Reviewerly/exHarmony huggingface dataset:
Table-based knowledge representations for industrial feature models

Configuration knowledge engineering in industrial settings often has to face the challenge that product domain experts do not have background knowledge in formal configuration knowledge representations. In this context, graphical configuration models such as feature models provide a basis for the communication between domain experts and knowledge engineers. However, in many cases domain experts are used to define configuration knowledge in table-based representations. In this paper, we discuss ways of how to represent basic configuration constraint types in the form of a table-based representation thus allowing an alternative definition and exchange of product configuration knowledge.
A prototype of a crowd-sourcing platform for classification and integration of analysis tools in product line engineering

Adopting Product Line Engineering (PLE) approaches in the context of software-intensive systems reduces overall development and maintenance costs, reduces time to market and leads to an overall improvement in product quality. The Software and System Product Line (SPL) community has provided a large number of different analysis approaches and tools, which were developed in different contexts, answer different questions, and can contribute to the fulfillment of different analysis goals. The pursuit of these goals requires holistic approaches, i. e. integrated toolchains and classification of analyses, which are documented as a centralized collection of wisdom. Previously, we proposed a classification system for describing existing analyses. Furthermore, this method supports the search for possible combinations, i. e. toolchains which address the complex industrial needs in the context of adopting PLE approaches.
Design for the analysis of variability management in the industry

Software Product Lines (SPL) enable systematic reuse within an organization, which reduces costs, effort, development time and the average number of defects per product. However, there is no empirical evidence on the adoption of SPLs in software development companies for product customization. To assess the need for SPL technologies in real software development, it is necessary to analyze the variability practices in companies to develop their products, pointing out the strengths and weaknesses of their approaches. To this end, we present the design of a study to evaluate how companies perform variability management. We start from the assumption that most companies manage variability, but not many of them are aware of the software product lines.
kconfig-webconf

Despite decades of research and clear advantages, performance-aware configuration of real-world software product lines is still an exception rather than the norm. One reason for this may be tooling: configuration software with support for non-functional property models is generally not compatible with the configuration and build process of existing product lines. Specifically, the Kconfig language is popular in open source software projects, but neither language nor configuration frontends support performance models. To address this, we present kconfig-webconf: a performance-aware, Kconfig-compatible software product line configuration frontend. It is part of a toolchain that can automatically generate performance models with a minimal amount of changes to a software product line's build process. With such a performance model, kconfig-webconf can serve as a performance-aware drop-in replacement for existing Kconfig frontends. We evaluate its usage in five examples, including the busybox multi-call binary and the resKIL agricultural AI product line.
Reconstruction-based Anomaly Detection for Health Indicator Construction of Machinery

In the manufacturing process, maintenance is performed at a specific time point based on continuous monitoring of equipment and processes. However, accurate predictive maintenance of time-series data is difficult. This is because, due to the characteristics of the process equipment, a single equipment experiences various working conditions. It shows various outputs even under similar conditions. Therefore, we proposed a new reconstruction-based anomaly detection. Our method uses a property in which a reconstruction error is calculated through input values and reconstruction values. This builds a sophisticated health indicator (HI) by deferring model selection until the smallest reconstruction value is obtained when training the model. As a result, through advanced HI construction, it is possible to accurately identify and quantify the degree of degradation of machinery. Experiments confirm that the proposed method showed superior performance in terms of initial anomaly detection compared to other models.
A Study on the Organizational Culture of the Office of Education: Focusing on the B Office of Education

The purpose of this study is to diagnose the organizational culture of the B office of education and explore ways to change the organizational culture based on this. The summary of the research results is as follows. First, it is the diagnosis result of the current and future organizational culture in overall terms. Clan and adhocracy culture hoped to strengthen future organizational culture more than current organizational culture, but market and hierarchy organizational culture hoped to weaken future organizational culture more than current organizational culture. Next, it is the diagnosis result of the current and future organizational culture according to the background variable. In most background variables such as affiliated organization, series, position, gender, and age, clan and adhocracy culture hoped to be strengthened in the future, but market and hierarchy culture tended to be weakened or maintained in the future. As a policy task for changing the organizational culture of the office of education, it was suggested to use the educational paradigm change of educational autonomy as a mechanism to improve the organizational culture of the office of education, improving the way of working by improving the efficiency of the work process from the level of the main office of education, which serves as a control tower for policies and tasks.
Prototype Development Study of PBL Safety Education Program for Vocational High School Field Practice Using Metaverse Platform

The purpose of this study is to improve the safety education of field trainees at specialized high schools and to strengthen their ability to cope with accidental disaster situations during the training process. The research tasks for this are first, to build a map for the metaverse-based PBL safety education program, and second, to examine the educational usefulness of the developed map. The results of this study are as follows. First, six spaces were constructed using on-the-ground performance and motivational strategies.
Swarm Intelligence Technique for Supply Chain Market in Logistic Analytics Management

Supply chain management has become increasingly important as an academic subject due to globalization developments contributing to massive production-related benefits reallocation. The huge volume of data produced in the global economy means that new tools must be created to manage and evaluate the data and measure organizational performance worldwide. Smart technologies such as swarm intelligence and big data analytics can help get clear data of the location, condition, and environment of products and processes at any time, anywhere to make smart decisions and take corrective schedules that the supply chain can run more effectively. This study proposes the swarm intelligence modeling-based logistic analytics management (SIMLAM) in service supply chain market. A generalized structure for swarm intelligence implementation in supply chain management is suggested, which is advantageous to industry practitioners. Different deterministic methods practically fail due to the intrinsic computational complexity of the problem of higher dimensions.
VizWiz grand challenge workshop at CVPR 2022

Our goal is to educate a broader population about the technological needs and interests of people with vision impairments while encouraging artificial intelligence (AI) researchers to develop new algorithms that can help eliminate accessibility barriers. Towards this goal, we organised the VizWiz Grand Challenge Workshop at the IEEE/CVF Computer Vision and Pattern Recognition conference (CVPR 2022). This workshop's scope included charting and celebrating progress on accessibility-related AI challenges as well as engaging invited speakers and stakeholders to discuss challenges and opportunities related to designing next-generation assistive technologies. A total of 72 teams participated in our three AI challenges and the winners received awards sponsored by Microsoft. The facilitated discussions highlighted insights from ten invited speakers who provided a range of expertise spanning the cutting edge of computer vision research, development of industry products and services for assisting people with vision impairments, and perspectives of people with vision impairments who use visual assistance technologies. Finally, nine teams who submitted extended abstracts about their research related to the AI challenges and assistive technologies for people with visual impairments gave spotlight and poster presentations about their research. Links to the content shared at the event can be found at VizWiz Workshop
Implementation of OCR and Face Recognition on Mobile Based Voting System Application in Indonesia

Elections are a form of democratic practice in Indonesia. Every 5 years an election will be held to elect a president. People who have been able to take part in the election will come to the polling station (TPS) to channel their voting rights. However, this conventional method proved ineffective because some people who were unable to attend due to certain situations for example, traveling out of town, did not want to queue, and experienced illness or physical disability. Therefore, this study aims to design an online voting system based on Android as an alternative to conventional elections and digital transformation in the voting method in Indonesia. The system will use Optical Character Recognition technology by firebase ml-kit to read Identification Number on the Identity Card and face recognition technology to compare the faces of voters during registration and during online elections. The Face Recognition system is implemented using Multi-task Convolutional Neural Network to detect faces and using Tensorflowlite to translate the facial model provided by the FaceNet model. Results Research shows the success of the OCR system is 96.67% and the accuracy of face recognition is 100%. The accuracy of OCR ml-kit and face detection using Multi-task Convolutional Neural Network and Face Recognition using tensorflowlite and FaceNet models proved to be 100% successful.
Atlas of AI – Book review

Reasoning with minimal models is at the heart of many knowledge representation systems. Yet, it turns out that this task is formidable even when very simple theories are considered. It is, therefore, crucial to devise methods that attain good performances in most cases. To this end, a path to follow is to find ways to break the task at hand into several sub-tasks that can be solved separately and in parallel. And, in fact, we show that minimal models of positive propositional theories can be decomposed based on the structure of the dependency graph of the theories: this observation turns out to be useful for many applications involving computation with minimal models. In particular, we introduce a new algorithm for minimal model finding based on model decomposition. The algorithm temporal worst-case complexity is exponential in the size s of the largest connected component of the dependency graph, but the actual cost depends on the size of the largest component actually encountered at run time that can be far smaller than s, and on the class of theories to which components belong. For example, if all components reduce to either an Head Cycle Free or an Head Elementary-set Free theory, the algorithm is polynomial in the size of the theory.
The Role of E-Learning in Promoting the Use of Learning Organization Strategies by Al-Azhar and Islamic Universities from the Faculty Members’ Perspective

This study aimed to identify the role of e-learning in enhancing the practice of learning organization strategies by Palestinian universities (Al-Azhar - Islamic) in Gaza governorates from the point of view of the faculty members, and to find out if there were statistically significant differences between the means of their assessment scores attributed to the study variables: (University - Years of Service - Academic Rank). To achieve these objectives, the descriptive, analytical method was used by administering a questionnaire consisting of (50) items and divided into four areas. The study sample consisted of (100) faculty members from the two universities. The results showed that the total score of the role of e-learning in enhancing the practice of learning organization strategies by Palestinian universities was medium with a relative weight of (76.6%). The first area (quality and support of education) ranked first with a relative weight of 78.6%. The third area (competitive feature and collaborative learning) was given the last rank with a relative weight of (73.0%). There were no statistically significant differences at the level of significance )α≤0.05) between the mean scores of the study respondents regarding the role of e-learning in enhancing the practice of learning organization strategies by the Palestinian universities attributed to all the study variables: (college, university, years of service and academic rank). It was recommended that specialists in the field of e-learning should be appointed in each of the colleges of the university whose task would be to overcome the obstacles, and to strengthen faculty members’ competence in the field of electronic self-learning techniques, and to contribute to the production of knowledge.&#x0D; Keywords: e-learning, Palestinian universities, learning organization strategies.
No More Missing Inventory: Blockchain and RFID Technology Applications within the Retail Inventory Management System

Over the last two years blockchain technology has presented itself as a potential digital transformation that could disrupt and revitalize many business models. However, this digital transformation is still new and many companies grapple with possible applications of its theoretically sound benefits. Academic research is scarce and often limited to high level perspectives on how blockchain can benefit businesses in general. The time is right for exploring specific applications of the technology. This research considers how the digital transformation to blockchain could impact inventory management practices within the retail industry. The research relies on data collected through phenomenological interviews with management personnel of three clothing retail store franchisees.
Penerapan Model Pembelajaran Contextual Teaching and Learning (CTL) Untuk Meningkatkan Prestasi Belajar Siswa

In general , the purpose of this research is to apply a learning model that can improve student achievement . Specifically, the objectives of this study are to: (1). Know and analyze the learning conditions in SD Kagok before applying the CTL learning model. (2). Analyzing the effectiveness of the CTL learning model can improve student achievement which is higher than previous learning outcomes that are not using the CTL learning model at SD Negeri Kagok. Slawi District, Tegal Regency. Knowing the form of support from the principal, other teachers and facilities in the implementation of the CTL learning model. This research method uses a pre and post test experimental design. This phase includes several activities, namely; (a) conducting a pretest (pretest), (b) conducting an observation, interview/interview, (c) conducting a final test (posttest). Conducting a pretest (pretest) to one group/class before applying the CTL model. Conducting a final test (posttest) to the group/class after applying the CTL model. Perform analysis by comparing pre-test and post-test scores with t-test. From the results of calculations using the t-test, it is obtained that the empirical t-test is greater than the t-test in the table, so it can be concluded that the CTL learning model is more effective.
SISTEM INFORMASI ADMINISTRASI SURAT TINGKAT RT BERBASIS WEB (STUDI KASUS RT 040 KELURAHAN PESAWAHAN)

Reference letters play an important role in the management of population administration at the sub-district (kelurahan) level. When the residents need a reference letter for their specific purpose, they first must manage the request letter from RT and deliver it to the sub-district office. However, during the COVID-19 pandemic, direct interaction among residents and sub-district officers should be avoided. Even, in some circumstances, the services by the sub-district office must be performed online. For this reason, a web-based RT Level Letter Administration Information System was developed by applying the waterfall approach. The user interaction and communication are modeled by Unified Modeling Language (UML). The system is implemented using PHP. The assessment of the functionality of the system by the Black Box Testing indicates that the system conforms to its requirements. This system is ready to deploy in RT 040 of sub-district Pesawahan, Bandar Lampung to serve residents.
SISTEM INFORMASI MONITORING TRANSAKSI PADA KANTOR PERWAKILAN BANK INDONESIA PROVINSI LAMPUNG BERBASIS WEB

The information system of transaction monitoring at the Representative Office of Bank Indonesia in the Lampung Province is a system that aims to provide features in accordance with the needs of related information systems such as managing transaction data, monitoring transaction files, and verifying transaction data. The system development process uses the extreme programming method, and in the system testing process uses black box testing and user acceptance tests. Initial data collection was carried out by conducting observations and interviews with Bank Indonesia employees in Lampung Province to obtain functional requirements related to user stories, and to obtain system acceptance criteria or user acceptance criteria. System functionality testing is carried out using the black box testing method, while system acceptance testing is carried out using the user acceptance test method. Based on the black box testing, and the user acceptance test, the entire functional system has been accepted, and can be used at the Bank Indonesia Representative Office, Lampung Province.
A Gift that Keeps on Giving: The Impact of Public-Key Cryptography on Theoretical Computer Science

chapter Share on A Gift that Keeps on Giving: The Impact of Public-Key Cryptography on Theoretical Computer Science Author: Joan Feigenbaum View Profile Authors Info & Claims Democratizing Cryptography: The Work of Whitfield Diffie and Martin HellmanAugust 2022 Pages 157–184https://doi.org/10.1145/3549993.3550000Published:26 August 2022Publication History 0citation3DownloadsMetricsTotal Citations0Total Downloads3Last 12 Months3Last 6 weeks1 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
Creating an Open Community of Cryptographers

chapter Share on Creating an Open Community of Cryptographers Author: Hilarie Orman View Profile Authors Info & Claims Democratizing Cryptography: The Work of Whitfield Diffie and Martin HellmanAugust 2022 Pages 185–212https://doi.org/10.1145/3549993.3550001Published:26 August 2022Publication History 0citation5DownloadsMetricsTotal Citations0Total Downloads5Last 12 Months5Last 6 weeks4 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
An Improved Algorithm for Computing Logarithms over <i>GF</i> ( <i>p</i> ) and Its Cryptographic Significance

chapter Share on An Improved Algorithm for Computing Logarithms over GF(p) and Its Cryptographic Significance Authors: Stephen C. Pohlig View Profile , Martin E. Hellman View Profile Authors Info & Claims Democratizing Cryptography: The Work of Whitfield Diffie and Martin HellmanAugust 2022 Pages 415–430https://doi.org/10.1145/3549993.3550009Published:26 August 2022Publication History 0citation5DownloadsMetricsTotal Citations0Total Downloads5Last 12 Months5Last 6 weeks1 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
The Development of a Crypto Policy Community: Diffie–Hellman’s Impact on Public Policy

chapter Share on The Development of a Crypto Policy Community: Diffie–Hellman’s Impact on Public Policy Author: Susan Landau View Profile Authors Info & Claims Democratizing Cryptography: The Work of Whitfield Diffie and Martin HellmanAugust 2022 Pages 213–256https://doi.org/10.1145/3549993.3550002Published:26 August 2022Publication History 0citation2DownloadsMetricsTotal Citations0Total Downloads2Last 12 Months2Last 6 weeks1 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
Text and Photo Credits

chapter Share on Text and Photo CreditsDemocratizing Cryptography: The Work of Whitfield Diffie and Martin HellmanAugust 2022 Pages xix–xxhttps://doi.org/10.1145/3549993.3549995Published:26 August 2022Publication History 0citation5DownloadsMetricsTotal Citations0Total Downloads5Last 12 Months5Last 6 weeks0 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