Reviewerly/exHarmony huggingface dataset:
Multiparty Evaluation of Finite State Machine

Finite State Machine (FSM) is a mathematical model of computation. FSM is often used to model the systems as a sequence of states and actions. The state captures the behavior of the system, and transition represents the action in the system. This paper presents a mechanism of privately evaluating FSM in the presence of the semi-honest adversary. We consider a set of mutually distrustful parties who want to evaluate a string on a FSM. Both the FSM and the input string are shared among the parties using a threshold secret sharing mechanism. Party individually does not know the FSM nor the input. Multiparty computation allows the parties to process the string on the FSM, collaboratively. During the execution, parties learn nothing more than the acceptance of the string.
ANALISIS PENGGUNAAN KATA AJAKAN DALAM MENULIS TEKS PERSUASI PADA SISWA KELAS SMP

This research is motivated by the problems faced by students in writing persuasion texts, especially on linguistic rules. The distinctive feature of persuasion text is in one of its linguistic rules, namely the invitation word, this study focuses on the type of invitation word, and the purpose is to find out what invitation words are used by persuasion by class VIII students of Annur Lemahabang in writing text. The method used in this study is a qualitative method. The instruments used were in the form of tests and data collection techniques in this study, namely the results of writing persuasion texts of grade VIII students as much as 20. The results of the analysis contained five types of invitations words used by students, (1) the use of invitations to come on the highest percentage is 46%, (2) the next percentage sequence is ayakan invitations word that is as much as 29%, (3) then the next sequence is the word starts as much as 11%, (4) the lowest percentage number shows 7% ie on the word type do it, and (5) keep the word showing the same percentage as the word do that is 7%. These results indicate that the invitation word that is often used by students in writing persuasive texts is the word 'let'.
Don't hesitate to share!

In cloud-based Internet of Things (IoT), sharing of data with third-party services and other users, inherently incurs potential risk and leads to unique security and privacy concerns. Existing cryptographic solutions ensure the security of IoT data, but due to their significant computational overhead, most of them are not suitable for resource-constrained IoT devices. To address these concerns, we propose a data protection system to store encrypted IoT data in a cloud while still allowing query processing over the encrypted data. More importantly, our proposed system features a novel encrypted data sharing scheme based on Boneh-Goh-Nissim (BGN) cryptosystem, with revocation capabilities and in-situ key update. We perform exhaustive experiments on real datasets, primarily to assess the feasibility of the proposed system on resource-constrained IoT devices. We next measure the computation overhead, storage overhead and throughput. The experimental results show that our system is not only feasible, but also provides a high level of security. Furthermore, the results show that our system is 34% more computationally faster, requires 25% less storage and 15% more throughput than the best performed system in the state-of-the-art.
Digital forensics in the internet of things

The Internet of Things (IoT) increasingly spreads through different sectors of daily life. From Smart Home systems up to Industry 4.0 there are IoT devices in private use, public everyday life and industrial production. Due to the sprawling deployment of these devices they become witnesses and targets of crimes - physical or digital. On conventional computer systems, there are established computer forensic methods and tools to gather information, which contribute to the solving of such crime occurrences. In multiple domains IoT forensics is different from classical computer forensics and causes new kinds of problems. So far, there are few solutions addressing these problems. Therefore various approaches have to be examined and elaborated from the aspects of tracking down, identifying and reading the content of devices by analysing the acquired data. The work introduced in this proposal will elaborate different solution approaches, which respectively address several of the mentioned aspects.
Conceptualizing the cyber incident &amp; event statistics reporting standards

The development of technology led the cyberspace to be directly connected to the daily life. For a nation, it is essential to collect and analyze the statistics produced from cyber-attack incidents to formulate a policy. Specifically, in the Republic of Korea, the second most cyber-attacked country in the world, the synchronization between the cybersecurity technology and policy is essential. However, in current status, the statistics collected by the government ministries in Korea is varied. For instance, the Ministry of Defense and the Ministry of Science & Technology has a different standard in defining the event and incident and its numbers. Thus, the study aims to propose a standardized concept of cyber incident and event statistics which can provide singularized criteria which can be adopted across the ministerial disciplines. In order to provide aforementioned concept, the authors have posed following research questions. First, how to conceptualize the different types of cyber-attacks into a single standard of reporting cyber incidents? Second, what is the proper definition for cyber incident in both national and international levels of policy dialogue? Third, will the established concept can be proposed as an international standard? The authors first breakdown the scattered conceptual knowledge of cybersecurity by the methodology proposed by Gerring (1999) to provide a better concept which can deliver the better knowledge in cybersecurity policy. After, the authors propose the qualitative method in order to develop the single standard in collecting cyber incident statistics. Finally, the authors leave the possible extensions for future related research area based on the proposed method.
Use of Library Portal by Research Scholars of Indian Institute of Technology (IITs): A Comparative Study of Patna and Guwahati

The paper presents result of a questionnaire based survey of use of library portal by research scholars of IITs Patna and Guwahati. The findings revealed that majority of research scholars used library portal in IIT Patna and IIT Guwahati. The study identifies some problems faced by Guwahati research scholars. A few suggestions are made for further improvement and enrichment of the library portals to cater to the needs of the researchers.
Nonsingular Polynomials from Feedback Shift Registers

In this paper, we present nonsingular permutation polynomials from nonsingular feedback shift registers and examine nonlinearity and algebraic degree of nonsingular polynomials of certain forms. The upper bound on the nonlinearity of nonsingular Boolean functions is investigated. We also present [Formula: see text]-variable nonsingular Boolean functions with algebraic degree [Formula: see text] and highest possible nonlinearity for odd [Formula: see text].
A Solution to “Confused Deputy” Problem Using RWFM Labels

A client-server architecture mapped to a multi-level security (MLS) system maintain independent access restrictions for various system resources. Traditional access control mechanisms e.g., discretionary access matrix often lead to indirect access, therefore are incapable to enforce confidentiality and integrity at process-level. The confused deputy problem is well known in this regard where an unauthorized process may influence an authorized process to manipulate a protected object. In this paper, we propose a solution to confused deputy problem using a recently proposed novel mandatory access control (MAC) based security model RWFM. We demonstrate our approach through a reference monitor that adapts the proposed solution while performing process-level security check, and prevents indirect access to isolated sensitive objects. Further, we compare our solution with the existing literature towards the end of this paper.
Out-of-context fine-grained multi-word entity classification

In this paper, we present a number of experiments on the construction of fine-grained and out-of-context multi-word entity classification models. These models exploit a large BabelNet-derived multilingual Named Entity corpus of 49 languages from 7 different scripts, which is also presented in this work. In particular, we compare SVM-based character and token n-gram models with neural network-based ones and also explore language-specific variants against multilingual models. The various models have been evaluated on additional external Named Entity resources to gain further insight into the quality and re-usability of the trained models.
Conversion of 2D to 3D Technique for Monocular Images using Papilio One

A 3D image adds realism in viewing experience and can assist in simplifying the graphical displays.A Third dimension supplement to the input can improve pattern recognition, and can be used for 3D scene reconstruction and robot navigation.Recently popularity of 3D hardware is also increased which makes it a hot topic.The production of content as 3D is not matching with its need so there is scope of improvement of these 3D contents.Monocular cues give profundity data when seeing a scene with one eye.When a spectator moves, the evident relative movement of a few stationary articles against a foundation gives indicates about their relative separation.Depth estimation from monocular cues is a difficult task because single image lacks prior information like depth information, motion information etc.In Depth using scene features depth is estimated by exploring the features like shape, edges, color, texture and as well as an analysis of the environment of the scene that are of interest with respect to the target.Different objects have different hue and value and hence color is useful for depth estimation.Shape and texture provides disparity which is used to estimate depth.The main problem in converting a 2 dimensional to 3 dimensional images using single image is that it lacks information required for reconstruction in 3D data.While doing conversion by taking different cues or combination of multiple cues from scene conversion has been done e.g.structure form shape, motion, defocus etc.But such methods work for restricted scenarios not for global scenes.For instance, outdoor algorithms worked poor for indoor algorithms.Here we have implemented automatic conversion of 2 dimensional to 3 dimensional images using monocular image which can convert global images in visually comfortable 3D image.
Estimation of Stretching Fitness using Augmented Reality

Fitness is not about being better then someone else, it’s about being better then you use to be. Everyone is looking for their fitness but it’s quite difficult to find out time to practice appropriate stretching exercise or Yoga. Most of the people are not aware about the method of performing this kind of exercise or Yoga, thus the practice done in an incorrect method may harm the body muscles and even causes the side effects such as major drop in body energy, insomnia, body aches and pains, joint problems, female miss the period cycle or face the irregular periods, poor mental health and many more according to the capacity of human body[5]. Obsession with fitness is connected to convenience and flexibility that has given birth to on-demand fitness or yoga classes. People are running on the thorns of the clock now days. Thus we need a ‘home tutor in pocket’ (a mobile application) which can teach the correct method of various stretching exercise and yoga asana at our convenience. This mobile application created with the help of augmented reality[3] made the fitness routines more affordable and accessible, helps us to set the realistic fitness goal, monitor our workout routines and importantly teaches us the correct method of performing various stretching exercise and yoga asana. This research paper portray the objective, conceptualize the exclusive character(who is performing various exercise and yoga asana) using Photoshop , creation of 3D model using Maya, methodology, SURF Algorithm implementation, character scaling according to the height, weight and age using Unity 3D with Augmented Reality[2], technical aspects as well as social aspects.
Concept Bag: A New Method for Computing Concept Similarity in Biomedical Data

Biomedical data are a rich source of information and knowledge, not only for direct patient care, but also for secondary use in population health, clinical research, and translational research. Biomedical data are typically scattered across multiple systems and syntactic and semantic data integration is necessary to fully utilize the data's potential. This paper introduces new algorithms that were devised to support automatic and semi-automatic integration of semantically heterogeneous biomedical data. The new algorithms incorporate both data mining and biomedical informatics methods to create "concept bags" in the same way that "word bags" are used in data mining and text retrieval. The methods are highly configurable and were tested in five different ways on different types of biomedical data. The new methods performed well in computing similarity between medical terms and data elements - both critical for semi/automatic data integration operations.
Computer Security as an Engineering Practice: A System Engineering Discussion

Design principles gathered from over 20 years of experience in research, implementing and protecting mission critical flight systems used by the Navigation and Mission Design Section at the Jet Propulsion Laboratory are reviewed. The work of spacecraft navigation involves rigorous requirements for accuracy and completeness, often carried out under uncompromising critical time pressures. Robust and fault tolerant design for the ground data system is crucial for the numerous space missions we support, from the Mars rover Curiosity to Cassini in orbit around Saturn. We begin by examining the design principles learned from fault tolerant design efforts to protect against random failure, and consider computer security engineering as a derivative effort to protect against intelligent actors promoting malicious failure. Examples for best practices of reliable system design from computer and aviation industry are considered and security fault tolerance principles are derived from this effort. Computer security design approaches are reviewed, both as abstract principles (starting from cornerstones in Confidentiality, Integrity, and Availability) and from implementation. Strategic design principles such as defense in depth, least privilege, and vulnerability removal are used in this design. We evaluate system design from external access data flows, through internal host security mechanisms, and finally to user access controls. A complementary intersection - the balance between the protection of the system and promoting its ease of use by engineers (making their experience as user friendly and efficient as possible) is evaluated. Finally, we consider future refinements to secure system architecture.
A Study on the Improvement of Learning Outcomes of University Students to Improve Higher Education Quality: Focusing on Small and Medium-sized Universities

This study analyzed the relationship between the quality of major lectures, quality of liberal arts lectures, interaction with professors, student support services at universities, self-development efforts, cooperative learning activities, variables of active learning activities and learning performance. This study compared the learning outcomes of university students with non-metropolitan areas. Utilizing the data of small and medium-sized universities students extracted from NASEL data set collected in 2015 by the KEDI, regression analysis, multi-SEM were performed. The results of the analysis were as follows. First, students who felt that lectures were interesting judged their learning outcomes highly. Second, students who meet and discuss with professors frequently judged their learning outcomes highly. Third, students were more aware of their learning outcomes when they were active participants and satisfied with the services provided by the university. Fourth, students who are cooperative and active in learning activities are more aware of their learning outcomes. Fifth, in the case of college students in the non - metropolitan area, the more they are satisfied with the quality of lectures and the more satisfied they are with learning support services, the more they perceive that their learning outcomes are high.
Implementation of the model and algorithm for assessing the security of information in an automated system

New technologies provide much more progressive ways of working with information. Access to information is provided from anywhere, without geo-referencing. All this causes the emergence of new threats and vulnerabilities. An important task is to ensure the security of data, identify compliance of protection systems with the regulatory framework and current threats to information security. Timely audit allows to confirm the necessary level of security or to notify about its shortcomings. The paper presents a developed model for assessing the security of information using intellectual means. The software algorithm for auditing the security status of an automated system for an information security specialist has been implemented and tested. The article presents implemented software for auditing the system of protection of automated systems. The preliminary data of approbation of the developed algorithm and program complex are demonstrated.
Standards-driven metamodel to increase retrievability of heterogeneous services

Mechanisms of Web Services reuse highly depend upon the retrievability of such services. Facing technology-compliant services means dealing with heterogeneous interface descriptions narrowing the solution space. We address this issue by a standards-driven metamodel of heterogeneous services built onto a framework for suitability assessment from previous work. Main standards involve SoaML, WSDL 2.0 and WADL. This enables to select and consume available third-party SOAP and REST based Web Services. In this way, we seamlessly adjust to each specific technology, turning the technology heterogeneity in our favor by increasing retrievability of a wider range of consuming services. We show the coverage feasibility of the service metamodel by mapping to other service descriptions: OpenAPI/Swagger and RAML. We experimentally validate our proposal by representing through the service metamodel two large datasets of real-world Web Services - 1192 WSDLs from Mashape and 440 Swagger APIs from APIs.Guru - and then assessing such services with competitive ratings in terms of well-known Information Retrieval metrics.
DIKSI DALAM TEKS DESKRIPSI SISWA KELAS VII SMP NEGERI 11 PADANG

ABSTRACT This research is motivated by the problems in writing description texts of seventh grade students at SMPN 11 Padang. This type of research is qualitative research using descriptive methods. The data from this study is the use of diction in the description text of SMPN 11 Padang students. The data sources used in this study are the sentences in the description text written by seventh grade students of SMPN 11 Padang. The researcher only discussed and examined 30 description text writtings written by seventh grade students of SMPN 11 Padang. Based on the results of the study, the following points can be concluded. First, the description text of class VII of SMPN 11 Padang in the use of diction is more dominant having accurary, precision, and harmony in word selection. This can be proven from 30 student description texts consisting of 96 paragraphs, 332 sentences, and 3,567 dictionaries. There are 3.126 accurary in word selection, 3,507 precision in word selection, and 3,494 harmony in word selection. Second, from the student’s description text, it can be seen that there are still students who don’t understand about the use of diction. It can be seen from 3,567 diction used, there are still innaccuracies in the diction as much as 441 words, the accuracy of diction is 60 words, and the incompatibility of diction is 73 words. Third, students still don’t understand the use of spelling in accordance with the Indonesian spelling rules. Kata kunci : Kualitatif, Menulis, Teks Deskripsi, Diksi
Perspectives of an Enterprise Integration Plug-in System Architecture for Networked Manufacturing Systems

This paper is a part of a research project funded by the Science and Technology Development Fund (STDF), to create a product serving the digital transformation of Egyptian manufacturing companies. It allows a manufacturing company to be a member of a distributed manufacturing network. The resulting system can be plugged into any ERP system. In this work, the limitation of a centralized integration entity to satisfy loosely coupling of distributed systems is overcome. The SOA framework and the remote method invocation (RMI) are applied using SOAP-XML technology. Enterprise integration patterns (EIP) were used in the architecture design.
Evaluating Three-Dimensional Directions of Focuses on a Target and Utilizing Estimations in Two Photographic Frames

‘Z’ data in 3D sensing plays a vital role in 3D image acquisition. Third dimension can significantly improve the reliability of scene analysis. Therefore, using a 3D imaging device, an obstacle can be reliably detected and interpreted for various applications. In this paper, different techniques are compared and reviewed for 3D data estimation from two photographic frames. High-precision 3D data can be obtained and analyzed by digital signal processors or multi-core scalar processors. Stereoscopic vision is cost-effective which can fit in a small system making them a good choice for 3D data-based devices. The use of the present application outcome can be adapted for further advancement in 3D imaging methodologies and applications. It would be helpful in the development of cost-effective laser-based 3D imaging systems for the generation of image models of various strategic targets, which will be very useful in depicting hot spot identifications, geometrical profiling, etc. The objective of this literature review is to outline the present techniques of the 3D imaging and to assess the applications.
Expected-Experience Entanglements

This research, starting from breakfast to explore varied morning experiences and expectations, aims to reframe morning experience through diverse possibilities. A good morning keeps people in good psychological and physical conditions, thus improving efficiency at work. In Taiwan, multiple ethnic groups and long working hours are common, which is also embodied by the choice of local breakfast. However, according to a Herbalife research in 2018 [4], around 25% of all Taiwanese lack the habit of eating breakfast every day. Our research starts to explore the role breakfast plays in people's morning routine, as well as the morning expectations and experiences of different lifestyles. The end goal is to create designs that give people a different perspective to engage with a good experience of the beginning of their day, to wonder about how their morning could be, not just about breakfast but about morning experience as well.
Data-driven shared decision-making on cancer treatment

This poster gives an overview of the current NWO data2person project on data-driven shared decision making for cancer patients. Currently, (1) three systematic reviews have been carried out, (2) a prediction model for quality of life outcomes was created using latent-class analysis, (3) a prototype data-to-text system explaining these outcomes was developed and (4) a questionnaire measuring patients' information preferences with respect to personalized statistics is constructed.