Reviewerly/exHarmony huggingface dataset:
A Verifiable Dynamic Multi-user Searchable Encryption Scheme without Trusted Third Parties

Searchable encryption is a cryptographic primitive that allows users to search for keywords on encrypted data. It allows users to search in archives stored on cloud servers. Among searchable encryption schemes, those supporting multiuser settings are more suitable for daily application scenarios and more practical. However, since the cloud server is semi-trusted, the result set returned by the server is undefined, and most existing multi-user searchable encryption schemes rely heavily on trusted third parties to manage user permission. To address these problems, verifiable multi-user searchable encryption schemes with dynamic management of user search permissions, weak trust on trusted third parties and are desirable. In this paper, we propose such a scheme. Our scheme manages user permission and key distribution without a trusted third party. User search permission and user access permission matrices are generated separately to manage user permissions dynamically. In addition, our scheme can verify the result set returned by the cloud server. We also show that our scheme is index and trapdoor indistinguishable under chosen keyword attacks in the random oracle model. Finally, a detailed comparison experiment is made by using the actual document data set, and the results show that our scheme is efficient and practical.
Bedukmawa: Marketplace and Fintech Design for Student Entrepreneurship in the Industrial Revolution 4.0 Era

Research Aims : The buying and selling system can no longer be manual instead it must be based on information technology so that it can be accepted by millennials and make them have a strong entrepreneurial spirit. For this reason, the movement of “Belabeli Produk Mahasiswa” (Bedukmawa) offers solutions to millennial generation the entrepreneurial challenges. Bedukmawa is an entrepreneurial movement based on demand-pull or pulling needs with incentives from the campus to encourage the buying movement by students to other students, so that with this transaction movement there will be a producing and selling movement naturally. The producing and marketing actions are the atmosphere that is raised on campus so that the university has a role in making it happen by providing stimulative funds for it. Bedukmutu is a web-based application that uses the concept of IoT (Internet of Things) that upholds convenience and public acceptance for millennial generation students. Hence, the purpose of this study is to obtain direction on entrepreneurship design on the campus that can encourage students to practice entrepreneurship effectively and efficiently in the era of the industrial revolution 4.0. Design/Methodology/Approach : In evaluating the Bedukmawa operation, we involve some users to conduct Focus Group Discussion (FGD), they were academic community groups, namely the lecturer group and the university leadership group. Research Findings : The results of applying this Bedukmawa application for a year at University Muhammadiyah Yogyakarta as an object of research produced an extraordinary output, in which the student entrepreneurship movement has reached billions of rupiahs monthly and with this application, IoT Big Data is presented, in which it provides various measurable information in multiple ways. Theoretical contribution/Originality : This paper is an initial research that discusses how policies in creating a marketplace in campus using a web-based application can be integrated with entrepreneurial learning practices for students. Practitioner/Policy implication : This paper provides a practical overview related to how the marketplace can be formed in a campus environment using a web-based application so that it can support students to learn entrepreneurship in a real way. Research limitation/Implication: This paper only provides a framework based on one of private campus experiences in Indonesia. Replication of this policy on other campuses may require certain adjustments given the environment and culture of each campus is different.
A Synchronized Word Representation Method With Dual Perceptual Information

The information used for human natural language comprehension is usually perceptual information, such as text, sounds, and images. In recent years, language models that learn semantics from single perceptual information sources (text) have gradually developed into multimodal language models that learn semantics from multiple perceptual information sources. Sound is perceptual information other than text that has been proven effective by many related works. However, there is still a need for further research on the incorporation method for perceptual information. Thus, this paper proposes a language model that synchronously trains dual perceptual information to enhance word representation. The representation is trained in a synchronized way that adopts an attention model to utilize both text and phonetic perceptual information in unsupervised learning tasks. On basis of that, these dual perceptual information is processed simultaneously, and that is similar with the cognitive process of human language understanding. The experiment results show that our approach achieve superior results in text classification and word similarity tasks with four languages of data set.
Design of Wireless Network System for Digital Village Using Wireless Distribution System

The purpose of this research is to create a wireless network design in Cijambe Village using WDS so that Cijambe Village can enjoy internet services through wireless networks, which can be used to find information, communication, and market products owned by village communities. A wireless network is one of the best alternatives in building a computer network that is practical and flexible and has high mobility. Most organizations use wireless networks to support existing cable networks, but in reality, the wireless network still uses Unshielded Twisted Pair (UTP) cable media as the backbone of Access Points (AP). Cijambe Village is a village located in Paseh District, Sumedang Regency. Cijambe village is divided into two hamlets, namely Cijambe Hamlet and Parugpug Hamlet. Cijambe village has an area of 357 hectares. The research method used in this study is a qualitative descriptive research method. The steps taken in this research are analysis and design. the conclusion is that wireless network design for digital villages using Wireless Distribution System (WDS) has a better degree of flexibility than the backbone that uses Unshielded Twisted Pair (UTP) cable. Radio wave signals from 19 AP units can reach the entire area of Cijambe Village which has an area of 357 hectares and is divided into 2 hamlets namely, Hamlet Cijambe and Parugpug Hamlet. The design made has thought of a standard level of security with routers and firewalls.
Pengujian Software Aplikasi Perawatan Barang Milik Negara Menggunakan Metode Black Box Testing Equivalence Partitions

The quality of software can be measured. One of them is by its functionality, whether it is suited to user requirements or not. To maintain the quality of the software, testing needs to be conducted during the development stage to ensure that there are no errors or bugs. Tests carried out on the state property maintenance software are focused on the functional module of item replacement by using the black box testing equivalence partitions method. The final result of this test is to know the effectiveness level of the equivalence partitioning method by determining the application test case, initializing the standard input and output partition grade and testing dataset. The final result of the application test shows that the level of effectiveness of the functional goods replacement module is 93.2%
Information Management in Large-scale Disaster Exercises: An Integrated Perspective

Simulation exercises are fundamental for building knowledge, skills and capacities of participants to effectively address challenges in crisis management.A key element in emergency response and exercises are the capacities to work with information to support decision-making processes.However, not only exercise participants are dealing with challenges in information management (IM), but those controlling and directing exercises as well.Dynamic environments of exercises require IM capacities -for participants and directors-to optimize training opportunities.Despite common challenges, IM activities of exercise directors and participants have so far been considered as separate fields.This paper looks at these two perspectives as part of an integrated system and examines the similarities and differences of IM in two large-scale exercises.The parallels between them present options to further explore how alignment and -more importantly-synergy of IM practices between exercise participants and directors could improve the quality of information management training in exercises.
High temperature strain heterogeneities tracking within hole-specimens of FV566 turbine steel via digital image correlation

This paper presents experimental and numerical investigations to study spatial-temporal distributions of strain heterogeneities within a FV566 turbine rotor steel subjected to high temperature conditions. Strain field were determined during monotonic tensile tests performed on flat specimens containing a circular hole to give rise to heterogeneous strain fields. A home-made digital image correlation system with an image restoration module was developed and employed to record and analyse the deformation process till the macroscopic fracture of the investigated specimens. Noticeable in-plane strain concentration zones and effects of the sample design were highlighted and deeply examined. Experimental results combined with finite element analyses based on a classical Johnson-Cook model indicated that the hole shape was the important factor affecting the strength and the spatio-temporal distribution of the strain fields. Microstructural investigations were also conducted to characterize and assess the microscale damage features of the FV566 steel. The ruptured area for all the investigated temperature tests revealed ductile rupture behaviour. Changes on grain boundaries and misorientation near strain localized regions were also investigated. It was found that the propagation of cracks surrounding the hole in FV566 specimens was mainly affected by the nucleation and propagation of strain localization zones.
The Effectiveness of Using Mobile Learning Methods in Geometry for Students with Different Initial Mathematical Performance

The present study investigated the use of mobile learning on students' (with different initial mathematical performance), understanding in geometry. The sample of the study was consisted of 162 5th grade students at secondary education (16-17 years old) who were divided into experimental and control group. For the mobile learning the Euclidea app was installed by the experimental group in their smart phones and it was used at the teaching of specific geometrical concepts. Emphasis was given on students’ experiences. Although there were not any statistically significant differences between the two main groups concerning their performance, further analyses of the characteristics of the experimental group indicated that the mobile learning method was more efficient for students with low or medium performance than those with high initial performance on mathematics, highlighting that there is not any “ideal” method in the teaching of mathematics, however there are differentiation derived by inter-individual differences. Implications about the use of mobile learning in mathematics education are discussed, as the use of short term intervention programs cannot fulfil the goals of changing significantly the mathematical performance.
An Application for Alumni of Soegijapranata Catholic University

Sometimes it’s hard for the university to get the information about their own alumni after the graduation ceremony. The situation of the alumni is also the same. They felt difficult to reach their university after they got a job. Some services and documents are still needed by the alumni for any reason. In fact, people nowadays live with their smartphone really closely. The smartphone could help people to get information and services while keeping them close to their community. The mobile application should be built to connect alumni and university through a smartphone via information sharing about job vacancy and providing some university’s services. Some methods are used in the process of mobile application development, such as designing the application, programming, testing, and launching. Interview and survey are done to know the responses in using the application. The conclusions of the research are the application could help the alumni to get information and services, the university is able to gain the updated data of their alumni, and make both of them closer.
Quality Assessment for DIBR-Synthesized Images With Local and Global Distortions

Depth-Image-Based-Rendering (DIBR), as one important technique in 3D video system, can be used to generate virtual views. Unfortunately, the DIBR algorithms will introduce various distortions and induce an annoying viewing experience. And it has been proved that traditional 2D assessment quality metrics are not suitable for the DIBR-synthesized views. In this paper, we propose a novel approach to assess the quality of DIBR-synthesized images. The proposed method mainly considers three kinds of DIBR-related distortions: holes distortion, strip-sharped distortion and global sharpness. Holes and strip distortions as two local features are used to characterize the local quality of DIBR-synthesized image, respectively. For the global sharpness we consider the Just Notice Difference (JND) model of human eyes and use it to extract the JND-based global difference for analyzing the global quality. Finally, we combine the holes distortion evaluation, strip distortion evaluation and global quality to infer the overall perceptual quality. Extensive experiments indicate that our method achieves higher accuracy of quality prediction than most competing metrics.
IoT4Fun Rapid Prototyping Toolkit for Smart Toys

Rapid prototyping tools turn the design of smart toys faster and easier for creative teams.Appropriate tools for smart toys should meet a list of requirements, which include distributed data collection and adaptability for assorted toy shapes and size.The IoT4Fun toolkit innovates by mixing the embedded, modular, and plugand-play approaches.It supports motion tracking data, wireless communication, and contactless identification.IoT4Fun demonstrates its effectiveness to design a variety of smart toy solutions by fitting into a hula-hoop toy until spherical, cubic, and wearable shapes.Solutions connect with either mobile applications or other toys and play rules range from open-ended to closed behaviors.End-users exhaustively tested developed solutions, and technical assessment evaluates their integrity after playtesting sessions.Results show comparative data on battery consumption and vulnerabilities threats for data security and privacy of each design.Future versions of IoT4Fun can benefit from miniaturization, robustness, and reliability improvements.
Enhancing Security on Touch-Screen Sensors with Augmented Handwritten Signatures

We aim at enhancing personal identity security on mobile touch-screen sensors by augmenting handwritten signatures with specific additional information at the enrollment phase. Our former works on several available and private data sets acquired on different sensors demonstrated that there are different categories of signatures that emerge automatically with clustering techniques, based on an entropy-based data quality measure. The behavior of such categories is totally different when confronted to automatic verification systems in terms of vulnerability to attacks. In this paper, we propose a novel and original strategy to reinforce identity security by enhancing signature resistance to attacks, assessed per signature category, both in terms of data quality and verification performance. This strategy operates upstream from the verification system, at the sensor level, by enriching the information content of signatures with personal handwritten inputs of different types. We study this strategy on different signature types of 74 users, acquired in uncontrolled mobile conditions on a largely deployed mobile touch-screen sensor. Our analysis per writer category revealed that adding alphanumeric (date) and handwriting (place) information to the usual signature is the most powerful augmented signature type in terms of verification performance. The relative improvement for all user categories is of at least 93% compared to the usual signature.
Markerless Augmented Reality (MAR) through Learning Comics to Improve Student Metacognitive Ability

This study aims to apply the concept of markerless augmented reality through learning comics to improve students' metacognitive abilities, metacognitive abilities need to be improved because they relate to creativity, creativity and the correlation of other abilities in learning. This study uses the Borg and Gall development method with the aim of developing consistent and disseminated products, the result of this research is the development of Augmented Reality applications with the Markerless AR concept coupled with learning comics that have passed expert validation tests with an average percentage validity of 98.3%, then the material developed in this study also fulfills the learning outcomes with an average percentage of validity from material experts at 97.9%. Besides that, the development of AR Application with the concept of Markless AR has an average value of the percentage of prospective user trials of 98.1%, it is said to be high in the level of usability and level of flexibility of use. with a test value of 0.981. This increase is possible because other factors namely imaginative abilities and integration capabilities also increased due to the use of Markerless AR. It can be concluded that markerless augmented reality research through learning comics can improve students' metacognitive abilities.
A Web-Based Medical Text Simplification Tool

With the increasing demand for improved health literacy, better tools are needed to produce personalized health information efficiently that is readable and understandable by the patient.In this paper, we introduce a web-based text simplification tool that helps content-producers simplify existing text materials to make them more broadly accessible.The tool uses features that provide concrete suggestions and all features have been shown individually to improve the understandability of text in previous research.We provide an overview of the tool along with a quantitative analysis of the impact on medical texts.On a medical corpus, the tool provides good coverage with suggestions on over a third of the words and over a third of the sentences.These suggestions are over 40% accurate, though the accuracy varies by text source.
Multi-Factor Authentication through Integration with IMS System

The main concern for the customers and the organizations to use services offered by Cloud computing providers is the confidentiality and security of the data stored using the sharable infrastructure.Customers also want to use the support provided by the service providers according to their application requirements, which leads to the configuration of the infrastructure provided to the customers as per their requirements.Most of the cloud computing services provided are rigid and do not allow customers to make changes.Users have options to use Open source-based cloud computing systems such as OpenStack, but these platforms to suffer from various weaknesses especially exposing the vulnerabilities attacked.OpenStack open-source cloud computing systems are frequently being used by many users who want to build a cloud computing infrastructure on their own for either private or public purposes.A dedicated component "Keystone" of OpenStack used for providing security to the resources provisioned and used by the users through processes that are related to authentication, authorization, access control and data security.Keystone uses Ferment Tokens for Authentication and Authorization which exposes much vulnerability.Many authentication systems are in use such as Active Directory System, Integrated Management System etc.The use of such order within the Cloud Computing Architecture helps to implement a high level of security to the user programs and Data.Multi-Factor systems used for implementing high-level security which takes benefit of two authentication systems which are interconnected, while one system being native, the other could be an external authentication system such as ADDS or IMS.In this paper, a Multi-factor based authentication system implemented that focuses on integrating the "Keystone" based authentication system achieved within OpenStack, and Integrated identity Management System applied within the RED Hat Operating System.
A Deception Planning Framework for Cyber Defense

The role and significance of deception systems such as honeypots for slowing down attacks and collecting their signatures are well-known.However, the focus has primarily been on developing individual deception systems, and very few works have focused on developing strategies for a synergistic and strategic combination of these systems to achieve more ambitious deception goals.The objective of this paper is to lay a scientific foundation for cyber deception planning, by (1) presenting a formal deception logic for modeling cyber deception, and (2) introducing a deception framework that augments this formal modeling with necessary quantitative reasoning tools to generate coordinated deception plans.To show expressiveness and evaluate effectiveness and overhead of the framework, we use it to model and solve two important deception planning problems:(1) strategic honeypot planning, and (2) deception planning against route identification.Through these case studies, we show that the generated deception plans are highly effective and outperform alternative random and unplanned deception strategies.
Generalized Structure Preserving Preconditioners for Frame-Based Image Deblurring

We are interested in fast and stable iterative regularization methods for image deblurring problems with space invariant blur. The associated coefficient matrix has a Block Toeplitz Toeplitz Blocks (BTTB) like structure plus a small rank correction depending on the boundary conditions imposed on the imaging model. In the literature, several strategies have been proposed in the attempt to define proper preconditioner for iterative regularization methods that involve such linear systems. Usually, the preconditioner is chosen to be a Block Circulant with Circulant Blocks (BCCB) matrix because it can be efficiently exploit Fast Fourier Transform (FFT) for any computation, including the (pseudo-)inversion. Nevertheless, for ill-conditioned problems, it is well known that BCCB preconditioners cannot provide a strong clustering of the eigenvalues. Moreover, in order to get an effective preconditioner, it is crucial to preserve the structure of the coefficient matrix. On the other hand, thresholding iterative methods have been recently successfully applied to image deblurring problems, exploiting the sparsity of the image in a proper wavelet domain. Motivated by the results of recent papers, we combine a nonstationary preconditioned iteration with the modified linearized Bregman algorithm (MLBA) and proper regularization operators. Several numerical experiments shows the performances of our methods in terms of quality of the restorations.