Reviewerly/exHarmony huggingface dataset:
Remarks on a Quaternion Recurrent Neural Network for Controlling a Robot Manipulator

In this study, the application of a quaternion recur-rent neural network (QRNN) for controlling a robot manipulator is investigated. A QRNN that considers two types of recurrent networks: Elman network and Jordan network, with a split-type quaternion activation function of neurons is used. Also, a realtime recurrent learning extended to quaternion numbers is introduced to train the network using a back-propagation algorithm. In the computational experiments, a three-link robot manipulator controlled using the proposed QRNN-based controller is used. The simulation results demonstrate the effectiveness of the proposed QRNN for practical control applications.
SECURITY RELATED CHALLENGES OF INTERNET OF THINGS (IOT)

The Internet of Things (IoT) is swiftly growing, expanding and reaching various domains, including personalhealth care, environmental monitoring, home automation, smart mobility, and Industry. Thus it emerges a large network ofmillions of objects interacting with each other, while overcoming various challenges (technical and application based).Although it effectively solves many physical world problems, still its security is under threat. The situation gets worsen as theno. of connected devices are increasing exponentially. Thus its privacy and security has emerged as major challenge. Thispaper deals with security challenges faced by IoT. It introduces the status of IoT development, including its policies, R&Dplans, applications, and standardization. Also, this paper highlights some challenges related to technologies, applications, andstandardization. Finally, discusses the opportunity and prospect of IoT.
Strain and Surface Warping Detection of Interconnect Microstructures via Laser Diffraction

As 2.5D/3D interconnect technologies continue to advance, the microstructure environment of a package becoming increasing complex, with structures consisting of different materials packed into regions only a few microns in size. Under such conditions, sub-micron mechanical strain induced by thermal loading must be well understood to prevent failures. Today, the two most common in situ methods of measuring strain fields in microelectronic packages are Digital Image Correlation (DIC) and Moiré Interferometry. A calibrated DIC tool is capable of measuring image displacements of approximately 0.1 pixels. However, its use in the sub-micron regime requires a quality speckle pattern on the sample surface which is often difficult to fabricate. Additionally, the pattern must be resolved at high magnification, limiting the view field. Moiré Interferometry provides a wider view field than DIC, however displacement resolution is on the order of λ/2, where λ is the wavelength of laser light used to generate a Moiré pattern. Due to these limitations, we explore the use of laser diffraction to precisely measure pitch of Au diffraction gratings bonded to a TSV at various temperatures. Improvements to our setup show a tenfold increase in pitch mapping speed and resolution, with the ability to measure surface angle/warpage.
Heavy metals in the soils of geochemically coupled landscapes of the Krasnouralsk industrial centre

The results of a study of the gross content of heavy metals in soils in the area of operation of the Svyatogor copper smelter located in the Sverdlovsk region are presented. In the course of the research, sections were laid at different distances and directions from the emission source. The gross concentration of Zn, Cd, Pb, and Cu was measured in the selected soil samples. According to the results of the analysis, a ranking was carried out with the calculations of the total pollution coefficient, lateral and radial differentiation of heavy metals, and the technogenicity index. In order to confirm the routes of the arrival of heavy metals with airport emissions, the maximum single surface concentration in atmospheric air was calculated with the calculation of the distance at which this concentration reaches its maximum value. In the calculation of the total pollution coefficient, it follows that areas located in the immediate vicinity of the emission source have an extremely dangerous category of soil pollution. Also, in these areas, the proportion of technogenic involvement of the element is more than 90%. The obtained values of the coefficient of radial differentiation of heavy metals in the meridional and latitudinal directions, indicates the presence of a number of physical and chemical geochemical geochemical barriers. The migration of heavy metals between conjugated systems is confirmed by the lateral differentiation coefficients. In the course of the work, the main sources of heavy metals entering the soil were identified, such aero-industrial emissions of the plant and aeolian transfer from technogenic disturbed lands. Among the identified patterns of distribution of heavy metals, the main ones are the presence of a high degree of relations of disturbed lands with autonomous natural areas and periodic changes in the direction and power of aero-technogenic flows of the plant.
A Model for Context-Based Similarity Measurement of Opinions by Using Dynamic Weighting Scheme

In today era, huge amount of data generated by social and commercial organization like amazon, Facebook, twitter and what Sapp.These data may contain knowledge about users.The hidden knowledge in data set, lead researcher to study about that.The opinion mining is an interesting and challenging area for research community.The mining of opinions are difficult task for company and users.The meaning of opinion is decided by a context at run time.All weighing scheme generally use a static weigh for opinion representation.The weight of term exist in opinion should change by context.In this paper we present a model to evaluate the similarity between opinions by using context at run time.We test our model with review of cellular phone users.From the result we prove that in opinion similarity measurement weight of term cannot be consider as static it vary from one context to another context
INVESTIGATING INFORMAL DIGITAL LEARNING OF ENGLISH (IDLE) SPEAKING PRACTICES EMERGE THE BOUNDARIES BETWEEN COUNTRIES

The aim of this paper was to investigate the influences of informal digital learning of English (IDLE) speaking practices which emerge the boundaries between countries. The researcher used questionnaire, interview, document analysis, and observation as data collection. For analyzing qualitative data, the researcher used narrative inquiry model including data collection, data transcription and reporting the narrative study. The participant were two female undergraduate students of English department in Indonesia. The result explained that IDLE speaking practices influence their self-confidence, motivation, and communication competence. This research also reveald that their language learning strategy through IDLE speaking practice widen their social and culture understanding. This new language learning strategy in informal context helps digital natives in this era to enjoy their learning.
PERANCANGAN SISTEM CERDAS CHATBOT ADMIN TOKO ONLINE DENGAN ALGORITMA LEVESHTEIN DISTANCE

The progress of technology has become faster every year, this progress has impact so many aspec of humanslife. One of the aspec that change so much in this days is online shopping where the seller sell their producton the internet and the customer buy it from the internet. The phenomenon make the need of cutomer servicebecome more crucial than before. Because of this phenomenon this research try to make the system thatcan change customer service with chatbot. The method that used in this research is a string matching withLevenshtein Distance algorithm. After the string matching has a result, the result that will be manipulatewith natutal language processing so the customer who use the system will feel talk with human rather thanwith the machine. The resault of this research is a system that can make a conversation with humanlanguage. From the test indicating the system can handle a couples user in the same time, and from the testgive a resault that system can understand the word that being inputed.Keyword: Chatbot, Levenshtein Distane(LD), Natural Language Processing(NLP).
نحو بناء موارد لسانية لبلورة محلل تركيبي للجملة العربية

The present paper is intended as a contribution to the automatic treatment of Arabic language. It presents a project conducted at the Institute for Studies and Research on Arabization to develop a Syntactic Analyzer for this language. Taking into account the characteristics of Arabic language syntax, our framework draws on both old and modern theories of Arabic linguistics to account for our twofold objective. The project aims at classifying the syntactic rules that govern the Arabic sentence typology and building a syntactic lexicon. 385 syntactic rules constituting Arabic language, including different syntactic patterns and sentence forms, have been elaborated. The syntactic lexicon is taken to be an open source that includes a database of 24171 entries tagged with combinatorial features (that contribute to specifying various verb categories and context of use) in a manual and semi-automatic way. Such classification allows to better analyze Arabic syntax and, thus, enhance the role of the lexicon as an important linguistic resource in the automated treatment of Arabic language in general, and its various applications in grammar analysis in particular.
LibGuides: Creating Inclusive Environments While Increasing Our Capacity for Diversity: Diversity Best Practices

Facilitator: Dr. Sherry Early, Assistant Professor, COEPDThe Center for Teaching and Learning invites you to participate in a new faculty learning community for the 2018-2019 academic year. Faculty Learning Communities (FLCs) are one opportunity for f
Constructing Emotional Weak Labels for Online Shopping Platform Based on Product Attribute and Relevance

Based on the product review corpus, it is difficult to accurately analyze the emotional polarity of candidate emotion words without considering the domain-oriented emotional polarity weak tags. In order to solve this problem, this paper proposes a method for calculating the weak tags of word sentiment polarity based on product attributes and relevance. Based on the obtained subject and attributes of the goods, the user’s satisfaction with them and the relevance between them and the candidate emotion words are calculated by using enhanced point mutual information. Finally, the value of the emotional polarity weak label of the candidate emotional word is calculated according to the satisfaction degree and the degree of association. Experimental results show that calculating the emotional polarity labels of candidate emotion words can effectively improve the accuracy of emotion classification.
Railway Defender Kill Chain for Cybersecurity

The railway is one of the most important infrastructures and its security is as important as other critical infrastructures. Due to the increase in cyber-attacks, there is an increasing trend in th ...
Recursive Tangent Algorithm for Path Planning in Autonomous Systems

Autonomous drones play a vital role in Disaster mitigation systems and commercial good delivery systems. The problem involves finding the shortest path between the delivery points while simultaneously avoiding stationary obstacles (for example high raised buildings) and moving obstacles like other drones. The path needs to be continuously changed based on the telemetry from other drones or based on the addition of new way-points. This is major issue in planning problems. Any algorithm will have to make complex choices like abandoning shortest paths to avoid collisions. In this paper we propose a tangent algorithm which chooses paths based on many performance measures like number of obstacles in current path and the future path and the distance to the next obstacle. The path has very few sharp turns and the locations of these turns are calculated during the path planning. The performance evaluation on different environments demonstrates that the algorithm will be particularly faster in case of both sparse and dense obstacles.
Data Security in University Libraries of Tamil Nadu: An evaluative study

The main objective of this article is to analyse the data information and computer security measures, organisational, physical and technological in university libraries at Tamil Nadu. It is safe to assume that the current research will help in developing the security gaps in data information at libraries under study. The topic and guidelines inter-related to carry out the Policy of Information Security are presented based on the results that were obtained through this research, by going to libraries for filling in application forms and to comprise information whose content was analysed. However, it summits that the findings of this research will not only set the university librarians in the path to develop their security measures on data information, but also open the opportunities for improving data information and system security in this modern era, so that they can go beyond the boundaries being put in front of librarians.
Machine learning continuous-variable quantum key distribution embedded with quantum multi-label classifier

Discretely-modulated continuous-variable quantum key distribution (CVQKD) is more suitable for long-distance transmission compared with its Gaussian-modulated CVQKD counterpart. However, its security can only be guaranteed when modulation variance is very small, which limits its further development. To solve this problem, in this work, we propose a novel scheme for discretely-modulated CVQKD using multi-label learning technology, called multi-label learning-based CVQKD (ML-CVQKD). In particular, the proposed scheme divides the whole quantum system into state learning and state prediction. The former is used for training and estimating quantum classifier, and the latter is used for generating final secret key. A quantum multi-label classification (QMLC) algorithm is also designed as an embedded classifier for distinguishing coherent state. Feature extraction for coherent state and related machine learning-based metrics for the quantum classifier are successively suggested. Security analysis shows that QMLC-embedded ML-CVQKD is able to immune intercept-resend attack so that small modulation variance is no longer compulsively required, thereby improving the performance of discretely-modulated CVQKD system.
Identification of Technology-relevant Entities Based on Trend Curves and Semantic Similarities

Technological developments are not isolated and are influenced not only by similar technologies but also by many entities, which are sometimes unforeseen by the experts in the field.The authors propose a method for identifying technology-relevant entities with trend curve analysis.The method first utilizes the tangential connection between terms in the encyclopedic dataset to extract technology-related entities with varying relation distances.Changes in their term frequencies within 389 million academic articles and 60 billion web pages are then analyzed to identify technology-relevant entities, incorporating the degrees and changes in both academic interests and public recognitions.The analysis is performed to find entities both significant and relevant to the technology of interest, resulting in the discovery of 40 and 39 technologyrelevant entities, respectively, for unmanned aerial vehicle and hyperspectral imaging with 0.875 and 0.5385 accuracies.The case study showed the proposed method can capture hidden relationships between seemingly unrelated entities.
Secure Big Data Computing Based on Trusted Computing and Key Management

In view of the security problems in the management and use of big data in the information age, this paper proposes that under the trusted computing, through the encrypted data and the storage management and calculation of the encrypted data, the network can realize the active defense, ensure that the big data is stored, trusted, manageable, and make the big data more secure and effective. Based on the existing problems in the key management of the existing platform, a scheme of using rootkit technology to strengthen the platform protection is proposed. The test results show that the new method can improve the security of key management.
Working with Geofences in CoreLocation

You can support region monitoring with geofences inside your iOS application with CoreLocation. iOS has built-in region monitoring, meaning that your application does not have to be in the foreground and also does not have to use excessive energy by continually checking the user’s location.
Standardized Storage of Personalized Environment Terminal Based on Cloud Storage Technology

With the progress of modern science and technology and the development of Internet information technology, cloud storage mode arises at the historic moment, which has been widely used in data transmission and cloud storage. At present, cloud data transmission is mostly in plaintext form, which is difficult to ensure its data integrity. To solve this problem, this paper will focus on the in-depth analysis of cloud data transmission encryption and data cloud storage integrity verification scheme, explore the security of its core algorithm, and verify its feasibility through the simulation system, to analyze its feasibility in personalized environment terminal standardized storage. Based on cloud storage technology as a starting point, this paper analysis the appearance characteristics of the cloud storage technology, application features, optimization and highlighting characteristics, and analyze the connotation of the cloud storage technology and experiment, the results of cloud storage technology can effectively defend against ARP frequency up to 96 times/s, and then from two aspects of technical support, design work of cloud storage technology development.
Analyzing and Enhancing Processing Speed of K-Medoid Algorithm Using Efficient Large Scale Processing Frameworks

K-medoid algorithm has recently become a highly active and most discussed topic. It is better than k-means as it is more robust and less sensitive to outliers, but it itself has drawbacks such as number of medoids should be given in advance which is hard to determine and the initial k-clustering centers need to be chosen at random. This article focuses on new modified k-medoid++ algorithm, which is a proposed algorithm for increasing the processing speed and efficiency of K-medoid algorithm. However, not only modifying the algorithm increases the processing speed, but selecting appropriate framework to efficiently run the algorithm has its own perquisites. Apache Hadoop and Spark provide an effective open source solution for big data. Many researchers are making false interpretations about these frameworks regarding the performance and efficiency. In this paper, the performance of both the frameworks are compared by implementing simple k-medoid algorithm and then selecting the appropriate tool for modified k-medoid++ algorithm. It was also observed on implementing the k-medoid algorithm, that on selecting initial medoids randomly was giving random results.
PEMBUATAN BAHAN AJAR ENGLISH FOR YOUNG LEARNERS UNTUK YAYASAN AL-KAHFI CABANG PALEMBANG

Regarding the English instruction, Yayasan Al-Kahfi Cabang Palembang (YACP) has seven  problems. The problems include lack of English teachers, lack of knowledge on young leraners’ characteristics and skills in teaching young learners, limited learning resources (teaching materials and media), teaching focus on vocabularies only, inappropriate teaching materials for young learners, ineffective teaching media, and uninteresting teaching strategies. The assigned community service program aims at providing the teachers with  knowledge on young learners’ characteristics and teaching young learners and designing sistematic and contextual teaching materials for young learners in group A (elementary students in years 1, 2, and 3. The program was carried out through discussion and teaching material design. The process of the material design consisted of three main steps: preliminary study, design of teaching material draft, and evaluation and revision of the materials. Through this community service program, four of seven problems faced by YACP can be solved. First, the English teachers’ knowledge on  young learners’ characteristics and teaching young learners increases.  Second, the teacher and the students have the course book ‘English for Young Leraners’ consisting of 12 topics. Third, the materials are sistematic, contextual, and suitable for young learners. Fourth, by using this book, the teachers will teach not only isolated words  but also the use of the words in sentences through four language skills – listening, reading, speaking, and writing. This program will be continued in 2020 with the focus of providing the teachers with the training and coaching to use the course book. Since the book contains some drawbacks and  mistakes probably found when using it, the book revision needs to do.
Rancang Bangun Sistem Terdistribusi Dalam Meningkatkan Kualitas Layanan Kemahasiswaan

The development of the world of education at this time is classified as an advanced condition where not only can be seen from how the lecturer transfers the knowledge he has but also seen how the students are able to receive the knowledge provided. The field of education has also become a competition for this matter because there are more and more universities that are starting to provide good services to students and prospective students, with the intention of these universities being able to win the competition. The student service system in STMIK Pelita Nusantara is still manual, so the student services are still unsatisfactory. Data collection techniques in this study using a questionnaire, the model used for the construction of this distributed system is the waterfall method.
The Effect of National Culture on Debt Risk: An Empirical Analysis of “Belt and Road” Countries

This paper examines the relation between three dimensions of national culture (individualism, short-term orientation and uncertainty avoidance) and debt risk using a sample of 65 BRI countries during the period from 2008 to 2017.The empirical results showthat strong individualism and short-term orientation leads to higher national debt risk, while strong uncertainty avoidance leads to lower national debt risk.Further research indicates that international cooperation plays a moderating role in the relationship between national culture and debt risk.It alleviates the negative effect of individualism and short-term orientation on national debt risk.The study proposes to consider national culture in the assessment of the debt risk of BRI countries and it provides empirical evidence and supplementationto the existing literatures from informal institutional perspective.
Social media filters risk First Amendment scrutiny

The U.S. Court of Appeals for the Second Circuit declined in March to revisit its finding that President Donald Trump's practice of blocking his critics on Twitter violates the First Amendment. Barring an intervention by the Supreme Court, this developing application of the First Amendment to social media may leave public universities and colleges — the vast majority of which block particular words or users on their official Facebook and Twitter accounts — exposed to liability.