Reviewerly/exHarmony huggingface dataset:
Breaking (and Fixing) Channel-based Cryptographic Key Generation: A Machine Learning Approach

Several systems and application domains are under-going disruptive transformations due to the recent breakthroughs in computing paradigms such us Machine Learning and commu-nication technologies such as 5G and beyond. Intelligent trans-portation systems is one of the flagship domains that witnessed drastic transformations through the development of ML-based environment perception along with Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (V2I) communication protocols. Such connected, intelligent and collaborative transportation systems represent a promising trend towards smart roads and cities. However, the safety-critical aspect of these cyber-physical systems requires a systematic study of their security and privacy. In fact, security-sensitive information could be transmitted between vehicles, or between vehicles and the infrastructure such as security alerts, payment, etc. Since asymmetric cryptography is heavy to implement on embedded time-critical devices, in addition to the complexity of PKI-based solutions, symmetric cryptography offers confidentiality along with high performance. However, cryptographic key generation and establishment in symmetric cryptosystems is a great challenge. Recent work proposed a key generation and establishment protocol for ve-hicular communication that is based on the reciprocity and high spatial and temporal variation properties of the vehicular communication channel. This paper investigates the limitations of such channel-based key generation protocols. Based on a channel model with a machine learning approach, we show the possibility for a passive eavesdropper to compromise the secret key in a practical manner, thereby undermining the security of such key establishment technique. Moreover, we propose a defense based on adversarial machine learning to overcome this limit.
CONSTRUING ACTS OF VOICING IN CHRISTINA DALCHER'S VOX THROUGH VULNERABILITY METAPHORS.

In the digital era, and especially in the context of the fourth industrial revolution, where everyone’s digitally mediated voice can, potentially, reach the entire world, Dalcher’s dystopian novel, Vox, expresses a very real fear of being silenced. In modern America, 1 a purist movement voted into power has silenced all women and girls overnight. The novel investigates the intersection of physicality and the immateriality of spoken words. The narrator’s voice, sober but without restriction, contrasts sharply with the limitations imposed around her and uncovers the silent horror of a dystopian America where half the population has lost all rights of self -disposal, both physical and discursive. Employing the conceptual metaphor theory of Lakoff and Johnson (2003), this study explores metaphors in Vox that shape discourse(s) on voicing vulnerability and on voice as visibility through an interdisciplinary discourse analysis that draws on the fields of literature and linguistics.
Prelims

Citation (2023), "Prelims", Kim, S.-J. (Ed.) Fintech, Pandemic, and the Financial System: Challenges and Opportunities (International Finance Review, Vol. 22), Emerald Publishing Limited, Bingley, pp. i-viii. https://doi.org/10.1108/S1569-376720220000022017
THE APPLICATION OF INVENTORY ACCOUNTING INFORMATION SYSTEMS AT MANUFACTURING ENTERPRISES

Accounting Information System for material inventory is a very important part for manufacturing companies to carry out supervision in order to avoid risks during the production process. Internal control over material inventory is expected to be able to reduce the possibility of collusion, human error and various other frauds on material inventory. To avoid this, it is necessary to know the internal control system for raw material inventory. Every activity that involves the inventory of materials must be guided by standard operating work procedures attached to an adequate internal control system. All management and employees of manufacturing companies have roles and responsibilities in improving the quality and implementation of the internal control system, as well as the supervisory function.
IMPLEMENTASI ARTIFICIAL INTELLIGENCE PADA PENGEMBANGAN SISTEM DETEKSI LIMBAH INDUSTRI PRODUK KULIT OTOMATIS

Rapid globalization has led to the growth of a significant amount of waste, including in the industry. Due to the considerable amount of growth of waste every year, effective and efficient waste management is needed to protect our environment. In the leather product industry, waste management is strongly important since it may have a significant impact to the employee and production process. Regarding those issues, waste management technology is considered proposed in order to solve those problems. Current research reported the outstanding work of implementing artificial intelligence for detecting and recognizing industrial waste. Artificial intelligence was proven to be a highly recommended approach that is able to classify several waste types with outstanding performance. Regardless of those facts, artificial intelligence still remains several hurdles, such as the high computational demands, especially for deep learning networks. Regarding the mentioned issue, we proposed a more proper deep learning network for recognizing industrial waste. In this research work, we use Single Shot Detector (SSD) to recognize and classify industrial waste. Our proposed solution was performed in the TrashNet dataset and Waste Picture dataset. Our proposed solution successfully achieve mAP of 0.8813, accuracy of 0,9795, precision of 0,9985 and recall of 0,9693 in the training process. Whereas, in the testing process we achieve average accuracy of 0,8254. According to those results, we can conclude that our proposed solution is suitable for industrial waste detection and has potential to be implemented as an embedded system for recognizing industrial waste automatically.
Attack resistant chaos-based cryptosystem by modified baker map and logistic map

In this paper, a new substitution-diffusion type chaos-based cryptosystem is proposed, which can encrypt greyscale images having arbitrary resolution. In substitution, image pixels are permuted using a modified form of the discretised 2-D Baker map, followed by a two-step diffusion approach, which employs a chaotic logistic map. The proposed cryptosystem is resistant to brute force attacks (measured by key-space and key-sensitivity analysis), statistical attacks (tested by histogram and chi-square test) and differential attacks (measured against NPCR, UACI, and hamming distance); the proposed method has also been tested for encryption quality, correlation analysis, entropy analysis, and performance analysis by measuring encryption speed as well as time complexity. Therefore, it is sufficiently secured to be used in real-world applications. To prove the unparalleled outcome of the proposed system, four sets of comparisons have been presented with respect to NPCR and UACI, Encryption throughput, and, lastly, with similar and non-similar existing cryptosystems.
PENERAPAN APLIKASI INLISLITE BERBASIS SISTEM INFORMASI MANAJEMEN DI SMKN 1 PRAYA TENGAH

This study aims to describe what impacts occur when implementing the Inlislite application system based on a management information system in the library of SMKN 1 Praya Tengah. This study uses a qualitative research design and is analyzed by making rich and thick descriptions. Research at the data collection stage uses a grounded theory approach. Based on the results of the research, it can be concluded that Inlislite has a positive impact, because it can improve library services at SMKN 1 Praya Tengah because librarians process data on borrowing and returning books faster. In addition, there were technical problems in implementing inlislite at SMKN 1 Praya Tengah which resulted in the existing system running slowly. The recommendations for this research are: 1) To separate schools from Inlislite, and add library facilities in the form of the latest generation of computers; 2) Provide regular Inlislite training and guidance to Librarians, so that Librarians are more adept at operating Inlislite.
SISTEM PELAYANAN ADMINISTRASI SIM (SURAT IZIN MENGEMUDI) BERBASIS ANDROID

The Service Management Information System (Sistem Informasi Manajemen Pelayanan SIM - SIMPEL SIM) application which currently running is quite helpful for the internal reporting process, the SIMPEL SIM application runs on a local Server. However, there are several obstacles related to speed caused by the accumulation of SIM application files, manually writing registration data takes a quite long time. The purpose of this research is the development of a pre-existing SIM service information system, by creating an Android-based online SIMPEL SIM application that is integrated with the local SIMPEL SIM Server and the Traffic Attitude Record (TAR) online Server owned by the National Police. In addition, a computer network device architecture was also built to support data exchange between local Servers, online SIM registration Servers and TAR online Servers. The methodology used is the waterfall model approach. The online SIMPEL SIM application can provide a solution to the speed of service of the Pamekasan SATPAS Police Resort and SIM applications recommendations for officers, as well as convenience for the public in registering a SIM along with the public ability to automatically print the registration form on the standalone self service machine at the Satpas office by scanning the digital barcode provided when register online, evidenced by the usability measurement using SUS reaching a score of 72.8 and categorized into good.&#x0D; Keywords: SIM online, traffic attitude record, Pamekasan police resort, driving licence&#x0D; &#x0D; ABSTRAK&#x0D; Aplikasi Sistem Informasi Manajemen Pelayanan (SIMPEL SIM) yang sudah berjalan saat ini cukup membatu untuk proses pelaporan internal, aplikasi ini berjalan pada local Server. Namun ada beberapa kendala terkait kecepatan yang disebabkan karena antrian di loket registrasi yang disebabkan penumpukan berkas permohonan SIM, penulisan data registrasi secara manual membutuhkan waktu yang cukup lama. Tujuan dari penelitian ini pengembangan sistem informasi pelayanan SIM yang sudah ada sebelumnya, dengan membuat aplikasi SIMPEL SIM Online berbasis Android yang terintegrasi dengan lokal Server SIMPEL SIM dan Server online Traffic Attitude Record (TAR) yang dimiliki oleh institusi Polri. Selain itu juga dibagun arsitektur perangkat jaringan komputer untuk menunjang pertukaran data antara Server lokal, Server registrasi SIM online dan Server online TAR. Metodelogi yang digunakan dengan pendekatan waterfall model. Aplikasi SIMPEL SIM Online bisa memberikan solusi terhadap kecepatan pelayanan Satpas Polres Pamekasan dan rekomendasi permohonan SIM bagi petugas, serta kemudahan bagi masyarakat dalam melakukan registrasi SIM dan masyarakat bisa mencetak formulir registrasi secara otomatis pada mesin anjungan mandiri di kantor satpas dengan menscan digital barcode yang diberikan saat melakukan registrasi secara online, dibuktikan dengan pengukuran usability menggunakan SUS mencapai skor 72.8 dan dikategorikan ke dalam good/baik.&#x0D; Kata Kunci: SIM online, traffic_attitude_record, Pamekasan
Cumulative author index Volume 31 (2022)

International Journal of Modern Physics DVol. 31, No. 16, 2299001 (2022) Free AccessCumulative author index Volume 31 (2022)https://doi.org/10.1142/S0218271822990012Cited by:0 Previous AboutSectionsPDF/EPUB ToolsAdd to favoritesDownload CitationsTrack CitationsRecommend to Library ShareShare onFacebookTwitterLinked InRedditEmail You currently do not have access to the full text article. Recommend the journal to your library today! FiguresReferencesRelatedDetails Recommended Vol. 31, No. 16 Metrics History PDF download
Privacy-Preserving Public Auditing for Shared Data in Mobile Cloud Storage

With the mobile cloud storage services, mobile users can easily form a group and share data with each other. Given the fact that the cloud are not trustable, a third party public auditor can be introduced to audit data integrity, and supporting group dynamics and protecting the privacy of the original user of shared data from the public auditor is a fundamental issue during the auditing. In this paper, we propose a new identity privacy-preserving public auditing scheme for the integrity of group data with efficient group dynamics utilizing the multilinear maps based Diffie-Hellman Key Exchange protocol. With our proposed scheme, a third party auditor is able to audit the integrity of shared data without learning private identity information of the group members, and proxy re-signatures are used here to allow the cloud to do the re-computing to support group dynamics (user join and user revocation). Besides, our scheme also supports secure and efficient public auditing due to our improved polynomial-based authentication tags. The security and performance analysis shows that our proposed scheme is secure and highly efficient.
Correlations between the Motivational Persistence Scale and the Efficacy on Online Medical Learning

The online learning is not a new concept but, until in 2020, it was rather theoretical, being applied only in limited areas; the COVID-19 pandemics, instead, transformed it in the only possible way to maintain normality and to continue with the educational process. In this regard, we conducted a study between 2020 and 2022, on a sample of 551 students, 23.8% males and 76.2% females, with an average age of 21.78 ± 3.736 years; we invited them to specify their opinion about the online education in which they participated during the pandemics and we correlated their answers with their psychological learner profile, evaluated using the Motivational Persistence Scale. The study revealed the following conclusions: the medical students generally enjoy the online learning activities because they are more convenient, flexible, and the tasks can be customized to be solved at their own pace; the main noticed disadvantages are the lack of direct communication and human interaction with the teachers and the specific limits of some disciplines that cannot be easily and efficiently transposed into the online environment; the students with high scores on the Motivational Persistence Scale and a strong will to get involved in achieving long-term goals and fulfilling the current tasks, have favorable opinions about the online learning and participated actively at online learning activities, despite the disadvantages they have noticed; the tenacious students, who are able to recall and to continue with their untouched goals, tend also to be open to the further participation at online education activities.
Supplemental Material for Improving Hierarchical Models of Individual Differences: An Extension of Goldberg’s Bass-Ackward Method

a URL, doi, or other permanent path for accessing the specified information in a public, openaccess repository, and the specified information must be provided in a format that is time-stamped, immutable, and permanent.Qualifying public, open-access repositories are committed to preserving data, materials, and/or registered analysis plans and keeping them publicly accessible via the web in perpetuity.Examples include the Open Science Framework (OSF) and the various Dataverse networks.Hundreds of other qualifying data/materials repositories are listed at http://re3data.org/.Preregistration of an analysis plan must take place via a publicly accessible registry system (e.g., OSF, ClinicalTrials.govor other trial registries in the WHO Registry Network, institutional registration systems).Personal websites and most departmental websites do not qualify as repositories.
Blended Teaching Reform of College Viewing, Listening&amp; Speaking Course based on SPOC

In the new era of information technology, teaching reform integrating new technology is unstoppable. To realize the deep reform of teaching is to integrate the information technology and education at depth. The organic integration of “independent online learning” and “face-to-face teaching classroom” will become a guiding direction for the teaching reform in college education. As the demonstrative project of College Education Reform in Guangzhou Huashang College, the blended teaching mode of College Viewing, Listening&amp; Speaking Course, breaks the limitation of time and space, and the shortage of traditional one-way classroom teaching, by integrating the SPOC course into the blended teaching, so as to realize the organic combination in the promotion of English language and culture and the building of correct values among students.
Establishment of Medical Transport Sharing Service System for Elderly Community based on GIS Technology

Community pension can mobilize the enthusiasm of the elderly group to participate in the community, in the elderly group gradually retire, have a lot of free time, time arrangement and life pace has changed dramatically, community pension will provide the elderly group with activities and outdoor space within their ability, increase the interaction and communication between the elderly group, strengthen the body, realize self-space, and improve the level of community medical services. Technology empowers the community pension system to accurately match the needs of the elderly group, and at the same time explores the technology empowerment through data mining, shifting from passive service to autonomous service, providing personalized and precise services for the elderly group, and better providing services such as medical care and psychological counseling, carrying out interactive services, and promoting the "technical pension" of the elderly group, which will be elaborated in this article.
Improved Multiscale Learning Dictionary Image Denoising Algorithm in Curved Wave Domain

It was proposed to develop a better multiscale learning dictionary picture de-noising technique. The approach improves the adaptive threshold curvilinear transform, which can divide an image into different scale information and be used to build a curvilinear multiscale learning dictionary. The method finished the dictionary and sparse coefficient updates in the picture through circular iterations and then superimposed the matching curvilinear wave domain image blocks and performed the curvilinear inverse transform to generate the denoised image. The test was carried out by adding additive Gaussian noise to a standard grayscale image, and the results revealed that the peak signal-to-noise ratio of the grayscale image de-noising result of this paper’s method was improved by 56.6% on average, and the structural similarity was improved by 0.44 on average, compared to the conventional de-noising algorithm. It was determined that the enhanced approach preserved the picture’s edge and texture information well, that image quality was greatly improved, and that the algorithm’s execution efficiency was superior to that of the conventional de-noising algorithm.
Improving Students’ Vocabulary through Make a Match Technique and Number Head Together (A Classroom Action Research at SMP Negeri 2 Langowan)

The purpose of this study is to increase students' vocabulary through "make a match" and "number head together" techniques with the students of SMP Negeri 2 Langowan. The sample was composed of 25 first-grade students. This study is classified as "action research" because it is conducted in a cycle. The first grade students were taken as samples for this research. The instruments used to collect data consisted of a reflective journal, field notes, and tests. The data were analyzed in a way that triangulates the data sources. The result shows that with the application of the "make a match" technique in Cycle 1, only a very few students gained progress in vocabulary with a mean score of 5.52. By applying the "number head together" technique in Cycle 2, more students were able to understand and use vocabulary. It was shown in this cycle that there was some progress made by the students in acquiring reading competency, with the mean score of the test being 6.56. By applying the Make, a Match technique and the Number Heads Together technique in Cycle 3, most of the students made great progress, with a mean score of 8.04.&#x0D; &#x0D;
Consistent Design of Relational Databases using EERCASE

This article introduces EERCASE, a Computer Aided Software Engineering tool that is based on the best practices of the Model Driven Development paradigm to provide a consistent environment for relational database design. EERCASE follows the graphical notation of the Enhanced Entity–Relationship model according to Elmasri and Navathe, implements the EERMM metamodel to avoid syntactically invalid constructs, shows and describes static semantic errors, and generates data definition code that takes into account advanced structural validations. The theoretical and technical framework used for the implementation of EERCASE is discussed, with emphasis on the restrictive and informative validations performed by it. In addition, considering feedbacks on modeling errors and code generation, EERCASE is also presented as a computational environment that favors active learning.
A controller for reaching and unveiling a partially occluded object of interest with an eye-in-hand robot

In this work, a control scheme for approaching and unveiling a partially occluded object of interest is proposed. The control scheme is based only on the classified point cloud obtained by the in-hand camera attached to the robot's end effector. It is shown that the proposed controller reaches in the vicinity of the object progressively unveiling the neighborhood of each visible point of the object of interest. It can therefore potentially achieve the complete unveiling of the object. The proposed control scheme is evaluated through simulations and experiments with a UR5e robot with an in-hand RealSense camera on a mock-up vine setup for unveiling the stem of a grape cluster.