean information system success model (D&amp;M IS success model) regarding the implementation of learning management system (LMS) during Covid-19. Six variables are included; system quality, information quality, service quality, system usage, user satisfaction, and net benefits with 23 initial items. A total of 279 undergraduate students from a public university in Indonesia participated in this study. The factor structure of the instrument was investigated using a survey design. The survey data were calculated using exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). Six variables emerged from the EFA methods, establishing a valid and reliable model; a few items were eliminated due to cross-loading. The suggested model was successfully mapped as a consequence of the results. The CFA confirmed that the instrument was suitable for the Indonesian setting. The findings led to the development of 19 reliable and valid items. The measured scale has psychometric qualities, allowing for future research with a tool to capture D &amp; M IS success model technology integration.
A CONCEPTUAL GOVERNANCE FRAMEWORK FOR SMART CITY DATA SHARING PLATFORM

The concept of smart cities encompasses various next-generation information and communication technologies with the latest improvements and developments in high-speed Internet services, the use of cloud computing concepts for everything available as a service, Big Data implementations of urban facility data, and integrated geographic information systems.Similar to the definition of Big Data, it involves dimensions such as volume, variety, velocity, veracity and value of data for smart city applications.The value of data increases when it is properly used and consumed by smart city stakeholders.Nowadays data as the most valuable asset also becomes vulnerable as a worthwhile target.For this reason, a data governance approach should be implemented for smart city data sharing.In this paper, we present a conceptual governance framework for the smart city data-sharing platform, which provides basic information about how the actors in the smart city ecosystem who want to consume data and publish it between services and applications.
A Study of Problems Faced by Indonesian Employees at PT. Doosan Jaya Sukabumi in Writing English Business Documents

This study aims to investigate problems faced by Indonesian employees at PT. Doosan Jaya Sukabumi in writing English business documents.The investigation aimed to identify the primary issues and recommend improving the employees' English writing skills.Purposive and quota sampling strategies were used in the study.The total number of respondents was 32, and they worked in industries such as accountancy, sales and marketing, logistics, and production, all of which commonly employ English in the workplace.Due to a shortage of time, our research focussed on finding challenges with writing business e-mails, letters, and reports.The results suggest that at PT. Doosan Jaya Sukabumi's most prevalent problems with drafting business e-mails were the lack of advanced vocabulary and grammatical knowledge.At the same time, poor time management, clarity, and tone words had become the most common problems faced by the employees in writing business letters.The significant problem that the employees dealt with in writing their reports was the lack of knowledge of business writing.They faced difficulties in constructing sentences and paragraphs properly.According to the result of the study, the employees in the mentioned departments are advised to take an English writing course at the language center, have the corporation give in-house training in English writing skills, or do self-study.
The Role of EUPs in custom GUIs for Future Integration of HCI-enhancing Devices

Although architecture software companies incorporate high-level programming to process the complexity of data, only some End-User Programmers (EUP) manage to customize their GUI to design and integrate smart devices for future smart homes and smart cities. HCI is a source of inspiration to incorporate a large part of the design process into creative flows. In this context, we identify patterns to analyze, interpret, and optimize the work of EUP architects who seek to customize the GUI of their digital design tools. We obtained a set of 16 patterns that reconfigure the interaction of their processes. We programmed the integration of data science in architecture, machine learning, visual and textual programming, Cloud Computing with AWS, and Augmented Reality with Unity. The result is an ecosystem of three platforms that compensate for the shortcomings of computerized design in data-driven design processes, optimizing execution time in an emergency, with perspectives towards Smart and Interconnected Environments. Considering that the GUI is the most important product of HCI research, our analysis and interpretation of the results and their discussion highlight the need to explore personalized GUI solutions promoted by the designers to enrich them, capitalizing on their processes in codes for the reuse and co-design of new interactions.