Reviewerly/exHarmony huggingface dataset:
Fast Simulation Method for Analog Deep Binarized Neural Networks

We propose a simulation method for analog deep binarized neural networks which enables fast and accurate simulation. This method is based on look-up tables and can accelerate simulation on a GPU. It extracts the look-up tables using a circuit simulator such as SPICE under various types of environments. To prove the validity of this method, we show the experimental results for analog deep binarized neural networks. In the experiment, we could accelerate the simulation by 612K times compared to FineSim simulation on an example of multilayer perceptron.
Artificial Intelligence and Machine Learning in Cancer Care: Current Applications and Future Perspectives

Cancer is the second most common cause of death worldwide, accounting for an estimated 9.6 million deaths in the year 2018, a number that is expected to grow to more than 13 million by 2030. In the past decade, we have witnessed unprecedented scientific advancement in the understanding of cancer etiology, prevention, diagnosis and development of new therapeutic strategies.
Bentuk, Fungsi, dan Distribusi Reduplikasi Kata Benda Bahasa Melayu dan Bahasa Jepang

Reduplication is a process of multiplying words in which many new words can be generated, and the process has a lexical function that can maintain the class-maintaining or class-changing (word-changing) of a word, as asserted by Asmah (2001: 17-35) that “Reduplication has a lexical function; that is to say it derives new words from the root-forms’’. This study aims to make reduplication of contrasting qualitative descriptive nouns existing in languages other than English and Japanese. The comparisons were carried out between the two languages aiming to examine similarities and differences in function or reduplication of nouns in both Malay and Japanese. The data were taken from the libraries, such as Takayama (2012), Osato (2013), Kobayakawa (2004), Tamura (1991) and Matsumoto (2009) for the Japanese, and Asmah (1975) and Abdullah (1974) for the Malay, and analyzed by comparing elements of similarities and differences existing in both languages. Among the interesting findings is the name word “hito” (person) in Japanese to “hito-bito” (people), showing the change of consonant / h / to / b / in its first syllable, which can be categorized as reduplication with the change of sound. Likewise with Malay, there is a change in the consonant sounds in “lauk pauk”, in which / l / becomes /p/ and in “sayur-mayur” / s / becomes / m / when pluralized.
Design of Combinational Circuits Using Reversible Decoder in Tanner Tools

Reversible logic is the emerging field for research in present era. The aim of this paper is to realize different types of combinational circuits like full-adder, full-subtractor, multiplexer and comparator using reversible decoder circuit with minimum quantum cost. Reversible decoder is designed using Fredkin gates with minimum Quantum cost. There are many reversible logic gates like Fredkin Gate, Feynman Gate, Double Feynman Gate, Peres Gate, Seynman Gate and many more. Reversible logic is defined as the logic in which the number output lines are equal to the number of input lines i.e., the n -input and k -output Boolean function F ( X 1, X 2, X 3, ..., Xn ) (referred to as ( n,k ) function) is said to be reversible if and only if (i) n is equal to k and (ii) each input pattern is mapped uniquely to output pattern. The gate must run forward and backward that is the inputs can also be retrieved from outputs. When the device obeys these two conditions then the second law of thermo-dynamics guarantees that it dissipates no heat. Fan-out and Feed-back are not allowed in Logical Reversibility. Reversible Logic owns its applications in various fields which include Quantum Computing, Optical Computing, Nano-technology, Computer Graphics, low power VLSI etc. Reversible logic is gaining its own importance in recent years largely due to its property of low power consumption. The comparative study in terms of garbage outputs, Quantum Cost, numbers of gates are also presented. The Circuit has been implemented and simulated using Tannaer tools v15.0 software.
Eigenvideo for video indexing

Abstract At present times, the videos are indexed using textual tokens to describe their contents. This works up to an extent but is not very efficient if a user wants to locate a complete video based on a snippet. Further, the user may not describe the video using the exact tokens that have been used for indexing. This leads to our research in indexing based on the contents of a video. Such indexing can also be used to remove redundancy from large libraries of videos. We propose the use of principal component analysis to reduce the dimensionality in large scale video data. This will be further used to determine the best eigenvectors of the dataset that have the smallest eigenvalues. The resultant eigenvectors that we call eigenvideos, encapsulate the true dimensionality of video datasets. We present the algorithm that starts by building a representative feature vector for each scene in the dataset. The representative feature vectors are used to determine the eigenvectors that represent the whole dataset. We will present the complete algorithm and show the results using video datasets.
Investigating the influence of groups of variables on the task of predicting the age of an author in blog posts

The identification of the profile of users from texts on the Internet is a relevant task in the context of today's society. This activity is known in the literature as Author Profiling. Among the essential characteristics to be deduced in this task is the age. This feature is paramount, for example, for the identification of potential sexual predators in environments targeted for children. However, one of the issues faced in resolving this problem is the identification of which variables should be taken into account to address this problem. Thus, this article aims to identify which variables are relevant in building a data mining solution to infer a user's age from a text on the Internet. An experimental study was carried out in a database of a prestigious international competition, considered a benchmarking of the area, to validate this work. The results showed that there is a difference between the possibilities of variables that can be constructed to solve this problem and justifies the importance of each variable group for this purpose. The main contribution of this study was to find different relevance among groups of variables previously mentioned in the literature.
Utilizing Edmodo in writing class: Why and how?

ABSTRACT&#x0D; This paper comes up to discuss the theories and previous studies about using Edmodo in writing class. Using social network system in the Industrial era 4.0 helps teaching and learning activities become more effective because students can learn in and outside the class. Thus, it is helpful especially in writing class which require long learning time to use this kind of application. Therefore, utilizing an online applications in writing class can help students to improve their writing skill and to make learning time more efficient. One of online applications that is widely used in writing is Edmodo. Generally, this paper then will discuss about explanation of writing processes, problems in writing, explanation about learning media, description of online application, description of Edmodo,benefits of Edmodo, and how to apply Edmodo in writing course. Some previous research highlighting the effect of Edmodo on student’s writing skill is the next discussion. This paper finally gives conclusion and pedagogical implication as the closing.&#x0D; Keywords: writing class, online application, Edmodo&#x0D;
Risk assessment of foundation pit construction using cloud model

The risk level evaluation of foundation pit construction has the characteristics of fuzziness and randomness. Based on the theory of cloud model, a new model of risk level of foundation pit construction is discussed to comprehensively analyze the fuzziness and randomness of foundation pit construction risk assessment. Firstly, the evaluation index system of foundation pit construction risk level is established according to the field monitoring value, and then the cloud numerical characteristics of each evaluation factor belonging to different risk levels are calculated. According to the cloud digital characteristics of each evaluation factor, the determination degree of each evaluation factor belonging to different risk levels can be obtained. Finally, the weight and determination degree of the evaluation factor can be calculated comprehensively to obtain the comprehensive certainty degree of foundation pit construction risk, so as to determine the foundation pit construction risk level. The results of practical application and comparison with other evaluation methods show that this model is effective and feasible for risk classification of foundation pit construction, and has the advantages of simple calculation process and reliable results, which also provides a reference for the analysis of other similar problems.
Challenges in Using ICT in Teaching Secondary School Physics and Effect of Teaching Using ICT on Students’ Physics Academic Achievement in Mombasa County, Kenya

In the recent past, the Government of Kenya and other stakeholders have invested massively in Information and Communication Technology (ICT) in secondary schools.The aim of this has been to enhance pedagogical approaches for teaching and learning.Information and Communication Technology (ICT) provides an opportunity for Educational Institutions and other organisations to harness and use technology to complement and support the teaching and learning process.However, despite the enormous advocacy for ICT-aided teaching and learning, investment and donation of ICT equipment to schools, there is a challenge of how to transform students learning process to provide students with the skills to function effectively in this information-rich and dynamic environment.This study was aimed at identifying the challenges involved in the use of ICT in the teaching of Physics and the possible solutions to the challenges Further, it sought to find the effect of using ICT on academic achievement of Secondary School Physics students in Mombasa County.This was done by administering questionnaires to 148 Physics teachers in public and private secondary schools, and conducting interviews with three (3) ICT champions in the county.An experiment was conducted involving 143 Form Two Physics students and one (1) Physics teacher in a purposively selected secondary school to determine the effect of teaching using ICT on students' academic achievement in Physics.The experimental data was analysed using a two way analysis of variance (ANOVA).,The finding of this study agree with Adeyemo who found that students performed better in Physics when ICT was applied in the teaching of Physics.Among the recommendations made was availing of better quality ICT resources to schools to improve learning outcomes.
Bidirectional Database Synchronization to the Cloud Computing Platform

Diversity of subsystems in the organization can lead towards bad business results. Many companies decide to patch their business system with multiple subsystems which are usually not interoperable. Along with that, organizations have the dilemma of deciding whether to implement best-of-breed or one vendor solution. There is no correct answer to the dilemma. The outcome of the dilemma depends on each organization individually based on their analysis and needs. This article analyzes how to overcome data inconsistency caused by patching the business system and presents an approach to the synchronization of different databases to the Cloud. Usage of database synchronization tools to unify data in the Cloud is practical for mature organizations which aim to establish data consistency. The goal of this article is to consider some tools for database synchronization and to choose one for the practical example considering the known constraints. In the approach, we used few different databases to verify its compliance with chosen synchronization tool. The approach is based on practical example where couple of databases are synchronized to the Cloud ensuring the data consistency and bidirectional data flow. The solution includes chosen tool and the recommendation on how to ensure flawless data integration in the Cloud. Tests of synchronization duration with chosen databases and row quantities are conducted and analyzed at the end of the article.
Seeking economic cyber security: a Middle Eastern example

Purpose The transformation of the United Arab Emirates (UAE) into an important global economic player has been accompanied by digitalization that has also left it at a risk to cybercrime. Concurrent with the rise in technology use, the UAE fast became one of the most targeted countries in the world. The purpose of this paper is to discuss how the UAE has tried to cope with accelerating levels of cyber threat using legislative and regulatory efforts as well as public- and private-sector initiatives meant to raise cybersecurity awareness. Design/methodology/approach The paper surveys the UAE’s cybersecurity legislative, regulatory and educational initiatives from 2003 to 2019. Findings Because the human factor still remains the number one reason for security breaches, robust cyber laws alone are not enough to protect against cyber threats. Building public awareness and educating internet users about cyber risks and safety have become essential components of the UAE's efforts in building a more secure cyber environment for the country. Research limitations/implications The paper relies on English-language translations of primary sources (laws) originally in Arabic, as well as English-language studies from local media. This should not be considered a problem, as English is established as the language of business and commerce in the UAE. Practical implications The paper provides a detailed overview of the country’s cybersecurity environment to guide and aide practitioners with risk assessment and legal and regulatory compliance. Originality/value The paper presents a comprehensive overview of the UAE’s cybersecurity legislative, regulatory and educational environment. It also surveys government and private sector initiatives directed in protecting the country’s cyberspace.
Dynamical Semigroups in the Birkhoff Polytope of Order 3 as a Tool for Analysis of Quantum Channels

In the present paper we show a link between bistochastic quantum channels and classical maps. The primary goal of this work is to analyse the multiplicative structure of the Birkhoff polytope of order 3 (the simplest nontrivial case). A suitable complex parametrization of the Birkhoff polytope is proposed, which reveals several its symmetries and characteristics, in particular: (i) the structure of Markov semigroups inside the Birkhoff polytope, (ii) the relation between the set of Markov time evolutions, the set of positive definite matrices and the set of divisible matrices. A condition for Markov time evolution of semigroups in the set of symmetric bistochastic matrices is derived, which leads to an universal conserved quantity for all Markov evolutions. Finally, the complex parametrization is extended to the Birkhoff polytope of order 4.
A New Method for Hierarchical Image Segmentation from Visual Designs

Hierarchical image segmentation recognizes and organizes image elements into a tree structure. The tree structure represents the semantic information of the image. It is one of the most fundamental computer vision problems. This paper focuses on the images that come from visual design such as graphic interfaces, posters, and presentations. Extracting hierarchical structure from such images allows quantitative analysis of visual design choices and reproducing designs from hand drawings or hard copies. We propose a more accurate method that incorporates the common design principles of visual designs. We compare our algorithm with seven existing approaches on the most popular websites screenshots ranked by Alexa. Our method outperforms the state-of-the-art methods in tree edit distance and F-score, and is comparable or better in the bottom-up distance.
EXPLORING THE IMPLEMENTATION OF DUOLINGO MEDIA FOR ASSIGNMENT IN LEARNING ENGLISH

This research is aimed at investigating the use of Duolingo media in learning English as students’ assignment at eleventh grade students of methodist senior high school. A case study was used as the research design. The participant was an English teacher and 30 eleventh-grade students of Methodist school. The data were collected by interviewing the teacher and giving students questionnaires in order to attain the data needed for this reseach. The interview result was analysed by using procedure of data analysis from Miles and Huberman (1994), while the result data of the questionnaire was analyzed by using percentage formula from Sudjana (2002). The research finding shows that the teacher and students consider that using the Duolingo media was effective in learning English because it improved students’ willingness to do the assignment at home via Duolingo media and language skills in learning English. In conclusion, Duolingo media can be applied in by students to finish English assignment at home because it maked students excited and interested to do the homework by Duolingo.
Design and Implementation of Vehicle Collision Detection and Alarm System Based on Smartphone

Abstract Every year, there are a large number of people died in traffic accidents in our country. If people can get help in time after a traffic accident, the survival rate of the people who are treated can be greatly increased. Therefore, it is very necessary to have a system that can detect traffic accidents and call the police or notify the rescuers in time. According to the survey and analysis, the functions of some similar systems in China are not perfect and most of the cost are high, which cannot be widely promoted in China with a high private car base. Based on the acceleration sequence value obtained by the smartphone accelerometer, this project designs the vehicle collision detection algorithm and realizes the collision detection during the driving process of the vehicle in the android environment. When a collision event is detected, the system can promptly send the collision information to the preset phone number and drive the camera function of the mobile phone, perform instant photo forensics on the scene, and finally send the help information and the accident photo to the preset phone number. The project system can realize the detection and alarm function of automobile collision accidents in time, and provide timely rescue after the collision accident.
Multi-resolution Hierarchical Clustering by Vector Quantization

Clustering aims at grouping of objects or data-points based on a certain measure of similarity. Existing clustering algorithms estimate the measure of similarity of expected data-points to fall in a cluster with respect to presumed or computed cluster centroids. Such approach of distance measure between cluster centroid and possible data points to lie in cluster often results in misclustering, particularly for points equidistant to multiple cluster centroids. This paper offers an interesting solution to this problem by quantization of the attributes of the preferred cluster centroids and then checking the existence of the respective attributes of data-points within the quantized intervals for possible inclusion of data-point in the cluster. This approach, referred to as vector quantization offers additional merits of clustering at different user-defined resolutions of data-points of varying local density. Experiments undertaken confirm the superior performance of the proposed clustering over the state-of-art algorithms with respect to Jaccard coefficient on breast cancer dataset.
Virtual Kayaking: A Study on the Effect of Low-Cost Passive Haptics on the User Experience While Exercising

This paper presents the results of a pilot study that assesses the effect of passive haptics on the user experience in virtual reality simulations of recreation and sports activities. A virtual reality kayaking environment with realistic physics simulation and water rendering was developed that allowed users to steer the kayak using natural motions. Within this environment the users experienced two different ways of paddling using: a) a pair of typical virtual reality controllers, and b) one custom-made “smart paddle” that provided the passive haptic feedback of a real paddle. The results of this pilot study indicate that the users learned faster how to steer the kayak using the paddle, which they found to be more intuitive to use and more appropriate for this application. The results also demonstrated an increase in the perceived level of enjoyment and realism of the virtual experience.
Case-based Reasoning of Damaged Ancient Buildings based on Ontology

At present, China has a large number of ancient buildings, and correspondingly, it also faces many problems. Staff of different professions have inconsistent perceptions of ancient buildings, resulting in inability to interact with information. In addition, the ancient architecture case did not carry out efficient reuse of knowledge. Therefore, this article applies ontology to the field of ancient architecture, and proposes the knowledge expression of ancient architecture based on ontology. And SWRL is used to describe the ancient building rules. Secondly, through the application of case-reasoning technology, the reuse of case knowledge of ancient architecture is realized. Ontology-based case representation can provide a unified definition of ancient building knowledge for different participants and lay the foundation for information interaction. Case-based reasoning provides an implementation method for knowledge reuse of ancient building damage cases.
Secure and privacy-preserving multi-keyword ranked information retrieval from encrypted big data

Cloud deployment raises some security challenges to the confidentiality of data, and the privacy of users. These challenges, along with the pressing demand for adopting big data technologies, together call for the development of stronger encryption algorithms. But encrypting the data makes it difficult to retrieve the most matching documents with respect to the query keywords. Therefore, the authors propose a solution for the ranked encrypted information retrieval, using the modified homomorphic encryption scheme (MHE) still preserving user's privacy. The scheme efficiently utilises the processing power of the cloud server to compute the similarity scores, leaving the decryption and ranking to the client side, thus ensuring the security of the data. Vector space model and term frequency-inverse document frequency (TF-IDF) concepts are used for similarity matching. The execution is then accelerated using a Hadoop cluster and is found to be accurate, efficient, scalable and practical for real world applications.