Reviewerly/exHarmony huggingface dataset:
Research on data access control algorithm based on fine-grained cloud storage

In order to ensure the cloud storage security and achieve fine-grained data access control, a new fine-grained data access control algorithm is established based on CP-ABE algorithm. The basic theory of CP-ABE algorithm is studied in depth, and then the fine-grained cloud storage controlling scheme based on digital envelope is put forward. The new scheme construction process is given, and then the corresponding algorithm is designed. Simulation analysis is carried out, results show that the proposed data access control algorithm can effectively improve the searching efficiency of cipher text, and achieve fine-grained access under cloud storage environment.
Advanced data.table

We already introduced the data.table package which is the heart of this chapter, covering the basics of accessing, editing, and manipulating data under the broad term data management. Although not glamorous, data management is a critical first step to data visualization or analysis. Furthermore, the majority of time on a particular analysis project often comes from data management. For example, running a linear model in R takes one line of code, once the data is clean and in the expected format. Data management is challenging because raw data comes in all types, shapes, and formats and missing data is common. In addition, you may also have to combine or merge separate data sources. In this chapter, we go beyond the basic use of data.table to more complex data management tasks.
Computational framework for fusing eye movements and spoken narratives for image annotation

Despite many recent advances in the field of computer vision, there remains a disconnect between how computers process images and how humans understand them. To begin to bridge this gap, we propose a framework that integrates human-elicited gaze and spoken language to label perceptually important regions in an image. Our work relies on the notion that gaze and spoken narratives can jointly model how humans inspect and analyze images. Using an unsupervised bitext alignment algorithm originally developed for machine translation, we create meaningful mappings between participants’ eye movements over an image and their spoken descriptions of that image. The resulting multimodal alignments are then used to annotate image regions with linguistic labels. The accuracy of these labels exceeds that of baseline alignments obtained using purely temporal correspondence between fixations and words. We also find differences in system performances when identifying image regions using clustering methods that rely on gaze information rather than image features. The alignments produced by our framework can be used to create a database of low-level image features and high-level semantic annotations corresponding to perceptually important image regions. The framework can potentially be applied to any multimodal data stream and to any visual domain. To this end, we provide the research community with access to the computational framework.
Significant of Information Needs towards Muslim Communities Base on the Mosque Digital InformationBoard in Malaysia

Mosque institutions have been used information communication technology (ICT) tools in supportof the continuation of digital community development. One of the mechanisms of information communicationtechnology to provide information to the community is the digital board. Therefore, this study aims to find out thetype of information received and the significant information needs among Muslim communities based on mosquedigital information boards. This study has been using quantitative design with the questionnaire instrument. A totalof 244 respondents were selected using the simple random sampling method in the three zones of the mosque inPerak, Malaysia. The results showed that the types of digital information that respondents received through thedigital boards in the mosque were religious authority information, knowledge programs including study schedulesand study summaries weekly, and local community activities. The findings showed that digital information needsamong the respondents were at the average mean level of education in weekly study information requirements(min = 4.24), religious authorities (min = 4.24), health (min = 4.18), safety (min = 4.23), city council (min = 3.94)and mosque authority (min = 4.20). The study's findings suggest that respondents need significant informationabout mosque activities and relevant government agency information. The integration source of informationtransmitted through the mosques digital information board will manage systematically based on the principles ofinforming, educating, and high value in use. It enhances the information needs of the Islamic community in bigdata management.
***CLICK FOR MORE INFORMATION*** reading as performance / reading as composition

At the end of ‘Sentences on Conceptual Art’ (1969), Sol LeWitt states: “these sentences comment on art but are not art.” In the same work he also remarks, “If words are used and they proceed from ideas about art, then they are art and not literature, numbers are not mathematics,” thus creating a paradigm. Is writing or talking about artistic ideas art or not? … Let’s say for now that it could be. John Cage famously defined music as the “organisation of sound” perhaps though, reflecting on the origin of the word composition as coming from the Latin componere meaning to “put together”, the ‘organisation of things’, may be a more suitable definition. Not only sound, but all elements of a performance could or perhaps should be organised, put together or composed. Consider the situation where your (yes, you the readers) organisational decisions matter. Maybe it’s as simple as ‘do I read the text or look at the given example first?’ These decisions matter, they effect what is communicated and when, what knowledge or assumptions are carried and for how long. These decisions are thus meaningful and potentially compositional in nature, establishing a new question. Is all reading compositional?… …Let’s say for now that it could be.
The Second Classroom Construction of Students under the Diversified Assessment Mode

With the construction of school informationization, the learning environment of students has changed, the learning methods and methods are more flexible, and the traditional assessment methods can not effectively test the true level of students. Therefore, this paper proposes the second classroom construction of students based on the diversified assessment mode, and strives to improve the overall quality of students and elaborates the diversified assessment methods to propose the second classroom.
Offer digital diplomas to meet evolving needs of graduates

Receiving a paper diploma is a centuries‐old tradition. But what if that tradition no longer serves much of a purpose beyond contributing to the pomp and circumstance of graduation?
Pengembangan Metode Pembelajaran CIRCOS untuk Meningkatkan Prestasi Belajar Siswa

Education is one of the supporting factors in improving the quality of human resources. Therefore the concept of an education should no longer be teacher-centered, but student-centered. The change in concept starts from several aspects, one of which is through the learning method. Some learning methods that center on student activity are the Circuit Learning and Complete Sentence methods. Through these two methods, students are expected to be more active and get satisfying results. Therefore, in this study the two methods were developed into a new method, the CIRCOS method to determine the application of the learning method and its effect on increasing student achievement. This research method uses Research and Development, and uses the Borg and Gall model. Data collection techniques in this study through observation, interviews, questionnaires, and documentation. In the research instrument using questionnaires and tests. Based on the results of research and development, it can be concluded that the CIRCOS learning method has several weaknesses, strengths, and things that need to be added. And the CIRCOS method can improve student achievement.
A PRIVATIZED APPROACH IN ENHANCED SPAM FILTERING TECHNIQUES USING TSAS OVER CLOUD NETWORKS

Major problem over cloud networks is the effect of malicious code that protrudes its own activity without intend of network user in resource sharing. One such activity is the spam-filtering techniques which assumes the data with training and testing sets and also rely on fundamental classification through distribution. A privatised spam filtering approach is a classic problem which automatically recognises user context and incoming mail information relevance. To filter mail contents learning based methods, probabilistic based method trying to improve their accuracy but they cannot attain an improvement in identifying suspicious contents and also in segregating legitimate mail entries. Here a novel representation of structured abstraction scheme (SAS) used to generate abstraction in e-mail process using HTML tag content in e-mail and its algorithm for filtering such process of spam filtering is depicted. In this SAS methodology near duplicate matching process with HTML tag ordering will be processed and newly assigned position ordering were deliberated. The experimental setup shows that there will be a great improvement while filtering spam in accuracy of e-mail content while sharing in cloud networks.
Professional self-development of a future primary education teacher in a digital educational environment

The relevance of the problem is due to the requirement of pedagogical theory and practice in ensuring professional self-development of a future primary education teacher and the existing imperfection of modern technological means of supporting professional self-development of a future primary education teacher in a digital educational environment. The information support of professional self-development of the future primary education teacher in the digital educational environment is considered. A theoretical review of the concepts of “information educational environment” and “digital educational environment” is also presented. The closest, in the context of the study, is the definition of a digital educational environment, as a combination of digital educational technologies, means and related resources that ensure the educational process in the context of society digitalization. The informational means of implementation were the technologies of pedagogical support of professional self-development of the future primary education teacher, which were substantively modernized: “Time Management” technologies, projects, web quests, modeling, foresight technologies, discussions, project technologies, various social and moral practices, modeling and gamification of future professional strategies, technology of achievements and success (competitions, olympiads). In the framework of this work, we substantiate a new scientific direction in the field of the theory and methods of professional education, substantiating both theoretical and applied solutions to the important problem of pedagogical support of the process of professional self-development of a future primary education teacher in accordance with the requirements of federal state educational standards of higher education, as well as the standard of profession “Teacher”.
elCare AN ASSISTANCE FOR ELDERLY PEOPLE

The aim of the project is to implement a product for remote monitoring of elderly people in theirindividual homes, health care clinics .Because of rapidly ageing population, the people are easily prone to thepandemic diseases and some unusual situation leads the elderly people to stay away from their respective homes.Thus, in those cases these people do not have guarantee of their life and thus it becomes a need to monitor theirhealth in case of emergency situation. However, in most of the cases, they can't get help from the nearestneighbours due to their frailty, lack of access to technology, their current geographical location (rural areas) andsome limitations. By providing a product that fulfils all the above mentioned needs, this project establishes aTele-assistance system in a place where the people reside, which may analyse the health condition of the peopleand if it falls below or above the acceptable threshold value then sends a push notification . This information isgathered and stored in an exceedingly database and is distributed to their relatives and concerned person in order toprovide an immediate response of the emergency situation.
Klasterisasi Data Unsupervised Menggunakan Metode K-Means

Each year the research of student’s thesis is increasing and it is possible to have the same or similar topics, where this thesis document can be grouped or clusterized based on the similiarity pattern of titles. Before doing a thesis document clustering, the title of the thesis will be weighted using the Text Mining method and Term Frequency-Inverse Document Frequency (TF-IDF). The grouping method used is the K-Means method which is an unsupervised clustering technique with the calculation distance of similarities using Cosine Similarity and the selection of initial cluster centroids that have been developed using Improved K-Means, which combines distance and density optimization methods. The final result of the clustering using 73 data title text of the thesis student generates seven clusters where members of each cluster have a high similiarity seen from the title text of a fellow cluster member.Keywords : Clustering, Cosine Similiarity, Improved K-Means, K-Means, TF-IDF.
Exploring Students’ Problems in Learning English (A Case Study of Islamic Education Department (PAI) of Faculty of Education and Teacher Training The State Islamic University Sultan Maulana Hasanuddin Banten) .

Siti Nurmayanti. 152301806. 2019. Exploring Students’ Problems in Learning English (A Case Study of Islamic Education Department (PAI) of Faculty of Education and Teacher Training The State Islamic University Sultan Maulana Hasanuddin Banten) . This research investigates the students’ problems in learning English. The purpose of this study is to investigate difficulties in learning English in Islamic Education Department (PAI) and what factors cause difficulties in learning English. The data was analysed by using descriptive qualitative method that produces words in the presentation of the data. The instruments used were observation and interview. The participants of this research were 30 students. They were taken from students in class 2E of Islamic Education Department (PAI) of academic year 2018/2019. The results of this research are: The difficulties in learning English, namely difficulties in grammar, pronunciation, and difficulties in vocabulary. But, when the researcher compare from the answer participants from the difficulties to easier, based on four skills in learning English that are: speaking, listening, writing and reading. Meanwhile, factors cause the difficulty of learning English in Islamic Education Department is lack of motivation, environment factor, and lack of knowledge of English. So, it can be concluded that the research subjects experienced varying English difficulties. This happens due to factors in the level of mastery of different English. Keywords: learning difficulties, students problems and English.
A SURVEY ON IMAGE AND VIDEO UPSCALING AND MEASURING MATICES

Image upscaling takes a key role in the field of image processing to enhance the image and video resolution for Super Resolution (SR) in the devices such as computer system as well as in smart phone. Nowadays many remarkable machine learning based techniques of image RS are being developed. In this paper a survey on current advanced image SR techniques which use the machine learning approaches with a systematic way is presented. It is also presented other topics regarding metrics along with publicly available benchmark datasets for evaluation of the performance. Here we give the conclusion for this survey after evaluation of the results by highlighting the merits and demerits of the techniques along with potential directions.
ANALYSIS OF DATA SECURITY FOR MEDICAL IMAGES

With the advancement of technology and digital information, the security, privacy andconfidentiality of medical data is very crucial because medical image data are widely distributed over the publicchannel (internet). This has greatly improved the telemedicine area and provide a low cost, remote pre-diagnosismodel to extend expert medical support in the remotest regions with limited medical facilities. Maintainingmedical data integrity, confidentiality and authorized use while storing, transmitting and utilizing medicalimages is of great concern as the medical images are sensitive and private data and tempering with it is a highrisk to life. The need for the securing medical images over internet is of utmost importance and ever growing.Traditional methods like cryptography, steganography and watermarking are used for the protection of medicalinformation. This paper discusses several image security techniques and its classification done in last few years.The survey and analysis on these methods are used to identify the research gap for future security of medicalimages and also provides a point for future research directions.
A Study on the Ways of Promoting the Prosperity of Serious Novels in the ‘New Normal’ Period in China

&lt;p&gt;With the deepening of the reform and opening up, China has entered a new stage of development of market economy. People are in the pursuit of material life but also pay attention to the cultural level of enjoyment and the socialist core values has been deeply rooted in the hearts of the people. People live and work in peace and contentment, social prosperity and stability, which shows that our country is in peace and stable society in the new normal period. In the reform mission with the theme of innovation and development, literary creation has shown new vitality and gradually developed into a new normal environment for literature. People's interest in reading novels is related to the prosperous environment of new century literature. Not only writers pay attention to readers' reading tendency, but also the publishing industry and magazines also care about people's reading tendencies. In the cultural consumption market, people pay more attention to the writing trend of novels. To promote the long-term prosperity and stable development of serious novels is a priority under the new normal environment in China.&lt;/p&gt;
ANALISIS PERSEPSI DAN HUBUNGAN PRESTASI BELAJAR MATEMATIKA DENGAN PRESTASI BAHASA PEMROGRAMAN

Mathematics is the basis before learning coding-based courses. This type of research is quantitative descriptive. Sample of 110 informatics engineering students. The results of the study showed a significant association of learning outcomes in mathematics with the achievement of learning programming languages. The magnification coefficient of 0.663 has a moderate and positive meaning. The contribution of mathematics in explaining programming languages ​​is 43.97% and the remaining 56.03% is accepted by other variables. Students' perceptions of mathematics and programming languages ​​consist of four levels of understanding, namely the five senses, analysis, interpretation and evaluation. Every level of dimension. On the sensory dimension of 31.9% mathematics has a close relationship with programming languages. In the dimensions of analysis and interpretation, the value of the percentage of perceptions that are almost the same namely 21.24% and 21.14% associate mathematical concepts with the concepts of programming languages. In the evaluation dimension of 20.6%, it shows that in programming languages, students need information other than mathematics, namely the purpose of the programming language that is being designed.&#x0D; Full Article
Morrisons off the hook as employers welcome clarity on vicarious liability for data breach

Abstract The UK Supreme Court has granted the appeal of supermarket chain WW Morrison Supermarkets plc (Morrisons), finding that the Court of Appeal had misunderstood a number of the governing principles of vicarious liability. Considering Morrisons’ liability afresh, the Supreme Court clarified that the motive and authorized acts of the wrongdoing employee are highly material to a finding of vicarious liability, whilst a causal chain of events is not. Whilst Morrisons’ victory is a welcome clarification on the law of vicarious liability, data controllers should take note: had Morrisons not been a sophisticated data controller paying particular attention to its obligations under data protection legislation, the outcome would likely have been more of a cautionary tale.
Generative Flows with Matrix Exponential

Generative flows models enjoy the properties of tractable exact likelihood and efficient sampling, which are composed of a sequence of invertible functions. In this paper, we incorporate matrix exponential into generative flows. Matrix exponential is a map from matrices to invertible matrices, this property is suitable for generative flows. Based on matrix exponential, we propose matrix exponential coupling layers that are a general case of affine coupling layers and matrix exponential invertible 1 x 1 convolutions that do not collapse during training. And we modify the networks architecture to make trainingstable andsignificantly speed up the training process. Our experiments show that our model achieves great performance on density estimation amongst generative flows models.
The Application Analysis of the French Horn in Chinese Symphony Based on Fusion Features by Computer Aided Technique

Abstract With the further deepening of reform and opening up, China has gradually begun to study the horn. The horn, with its unique charm, integrates woodwind instruments with brass instruments and becomes a complete art. In this paper, the application of the French horn based on fusion features in Chinese symphonies is analyzed by computer aided technique. It further shows that the French horn plays an important role in Chinese symphonies.
HANDWRITTEN TEXT RECOGNITION USING FUZZY MIN-MAX NEURAL NETWORK

Artificial neural networks tools are most widely used in machine learning. It is encouraged by the way the human brain works. As human has neuron structure through which the information of sensation is transformed from one neuron to another, in the aspect of neural networks, there is any number of input layers and output layers, along with one or more hidden layers in between. Artificial neural networks are designed to solve a complex problem like pattern recognition which is complex to recognize by a human. Due to the new technique called backpropagation that will be introduced, the neural networks will be a significant part of Artificial Intelligence. Handwritten character recognition (HCR) is a challenging field to study, as numerous variations are found in the writing style of humans. In this paper, we come up with a new approach to recognize handwritten characters for the English language using a Fuzzy min-max neural network (FMMNN). The suggested approach in this paper can improve the recognition rate of character.