Reviewerly/exHarmony huggingface dataset:
Enhancing Privacy Preserving Query Retrieval Using Locality Sensitive Hashing

The usage of smart phones is tremendously increasing day by day. Due to this, Location Based Services (LBS) attracted considerably and becomes more popular and vital in the area of mobile applications. On the other hand, the usage of LBS leads to potential threat to user’s location privacy. In this paper, the famous LBS provide information about points of interest (POI) in spatial range query within a given distance. For that, a more efficient and an enhanced privacy-preserving query solution for location based, Efficient Privacy-Location Query (EPLQ) is proposed along with Locality Sensitive Hashing (LSH) reduces the dimensionality of high dimensional data. Experiments are conducted extensively and the results show the efficiency of the proposed algorithm EPLQ in privacy preserving over outsourced encrypted data in spatial range queries. The proposed method performs in spatial range queries and similarity queries of privacy preserving.
Combating insider fraud in Financial Institutions/impact

The fear of fraud is constant. Unfortunately, now more than ever before, fraud is being committed by employees on the inside, the very people who are supposed to be supporting and protecting an organization. Even though the financial industry is one of the most regulated, financial institution are still getting with the highest rate of internal fraud. Insider threat has always existed within each Financial Institution. In the recent years, insider threat has become a more prominent issue because of the emerging trends in the workplace. This change to a more flexible and productive workplace environment allows employees to easily gain access to an organization’s critical and sensitive information. While the risk of insider threat has certainly increased, Financial Institution have not deployed enough controls to mitigate this risk either because they believe that the frequency of such threat is very low or because they feel powerless to do so.&#x0D; This paper tends to employ techniques that would abate the spate of Insider fraud and cybercrime on customer transactions and insider processing which is in full compliance with most regulatory mandate of Countries Government bank.
Розвиток когнiтивної компетентностi учнiв у навчально-виховному процесi ЗНЗ засобами iнформацiйно-комп'ютерних технологiй

The content of the notion "cognitive competence"and its components is disclosed in the article; the organizational and methodical provision of development of cognitive competence in the educational process of a comprehensive educational institution by means of information and computer technologies is characterized. The ontology and cloud service of Microsoft Office 365 are presented as examples of information and computer technologies. The technique of ontology construction is presented, examples of technology development by students and teachers are presented. The contents of an integrated lesson from the natural sciences cycle using the Microsoft Office 365 cloud service are revealed.The author analyses the possibilities of using the named information and computer technologies in the educational process of any institution of secondary education .
A Contrastive Evaluation of Word Sense Disambiguation Systems for Finnish

Previous work in Word Sense Disambiguation (WSD), like many tasks in natural language processing, has been predominantly focused on English.While there has been some work on other languages, including Uralic languages, up until this point no work has been published providing a contrastive evaluation of WSD for Finnish, despite the requisite lexical resources, most notably FinnWord-Net, having long been in place.This work rectifies the situation.It gives results for systems representing the major approaches to WSD, including some of the systems which have performed best at the task for English.It is hoped these results can act as a baseline for future systems, including both multilingual systems and systems specifically targeting Finnish, as well as point to directions for other Uralic languages.
Android-based Disease Identification on Crystal Guava's Leaf using Enterprise Unified Process Method

Subang Crystal Guava farmer groups have problems in the management and maintenance of plants that are still carried out by way of going down outside the Operating System Procedure (SOP) provided by the Subang Agriculture Service, especially in the management of disease prevention or plant pests and harvesting of Crystal Guava fruit . This makes the process of checking yields take a long time if it has to be adjusted to the SOP provisions. One alternative solution that aims to provide direction and treatment to farmers in managing guava crystals is to apply informatics technology in the form of an application model built for disease identification on Android-based guava leaves. This application uses the camera facilities on mobile phones to take photos of guava leaf samples. The research method used is a software development method (Enterprise Unified Process) whose stages include Construction, Transition, and Production. Java as a programming language, and Android Studio Tools as the editor. Application Identification of diseases on the guava leaves that were built after the trial can be used by the Crystal Guava Farmers in the Subang farmer group as a tool to determine the disease in the guava plants so that a method is obtained to treat the guava plants with a yield that is harvested expected to be optimal.
Neutrality and Algorithms in Libraries

A recently published book, Safiya Noble’s 2018’s Algorithms of Oppression, has become an extremely popular read in our field as of late. While the book highlights some very important information about how our digital architecture de facto marginalizes people, it offers few remedies, other than expressing concerns about humans’ control of how the algorithm is built, thus influencing how it works. The book details how we must admit that our algorithms are human-generated, but does little to explain how this situation can be remedied beyond “fixing the algorithms.” Algorithms cannot be neutral, nor should they be; they are created by people and thus inherit the biases, conscious or unconscious, of their creators. No human has the capacity to be unbiased, so no algorithm can be. If they were, they could easily be gamed by malicious actors who would try to skew results. They need to be constantly worked and massaged to make sure they are behaving in a positive and progressive direction.
Automatic Voltage Regulator based Fuzzy Logic

The objective of this paper is to design a nonlinear excitation controller of the synchronous generator based on fuzzy logic to maintain the system voltage within permissible limits by adjusting the excitation of the synchronous generator (SG) according to variation of load.The main benefit of this paper which exists in designing and implementing a fuzzy logic controller (FLC) is the ease and flexibility of the design, so FLC was applied to design an Automatic Voltage Regulator (AVR) of a synchronous generator.The FLC constitutes a powerful tool to improve the quality of the electric voltage delivered by the SG.Simulation was carried out using Matlab Program to get the output response of the system.Simulation results, showed that the overall system response had been improved significantly when using FLC based PID controller.
Commentary on C. Trevor &amp; D. Huron Are Humoresques Humorous? On the Similarity Between Laughter and Staccato

This commentary discusses and comments on the study by Trevor and Huron on the acoustical similarities between human laughter and staccato articulation in music.
Multi-threads computation for aggregation of time-series data

Time-series data involved applications have become popular with the rapid improvement of smart terminals and wireless networks. For example, in the case of mobile sensing, a sensing user will get a private input in each time period. And during the same period, the aggregator wants to calculate the aggregation statistics from the private inputs of sensing users. The privacy issue becomes much more challenging in the case of an untrusted aggregator. We are trying to increase the computation efficiency of the untrusted aggregator. Multi-cores architecture based CPU has been widely applied for not only personal computers but also servers. And it has been an indispensible field in our everyday life. In this paper, we take advantages of multi-threads computation to a scalable basic aggregation protocol, and improve the computation efficiency of the untrusted aggregator. We conduct some experiments to compare it with the basic protocol. The conducted experiments show the computation efficiency of our proposed protocol.
Banya Leadership: Where the Master Is a Servant

Leadership in Russia conceived from the deeply cultural phenomenon of ‘banya’ (Russian bathhouse), leading to conclusions radically distinct from orthodox notions of high power-distance and strong hierarchies.
An identity-based cryptographic scheme for cloud storage applications

The use of remote storage systems is gaining an expanding interest, namely the cloud storage-based services. In fact, one of the factors that led to the popularity of cloud computing is the availability of storage resources provided at a reduced cost. However, when outsourcing the data to a third party, security issues become critical concerns, especially confidentiality, integrity, authentication, anonymity and resiliency. Based on this challenge, this work provides a new approach to ensure authentication in cloud storage applications. ID-Based Cryptosystems (IBC) have many advantages over certificate-based systems, such as simplification of key management. This paper proposes an original ID-based authentication approach in which the cloud tenant is assigned the IBC-Private Key Generator (PKG) function. Consequently, it can issue public elements for its users, and can keep confidential resulting IBC secrets. Moreover, in our scheme, the public key infrastructure is still in usage to establish trust relationships between the PKGs.
Professional Qualifications In The Sphere Of E-Learning In An Alternative Discourse

In the transition to higher technological structures, change of requirements for an organisation’s staff’s particular specialization and skill level is mandatory. New educational technologies are now actively used which may have a dual purpose. This article is devoted to the problem of professional training of experts whose activities will result in technical progress upon transition to new technological systems usage. It is undeniable that advanced professional qualifications in the organization of educational processes can guarantee the development of society. However, the inconsistency of requirements of the policies and the normative documents regulating work activity and its preparation can become an obstacle. Based on the content analysis of professional and educational standards regarding the problem of preparation and use of technologies related to distance and electronic learning, communication technologies and other technologies it is clear that the universities are not fully prepared to engage with the electronic capacity of modern society. It is established that this problem has been realized at the state level and measures are being undertaken for the coordination of standard requirements for professional activity and the teacher training system.
LISTENING ANXIETY AMONG INDONESIAN EFL STUDENTS

Listening skill is essential in EFL learning. Experiencing more than three years in teaching Listening, the researcher covers that EFL students face problems in comprehending what people say in target language. Through this study, the researcher aims at exploring EFL students� experience in learning to listen to spoken English text which covers (a) students� attitude towards learning to listen to spoken English texts, b) listening anxiety in listening to spoken English texts, and (c) students� effort in improving their listening skill in listening to spoken English text. To meet the research objectives, the researcher used a quantitative research through applying a survey design. A closed ended questionnaire containing 50 questions were distributed to 58 EFL students of a Private University in West Java, Indonesia. The questionnaire was tested its validity and reliability. Moreover, the data were analyzed descriptive statistically. Data revealed that students show (a) a positive attitude towards learning to listen to English spoken text (3.56); (b) students� listening anxiety is in high level (3.52); and (c) students have a high effort in improving their listening skill (3.74). To conclude with, in spite of the high level of students� listening anxiety, they show the high level of attitude in learning to listen to English spoken text and the high effort� in improving their listening skill as well.Keywords: attitude; listening anxiety; listening skill.
Correction to: Land Use and Salinity Drive Changes in SAV Abundance and Community Composition

The article Land Use and Salinity Drive Changes in SAV Abundance and Community Composition.
Local Appearance based Novel Facial Feature Extraction Method for Human Expression Recognition

A novel approach to extract the light invariant local feature for facial expression recognition is presented in this paper.It is robust in monotonic gray-scale changes caused by illumination variations.Proposed method is easy to perform and time effective.The local strength for a pixel is calculated by finding the decimal value of the neighboring of that pixel with the particular rank in term of its gray-scale value among all the nearest pixels.When eight neighboring pixels are considered, the gradient direction of the neighboring pixel with the mix of second minima and maxima of the gray scale intensity can capture more local details and yield the best performance for the facial expression recognition in our experiment.CK+ dataset is used in this experiment to find out the facial expression classification.The classification accuracy rate achieved is 92.1 ± 3.2%, which is not the best but easier to compute.The results show that the experimented feature extraction technique is fast, accurate and efficient for facial expression recognition.
Twin-Field Quantum Key Distribution with large random intensity fluctuation

Twin-Field Quantum Key Distribution(TF-QKD) protocol and its variants, such as Phase-Matching QKD(PM-QKD), sending or not QKD(SNS-QKD) and No Phase Post-Selection TF-QKD(NPP-TFQKD), are very promising for long-distance applications. However, there are still some gaps between theory and practice in these protocols. Concretely, a finite-key size analysis is still missing, and the intensity fluctuations are not taken into account. To address the finite-key size effect, we first give the key rate of NPP-TFQKD against collective attack in finite-key size region and then prove it can be against coherent attack. To deal with the intensity fluctuations, we present an analytical formula of 4-intensity decoy state NPP-TFQKD and a practical intensity fluctuation model. Finally, through detailed simulations, we show NPP-TFQKD can still keep its superiority of high key rate and long achievable distance.
New Approach on the Agile Cycles Containment Effectiveness Metrics in Automotive SW Development

&lt;p class="Abstract"&gt;&lt;span lang="EN-US"&gt;In an ideal Agile Development Team, defects should not exist. But in reality and especially in Automotive Agile Software Development, we need to have a mechanism for defects handling and tracking to closure. In this paper we describe the benefits and principles for measuring the defects handling metrics in automotive programs and organizations which adopted Agile SW Development. We are presenting the Iteration Containment Effectiveness, Program Increment Containment Effectiveness and Defect Debt Trend metrics. The acquired advantages are demonstrated by a detailed example of real application on how to measure the classical Phase Containment Effectiveness metric on Iteration (Sprint) and Program Increment (Scum of Scrums / Scaled Agile) Level. This paper is an extended version of the original contribution to the IMEKO TC 4 2017 symposium in Iasi, Romania.&lt;/span&gt;&lt;/p&gt;
Review: Sentiment Analysis using SVM Classification Approach

Recently, lots of attempts are done to work on social sites to examine of public sentiment.Most of the efforts are usable to give fine ideas of social public opinions from social media.Hence, there is a need of suitable approach to overcome this problem.Sentiment Analysis (SA) is an action of computationally diagnosing and grouping opinions represented in a particular bunch of text.It is used to recognize opinion of public as feedbacks depending upon the data/domain in social media.Information Gain (IG) is a measure used to identify most impactful words as features in the tweet to classify the opinions using some classification approaches.The purpose of this article is to discuss some approaches for extracting features from tweets and classifying it.
HMM-BASED MODEL FOR DANCE MOTIONS WITH POSE REPRESENTATION

This paper presents a model for human dance motions based on hidden markov model. The whole dance is defined as sequences of several finite distinct gestures. Dance gestures are cast as hidden discrete states and phrase of dance as a sequence of gestures. In order to map the skeleton motion data to a smaller set of features, an angular skeleton representation of the human pose is also designed, for recognition robustness under noisy input of 3D sensor. A pose of dance is defined by this angular skeleton representation which can be quantified based on range of movement for discrete hidden markov model.
Perancangan kartu bermain bahasa Indonesia seri imbuhan me- untuk siswa BIPA

Indonesian Language classes for Foreigners (SPEAKER) continues to increase every year. However, the students at the level of prapemula still have difficulty when learning the grammar subjects, especially the section prefix. SPEAKER classes is slightly different with the Indonesia language classes for native speakers. Those who learned SPEAKER is a foreigner who has never heard of and use the language of Indonesia at all. Therefore, they are very difficulty studying grammatical affixes, notably Indonesia. In this study, we designed a media learning designed to study the affixes, notably the prefix me-. Learning media that we made in the form of playing cards. As an Alliance of teachers of visual, visual media can increase 400% of the learning process of the students in the classroom. Based on the foregoing, we make playing cards-shaped Playing Cards. The purpose of this research is to design the learning media can facilitate the students learning the affixes me-SPEAKER-shaped playing cards.
The Application of Task-Based Learning to Improve the Quality of The Teaching and Learning Process of Reading in Indonesian Secondary Schools Context

This paper aims to discover the feasibility and the applicability of task-based learning in improving the quality of the teaching and learning process (TLP) of reading in Indonesian secondary schools in relation to the teaching of genre or text types as required by the national curriculum. This is an action research study which is qualitative in nature. The data were obtained through observations and interviews with the students and the collaborators. They were in the forms of field notes, interview transcripts, and photographs. In addition, this research applied the investigator triangulation, the theoretical triangulation and the time triangulation. The actions implemented in this research are discussing new vocabulary items and guessing meaning from context, applying skimming and scanning strategies, discussing grammar related to the text, conducting a question/answer game, providing various materials from different sources, and applying group/pair work. The results of the research show that the students’ motivation increased. They were more enthusiastic in learning reading. Moreover, the students were interested in various materials presented by the teacher. They could get involved actively in the reading learning process. In addition, the classroom interaction also increased. The students could interact very well with other students and the teacher. In conclusion, the use of task-based approach with its accompanying actions is effective to improve the teaching and learning process of reading.
Languaging to trigger change: second-order intercultural conversations with urban youth of Maya descent

The paper presents an applied research project that looks into whether the Yucatec Maya language can become an identity factor for the urban youth of Maya descent inhabitants of a marginal urban area in southeastern Mexico, against the entropic tendency towards the Yucatec Maya language loss in the urban environment. Our starting point is Maturana’s idea that through languaging and emotioning human worlds are built and maintained; our lives are intertwined in interactional networks, therefore we only exist as human beings through conversations we hold with other human beings. We go on to explore the types of connection to the Maya culture and language in the case of the young men and women who took part in a workshop “My life and the Maya culture: roots and relations”, and how this connection is constructed through languaging and emotioning whithin their families, personal networks, and the workshop itself. The conversations –that emerge through languaging and emotioning– are seen as potential triggers of changes in representations and attitudes towards the minorized language and culture. We also maintain that for the changes to be sustainable, the rest of the local society, viewed as a cultural multiverse (Krotz, 2004), is to recognize Maya speakers as legitimate others (Maturana &amp; Nisis, 2014), so that the non-Maya groups are also to engage to ensure the structural coupling between the diverse parts that conform the multiverse. Our role as researchers, then, is not that of external observers; we assume our part in the cultural multiverse as participants in its construction who by languaging, emotioning, and subsequent acting, seek to contribute to a broader acceptance and respect towards the minorized language and its speakers.
What Could the Big6 Strategy Do to Students’ English and Information Literacies?

&lt;em&gt;This study was aimed to investigate what the Big6 strategy could do to the development of both students’ proficiency in English literacy and information literacy. To achieve the purpose, an experimental study with time series design was conducted. Forty-five students of a private secondary school in Palembang were randomly selected for intervention based on their levels of reading. To collect the data, both English literacy and information literacy tests were given to the students. The results of paired-sample-t test analysis show that both students’ English and information literacies improved significantly. However, the students’ level of English Literacy was only a little bit above average and their information literacy was proficient. When regression analysis was used, only students’ speaking skill of English Literacy and the ethics aspect of information literacy contributed the least to the total achievement of each variable. These imply that the Big6 strategy is able to make a difference in students’ English and information literacies. It also deserves to be used in ELT classrooms in the future for students to enhance their English literacy including their oral expression skill and to familiarize themselves with ethical aspect of information literacy from their puberty.&lt;/em&gt;