Reviewerly/exHarmony huggingface dataset:
Identity-based key aggregate cryptosystem from multilinear maps

A key-aggregate cryptosystem (KAC) is the dual of the well-known notion of broadcast encryption (BE). In KAC, each plaintext message is encrypted with respect to some identity, and a single aggregate key can be generated for any arbitrary subset $ \mathcal{S} $ of identities, such that any ciphertext designated for any identity in $ \mathcal{S} $ can be decrypted using this aggregate key. A KAC scheme is said to be efficient if all public parameters, ciphertexts and aggregate keys have polynomial overhead, and can be generated using poly-time algorithms.A KAC scheme is said to be identity-based if remains efficient even when the number of unique identities supported by the system is exponential in the security parameter $ \lambda $. Unfortunately, existing KAC constructions do not satisfy this property. In particular, adopting these constructions to the identity-based setting leads to public parameters with exponential overhead.In this paper, we propose new identity-based KAC constructions using multilinear maps that are secure in the generic multilinear map model, and are fully collusion resistant against any number of colluding parties. Our first construction is based on asymmetric multilinear maps, with a poly-logarithmic overhead for the public parameters, and a constant overhead for the ciphertexts and aggregate keys. Our second construction is based on the more generalized symmetric multilinear maps, and offers tighter security bounds in the generic multilinear map model. This construction has a poly-logarithmic overhead for the public parameters and the ciphertexts, while the overhead for the aggregate keys is still constant.
Blind multi-signature scheme based on factoring and discrete logarithm problem

One of the important objectives of information security systems is providing authentication of the electronic documents and messages. In that, blind signature schemes are an important solution to protect the privacy of users in security electronic transactions by highlighting the anonymity of participating parties. Many studies have focused on blind signature schemes, however, most of the studied schemes are based on single computationally difficult problem. Also digital signature schemes from two difficult problems were proposed but the fact is that only finding solution to single hard problem then these digital signature schemes are breakable. In this paper, we propose a new signature schemes base on the combination of the RSA and Schnorr signature schemes which are based on two hard problems: IFP and DLP. Then expanding to propose a single blind signature scheme, a blind multi-signature scheme, which are based on new baseline schemes.
Security of Audio File based on Partial Encryption

The use of multimedia data such as compressed audio urge for the need of secure transmission without compromising the audio quality.As there is a tremendous growth of digital data, the issue of security raises, which demands for developing of more advance cryptography techniques.Cryptography is a process that disarranges the information by rearranging and topping the content which makes the original content unreadable except the only person who knows the process of rearranging it.Encryption is a process of converting some data from its original form to encrypted form, practically that cannot understandable by unauthorized user.Decryption is a process of obtaining back the original data from encrypted form.In this paper more secure and fewer complex methods are studied which reduces the time complexity of encrypting and decrypting the audio file and a technique based on partial encryption is proposed where only the header of the audio file is encrypted which results in low time complexity.The techniques used are based on selective encryption, LSFR, Fast Fourier Transform, chaotic system.
CRITERIA AND LEVELS OF FORMATION OF THE MORAL CULTURE OF STUDENT YOUTH AND THE CONDITION OF THE PROBLEM IN THE PRACTICE OF THE WORK OF THE UNIVERSITIES OF AGRICULTURAL PROFILE

Identifying the level of education of students makes it possible to assess the effectiveness of the use of forms and methods of pedagogical interaction with a view to the possibility of its further adjustment; the effectiveness of certain learning technologies will help to identify abnormalities in the moral development of personality, identify deficiencies, as well as find new ways of forming this personality quality. To determine the effectiveness of educational work to ensure the effective formation of the moral culture of the student’s personality, one should have a clear idea of the dimensions in the levels of education of students in their consciousness and behavior. This is the relevance of our research. Moral qualities are formed on the basis and in connection with other personal entities that reveal the attitude of man to society, labour, humane attitude towards people and fundamentally demanding of oneself. Entering into interaction, they generate new properties − the cultivation of an individual, his / her moral culture. Therefore, the purpose of our study is to determine the state of formation of the moral culture of student youth of the university of agricultural profile.The main methods of research were surveys, questionnaires, discussions, discussions, the content of which consisted in determining the levels of formation of moral culture of student youth. The results of this study indicate that the students of the first year students of the higher educational establishment do not have the formed idea of the magnitude of interpersonal connections of their future activities, which depends on the main percentage of success in their work.Young people do not identify their professional qualities with moral ones. And this is the main problem of educating the future professionals.
A Scrutiny on Differential Calculus in Criminology and Forensic Science

Using mathematical methods to understand and model crime is a recent idea that has drawn considerable attention from researchers during those years.From the plethora of models that have been proposed, perhaps the most successful one has been a diffusion-type differential equations model that describes how the number of criminals evolves in a specific area.We propose a more detailed form of this model that allows for two distinct criminal types associated with major and minor crime.Newton's Law of Cooling also supports the model's potential to describe crime.
REVERSIBLE DATA HIDING BASED ON PIXEL-BASED PIXEL VALUE ORDERING PREDICTOR AND EMD

In this paper, we improved the reversible data hiding method of Qu’s et al. The original image is divided into overlapped equalsize blocks (2x2). Each of block is used to predict a pixel. Then a histogram is constructed from the different value between the original pixel and the prediction pixel. In order to increase thecapacity, the proposed method combination with EMD table to change the histogram. According to Qu’s method, each pixel satisfies only one bit of information is embedded. In our method, by using the EMD table, each pair of eligible pixels can embed three bits of information. Experimental results show that the proposed method increases 1.5 times the hidden performance while the image quality changes negligibly.
Recursive Formula for the Random String Word Detection Probability, Overlaps and Probability Extremes

In this paper, for the first time ever, the properties of the word detection probability in a random string have been investigated. The formerly known methods led to numerical evaluation of the researched probabilities only. The present work derives the simplest algorithm for calculation of the word&amp;rsquo;s at least once detection probability in a random string. A recursive formula that considers the overlap capability has been deduced for the probability under study. This formula is being used for the proposition on comparison of the word detection probabilities in a random string for the words with different periods. The result allows determining the structure of words that have maximum and minimum detection probabilities. In particular, words having equal number of alphabetic characters have been studied. It has been established, that for the words in question detection probability is minimal for the ideally symmetrical words that have irreducible period - and maximal for the words devoid of the overlap feature. These results will be useful for molecular genetics, as well as for students studying discrete mathematics, probability theory and molecular biology.
Pelatihan Art-Enginering Untuk Meningkatkan Keterampilan Pemuda Karang Taruna Griya Asri Kalitengah

Karang Taruna is a social forum that is expected to be able to overcome various social problems that produce young generations and are able to develop the potential of the younger generation in their environment in the frame of increasing the level of social welfare of the community. This great mission from Karang Taruna cannot always be smooth, for example in the Griya Asri Karang Taruna Group. Griya Asri Kalitengah Karang Taruna is a Taruna reef that is quite active in the social field, but this group has a positive foundation that can hone skills and can increase motivation to be a creative and independent generation. Therefore, the researchers took the initiative to conduct an Art-Enginering (Areng) training on Pemuda Karang Taruna Griya Asri Kalitengah with Pawitra Ruang Seni to improve their skills in art and the manufacture of simple tools. Components of Training Success are viewed from the achievement of the target number of trainees and the achievement of training objectives. At the level of achievement of the target number of trainees from the data of members of the Asri Kalitengah Griya Karang Taruna can determine the target participants get 50% of the total member data and 77% of the total active members. As for the target achievement of goals in terms of changes in perceptions and motivations improved by using the questionnaire and questionnaire methods, while the assessment of changes in skills was reviewed from the implementation of the program agenda before and after the participants attended the training. In addition, it was also reviewed from the first activities carried out by cadets at regular meetings after the training was held. The general results of the data obtained from the training are good. From what is seen from the motivation, the quality of the practices that have been produced by the participants, it can be concluded that the objectives of this activity have been obtained.
A Developmental-Longitudinal Study of Request External Modifiers in Authentic and Elicited Data

This developmental-longitudinal study aims to investigate the pragmatic development of Iraqi EFL learners in the use of external modifications of request over four years of study in authentic and elicited data. The authentic data is natural requests of Viber and WhatsApp while the elicited data is discourse completion test (DCT). The researcher has collected 202 authentic messages and 192 elicited messages from 24 learners. The external modifications are coded based on Blum-Kulka, House and Kasper’s (1989) and Economidou-Kogetsidis’s (2011) taxonomy of external devices.&#x0D; The results unveil that there is an evidence of pragmatic development in the learners’ use of external devices in the two types of data. Yet, the use of these devices increases with increased study years particularly when these learners produce their natural requests. Besides, this study reveals that the authentic data includes authentic results occur in real context whereby natural and spontaneous utterances are produced. Hence, the elicited data must be used in addition to other types of research instruments to arrive at valid results because it does not accurately uncover the learners’ real development
Face-Name Tracking Analysing System By Cluster Using Constrain K-Means

Auto face identification of characters in films has drawn most research interests and led to many interesting applications. Since huge variation in the appearance of each character is found, it is a challenging problem. Existing methods evaluates promising results in clean environment, the performances are limited in complex movie scenes due to the noises generated during the face tracking and face clustering process. This study presents two schemes of global face-name matching based framework for robust character identification. The contributions of this study include: A noise insensitive character relationship representation is incorporated. The study introduces an edit operation based graph matching algorithm. Complex character changes are handled by simultaneously graph partition and graph matching. Beyond existing character identification approaches, we further perform an in-depth sensitivity analysis by introducing two types of simulated noises. The proposed schemes demonstrate state-of-the-art performance on movie character identification in various movies. The project has been developed using Visual Studio .Net 2005 as front end and SQL Server 2000 as back end. C# is used the coding language.
When the goal is to generate a series of activities: A self-organized simulated robot arm

Behavior is characterized by sequences of goal oriented conducts, such as food uptake, socializing and resting. Classically, one would define for each task a corresponding satisfaction level, with the agent engaging, at a given time, in the activity having the lowest satisfaction level. Alternatively, one may consider that the agent follows the overarching objective to generate sequences of distinct activities. To achieve a balanced distribution of activities would then be the primary goal, and not to master a specific task. In this setting the agent would show two types of behaviors, task-oriented and task-searching phases, with the latter interseeding the former. We study the emergence of autonomous task switching for the case of a simulated robot arm. Grasping one of several moving objects corresponds in this setting to a specific activity. Overall, the arm should follow a given object temporarily and then move away, in order to search for a new target and reengage. We show that this behavior can be generated robustly when modeling the arm as an adaptive dynamical system. The dissipation function is in this approach time dependent. The arm is in a dissipative state when searching for a nearby object, dissipating energy on approach. Once close, the dissipation function starts to increase, with the eventual sign change implying that the arm will take up energy and wander off. The resulting explorative state ends when the dissipation function becomes again negative and the arm selects a new target. We believe that our approach may be generalized to generate self-organized sequences of activities in general.
Keystrokes, Edit Distance, and Grading Rules: Psychometric Properties of Short-Answer Items

This research evaluates the psychometric properties of short-answer response items under a variety of grading rules in the context of a mobile learning platform in Africa.This work has three main findings.First, we introduce the concept of a differential device function (DDF), a type of differential item function that stems from the device a student uses to take an assessment.Second, we identify a plausible mechanism for this DDF by examining the keystroke requirements of smartphone and basic mobile phone users.We identify a set of platform design rules to mitigates this bias.Lastly, we suggest that the edit distance of student responses can be used as a tuning parameter to optimize the Cronbach's alpha of the assessment.We find that literal string evaluation performs poorly compared to other grading rules.Partial string matching with an edit distance of two provides the highest reliability across exams.This is a simple yet effective rule, which performs well across a variety of assessments.
IMPLEMENTING THE TOTAL PHYSICAL RESPONSE METHOD WITH WORD WALL PICTURE TO INCREASE DEAF STUDENTS’ VOCABULARY IN THE FIRST GRADE OF SMP LUAR BIASA NEGERI MARTAPURA

Abstract : This research aimed to increase the English vocabulary mastery of the deaf students, especially in the material of instruction by using the total physical response method with word wall picture in the first grade of SMP Luar Biasa Negeri Martapura in the academic year of 2014/2015. The subject of this research consisted of 9 students. The method used in this research was Classroom Action Research (CAR) designed based on the model proposed by Kemmis and McTaggart. This research was conducted in three cycles, in which for each cycle consisted of 3 meetings. It consisted of a planning phase, acting, observing, and reflecting. To answer the research questions, qualitative and quantitative were collected. The qualitative data were obtained through observation, while the quantitative data were obtained through tests and a questionnaire. The result showed there was an increase of the deaf students’ English vocabulary mastery. The pre-cycle test mean score was 48.89, while the mean score in the test of cycle 1, cycle 2, and cyle 3 was respectively 56.67, 63.89, and 78.89. So, the criteria of success had been achieved. The data obtained through the questionnaire showed there was a positive response given by the students in the teaching-learning process of English vocabulary using the total physical response method with word wall picture. In which the mean score of the pre-questionnaire was 32.22%. Then the mean of the post-questionnaire was 77.04%, so it increased as much as 44.82%. Furthermore, the results of observation showed that deaf students were motivated in the teaching-learning process during the implementation of total physical response method with word wall picture. Keywords: Total physical response, word wall picture, vocabulary mastery, deaf students, and classroom action research.
Partitioning Garbage Collection Between the Secure and Normal Worlds for Trusted Applications (poster)

Trusted Applications (TAs) written for Trusted Execution Environments (TEEs) using ARM TrustZone are currently written in C; there is limited support for higher-level languages. This leads to common manual memory management problems like buffer overflow and use-after-free. Higher-level languages, which have managed runtimes, allow for automated memory management, the benefits of which are widely accepted. To allow for automated memory management of TAs, we need to have a runtime that handles allocation and garbage collection (GC). However, having the entire allocator and GC in the secure world would increase the Trusted Computing Base (TCB) of the secure world. We propose TrustGC, a mechanism to partition garbage collection and allocation between the secure world and the normal world. TrustGC allows for automated memory management of TAs by leveraging the help of a GC partly running in the normal world.
Retraction Note to: Ready Mealy, Moore &amp; Markov Mathematical Modeling Machines for Big Data

The editors have retracted this chapter by Furqan et al. [1] because of overlap with a preprint by Cholewa et al. that was previously posted on arXiv [2]. All authors agree to this retraction. References: [1] Furqan H.T., Wahab A.A., Sadiq S., Ali Shah P.A. (2017). Ready Mealy, Moore & Markov Mathematical Modeling Machines for Big Data. In: Ferreira J., Alam M. (eds.) Future Intelligent Vehicular Technologies. Future 5V 2016. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 185. Springer, Cham. [2] Michal Cholewa, Piotr Gawron, Przemyslaw Glomb, Dariusz Kurzyk. Quantum Hidden Markov Models based on Transition Operation Matrices arXiv:1503.08760v1
Phonics Approach in Teaching Reading

This research aimed to determine the effectiveness of phonics approach in teaching reading for the seventh graders of SMP Negeri 1 Aikmel, East Lombok, and to what extent it is effective. This research was designed as pre-experimental with read aloud test as the instrument to collect data. The sample of this research consisted of 36 students of SMP Negeri 1 Aikmel. The sample was taken through purposive sampling. In collecting the data, a pre-test and a post-test were given to the students. SPSS 17 for Windows and paired-sample t-test were applied to analyze the collected data. After calculating the data, it was found that there was a significant difference in the mean scores between pre-test and post-test, t(df=35) = 23.314 at p = 0.001, meaning that the null hypothesis was rejected and the alternative hypothesis was accepted. In a nutshell, phonics approach was significantly effective in teaching reading for the seventh graders of SMP Negeri 1 Aikmel.
POTENSI DAYA DARI SOLAR CELL TERPASANG SESUAI DENGAN POLA ATAP RUMAH BERBASIS ARSITEKTUR BALI

This study was conducted to determine the potential power obtained at home with the Balinese roof pattern when developed with renewable energy sources. Solar energy as a source of renewable energy has enormous potential, especially in Indonesia. Balinese architecture-based roof pattern has 4 fields, the north and south side are trapezoidal and the east and west sides are triangular with 350 roof inclination angle. One of Bali's traditional buildings is Bale Sari, which is a case study with an area of ??32.64 m2, length 6.40m and width 5.10m. Bale Sari's roof has a pyramid pattern, each side having the same length and width. Methods performed in this study with manual calculations to find the potential maximum power. The total number of solar panels used is 234 pieces. With this amount, obtained the best potential results on the southern side, with an average power gained of 667.67 Watt. The results are obtained when the sun is at a maximum warming point or precisely when the weather is sunny. The result of the average power potential analysis obtained by solar cell installed on the roof of the Balinese architecture house is 1,935.49 Watt.
Adaptive context-aware correlation filter target tracking

Abstract Aiming at the problem that the traditional correlation filter target tracking algorithm has low tracking accuracy under the conditions of fast motion, occlusion and complex background, an adaptive context-aware correlation filter target tracking algorithm is proposed in this paper. On the basis of the relevant filtering algorithm, the boundary effect and fixed learning rate brought by cyclic displacement are improved as the main purpose. Firstly, an adaptive sampling strategy based on the extreme value of the response graph is added to the context information in the training stage of the classifier. Then, A piecewise learning rate adjustment strategy is utilized to make the algorithm better adapt to the target change. Finally, the performance of the algorithm is verified by the standard data set. The experimental results show that the proposed algorithm improves the tracking accuracy of DCF and SAMF algorithm respectively. It not only has good robustness in the case of fast motion, occlusion, complex background, etc., but also can be integrated into most relevant filtering algorithms as a framework.