Reviewerly/exHarmony huggingface dataset:
인용명사의 범위와 유형

The main purpose of this article is to describe what categories of shell nouns can be included and what type of shell noun phrases is being realized. In Chapter 2, we define shell nouns, which are abstract nouns in which the lexical meaning is not concrete when used alone, but are specified in terms of the linguistic context. The relationship between an shell nouns and its lexical realization is not unidirectional but complementary. In Chapter 3, we describe the categories and units of shell nouns. Shell nouns include not only general nouns but also dependent nouns, and include not only a single word but also a phrase with a single meaning. In the case of lexical realization, it extends to include all units that complement the semantic gap of shell nouns, not limited to the existing clause units. In chapter 4, we present the types of shell noun phrases how shell nouns are realized in text. The type of shell noun phrases is broadly divided into shell noun phrases that is realized in sentence and beyond sentence boundary, and is divided into the anaphoric shell noun phrases and cataphoric shell noun phrases.
Action recognition using multi-directional projected depth motion maps

Camera-based action recognition plays a key role in diverse computer vision applications such as human computer interaction. This paper proposes a new action recognition approach using multi-directional projected depth motion map based motion descriptors. First, for the input depth video sequence, all the depth frames in the video are projected onto multiple planes to form the projected images. The absolute difference between two consecutive projected images is accumulated through the entire depth video for establishing maps from multiple views. Then, the local motion consistency of the map is examined to form a histogram of local binary patterns, which are then concatenated and further incorporated into a kernel-based extreme learning machine for action recognition. In contrast to that only three directions are used to calculated the projected depth images for motion feature extraction in the conventional approaches, the proposed approach is able to provide an effective and flexible framework to examine the depth motion maps in multiple projected directions. The proposed approach is evaluated in the well-known MSRA action and gesture video benchmark datasets to demonstrate its superior performance.
Performance Analysis of Various Activation Function on a Shallow Neural Network

In this paper we've completed a brief study on various Activation Function and the way they affect the accuracy of a Shallow Neural network used for binary classification. This paper additionally tries to explore the analysis of Activation Functions with regards to the number of neurons required to induce the most accuracy. Through this paper, we can get a clear understanding and statistical Comparison between various activation Function. It also aims to perform analysis of the different activation functions and provide a benchmark of it.
Quantum Computing I

A remarkable application of quantum mechanical concepts of coherent superposition and quantum entanglement is a quantum computer which can solve certain problems at speeds unbelievably faster than the conventional computer. In this chapter, the basic principles and the conditions for the implementation of the quantum computer are introduced and the limitations imposed by the probabilistic nature of quantum mechanics and the inevitable decoherence phenomenon are discussed. Next the basic building blocks, the quantum logic gates, are introduced. These include the Hadamard, the CNOT, and the quantum phase gates. After these preliminaries, the implementation of the Deutsch algorithm, quantum teleportation, and quantum dense coding in terms of the quantum logic gates are discussed. It is also shown how the Bell states can be produced and measured using a sequence of quantum logic gates.
What Kind of Educational Technical Ability Are Chinese Normal University Students Cultivating? – Based on the Analysis of Educational Technology Teaching Materials

With the advent of the education information 2.0 era and the development of teacher professionalism, more attention has been paid to the development of teachers’ educational technical ability. The public course of educational technology in normal colleges and universities is responsible for the pre-service training of students’ educational technical ability. This paper analyzes the textbooks used in the public courses of educational technology in ten normal universities, trying to answer the question “what kind of educational technology are normal university students learning?
English Ecotourism Training in Tanjung Village, Pakis Aji, Jepara

In the industrial revolution 4.0 era, it is easier for people to communicate through social media such as Facebook, Whats App, Twitter and other similar applications. Similarly, in tracking tourist destinations. Tourists no longer need to laboriously search for information. With a device, everything is finished. Tanjung Village has beautiful ecotourism destinations such as Kali Bening, Jurang Nganten Waterfall, Kalen Wates Waterfall, and Kedung Plumpang. Geographical support in the form of mountainous areas adds a special attraction for visitors. Unfortunately, tourism management is still centralized based on the Village Government through the Tourism Awareness Group (Pokdarwis). In addition, tourism managers are also faced with the low Human Resources (HR) managers in receiving foreign tourists. The ability to communicate in English is still low. So, this dedication focuses on equipping the ability of natural tourism managers in Tanjung Village to communicate in English. They are equipped with basic English skills including general vocabulary of tourism (vocabulary), ways of speaking in English (speaking skills), and public speaking techniques of tour guides (Tour Guides). The final results of devotion produce English-Indonesian Tourism Pocket Dictionary products that can be utilized by managers of tourist destinations in welcoming foreign tourists.
LibGuides: PowerPoint Presentations: Slide Content

A guide to layout, design, best practices, and tips for creating a great PowerPoint presentation for your class.
Evaluation on Scientific Research Capability of Private HEIs based on CNKI Database

According to the published papers in CNKI database, the number of published papers, total cited frequency, cited frequency, H index and R index are used to comprehensively measure the scientific research capacity of 25 private colleges and universities which ranking first in respective province and city in 2016. There are some shortcomings at evaluating scientific research ability only by using common indexes such as number of published papers, total frequency of cited papers and frequency of cited papers. Therefore, H index and R index can make up for above shortcomings effectively. Above all, it is effective that taking quantity and quality of papers into consideration comprehensively.
Environmental Informatics and Educational Opportunities in Post Graduate level—Indian Potentialities based on International Scenario

The academic sector is changing rapidly and there are different components have been added in the academic components. The education systems including academic bodies, programs, educational institutes change different aspects in the recent past. The interdisciplinary sciences are booming internationally. Among the interdisciplinary subjects, Environmental Sciences is an important one. On the other hand, Information Science is also truly interdisciplinary in nature. This Information Science is also called as Informatics. The fusion or combination of these two subjects led the new academic body called ‘Environmental Informatics’. Environmental Informatics is very close with exiting field Geo Informatics and thus it is also called as an extension of Geo Informatics. Environmental Informatics is the solution to different environmental affairs, issues, problems, etc. Internationally, many universities have started academic programs on Environmental Informatics leading to Certificate, Diploma, Bachelors, Masters, MPhil, PhD in the subject. The present paper is an overview of Environmental Informatics including its features, functions, stakeholders emphasizing the availability of Post Graduate Programs in the field. Paper highlighted the course contents, job prospects, carrier opportunities in brief. Paper also proposed about the possible programs at Masters levels; which can be a good solution both for abroad and the Indian education system.
ARCHITECTURE AND FORMATION OF UNMANNED GROUND VEHICLE

The way to change is imaginative innovation, and the future power will be made out of a group of frameworks that systems propelled air and ground resources, both kept an eye on and unmanned, to accomplish predominance in field battle. Unmanned vehicles, both air and ground, will assume an imperative job in such a power structure. There are numerous undertakings that unmanned frameworks could achieve more promptly than people, and both non-military personnel and military networks are presently creating automated frameworks to the point that they have adequate self-sufficiency to supplant people in hazardous errands, expand human capacities for symbiotic impacts, and perform difficult and redundant obligations. Unmanned ground vehicles can possibly give a progressive jump ahead in military abilities. On the off chance that UGVs are created to their maximum capacity, their utilization will diminish losses and unfathomably increment battle adequacy. This paper depicts structure and advancement of an unmanned ground vehicle that can move urban condition.
LibGuides: Online Teaching and Learning Resource Guide For Faculty: Tools for Active Learning

This guide is intended to help faculty learn about library services and resources available during remote learning
Early Findings from a Large-Scale User Study of CHESTNUT: Validations and Implications

Towards a serendipitous recommender system with user-centred understanding, we have built CHESTNUT, an Information Theory-based Movie Recommender System, which introduced a more comprehensive understanding of the concept. Although off-line evaluations have already demonstrated that CHESTNUT has greatly improved serendipity performance, feedback on CHESTNUT from real-world users through online services are still unclear now. In order to evaluate how serendipitous results could be delivered by CHESTNUT, we consequently designed, organized and conducted large-scale user study, which involved 104 participants from 10 campuses in 3 countries. Our preliminary feedback has shown that, compared with mainstream collaborative filtering techniques, though CHESTNUT limited users’ feelings of unexpectedness to some extent, it showed significant improvement in their feelings about certain metrics being both beneficial and interesting, which substantially increased users’ experience of serendipity. Based on them, we have summarized three key takeaways, which would be beneficial for further designs and engineering of serendipitous recommender systems, from our perspective. All details of our large-scale user study could be found at https://github.com/unnc-idl-ucc/Early-Lessons-From-CHESTNUT .
Detecting Macroblocking in Images Caused by Transmission Error

Macroblocking is a type of widely observed video artifact where severe block-shaped artifacts appear in video frames. Macroblocking may be produced by heavy lossy compression but is visually most annoying when transmission error such as packet loss occurs during network video transmission. Since receivers do not have access to the pristine-quality original videos, macroblocking detection needs to be performed using no-reference (NR) approaches. This paper presents our recent research progress on detecting macroblocking caused by packet loss. We build the first of its kind macroblocking database that contains approximately 150,000 video frames with labels. Using the database, We make initial attempts of using transfer learning based deep learning techniques to tackle this challenging problem with and without using the Apache Spark big data processing framework. Our results show that it is beneficiary to use Spark. We believe that the current work will help the future development of macroblocking detection methods.
Guidance Based Improved Depth Upsampling With Better Initial Estimate

Like optical images, depth images are also gaining popularity because of its use in many applications like robot navigation, augmented reality, 3DTV and more. The commercially available depth cameras generate depth images which suffer from low spatial resolution, corrupted with noise, and missing regions. Such images need to be super-resolved, denoised and inpainted before using them to have better accuracy. Super-resolution (SR) techniques can be used to produce a high-resolution output. Since SR is an ill-posed inverse problem, a good initial estimate is always a good regulariser to find the optimal solution. We propose an initial estimate as part of our SR pipeline, esp. ×8, which will helps in quick convergence and accurate output. We propose a cascade approach by combining residual interpolation (RI) method with anisotropic total generalised variation (ATGV) method, both uses HR guidance image. The improvements are shown qualitative and quantitative with different levels of noise.
Creation of Query Expansion Based on the Subject Domain Thesaurus in the Ontology of Knowledge of the Semantic Library

Possibilities of query expansion with subject area thesaurus are discussed. The role of the context defined by thesaurus term links is both to refine the query and to increase the size of the sample on the query. Of particular importance is the process of expanding the query for scientific subject areas where the search based on special terminology. In this case, thesauruses of subject areas must be used to minimize the occurrence of information noise. The proposed approach takes into account the application of similar terminology in various subject areas. Examples of the use of thesaurus of separate sections of equations of mathematical physics and related fields demonstrate the effectiveness of the chosen approach of research. By linking to concepts of information resources of other areas of knowledge, the extension of the information query captures search fields of remote subject areas and various types of data, texts, symbolic, audio and video archives. Research shows that expanding the query based on context semantics improves the search quality of scientific publications in digital information and increases the effectiveness of scientific interdisciplinary research.
OPTIMALISASI PELAKSANAAN SISTEM MANAJEMEN KINERJA ONLINE DI LINGKUNGAN POLDA D.I.YOGYAKARTA

The purpose of this research for 1) Identify the limiting factor in the implementation of Performance Management System in Yogyakarta police neighborhood. 2) Formulate an effort to optimize the implementation of Performance Management System in Yogyakarta police neighborhood. This study uses qualitative descriptive approach, This study is a descriptive, Methods of data collection using the Field Research (Field Research), interviews, questionnaires, Library Research (Research Library). Triangulation method with the statistical approach and SWOT analysis.The results showed that Factors that lead to non-optimal implementation of the Performance Management System (SMK) Online: lack of understanding of the members of the SMK Online including the importance of conducting performance appraisals, Operator / resource persons who understand and are able to use SMK Online is very limited so it is not possible for the operator / resource can always accompany users SMK Online, impressed indifference member on performance appraisal itself, and delegated to administrative staff to make judgments through vocational Online, Providing guidance to the user a member in order to implement and use SMK Online effectively and efficiently: Leader publishes a warrant implementation of charging SMK Online,control measures routinely done through the pajabat appraiser to make an evaluation report as well as doing special training to members who have not fill in SMK Online to recognize an inhibiting factor, appoint members understand the information technology as the operator / resource persons tasked to collect information applications.Planning a vocational technical guidance Online schedule each semester. Conduct periodic training with material that is more complete and better understand the resource persons, provide a sustainable referral letter to convey the technical completion of vocational Online and obstacles that occur with open space communication and technical consulting through forum discussion group or meet directly with the speakers.Keywords: optimization, online performance management system
The Extent of Academic Spam Within Academic Medicine

Researchers and physicians often receive academic invitations that are unsolicited, from unknown senders, and do not relate to their field of study. This study aims to determine the prevalence and impact of academic spam amongst physicians in a Canadian academic center. Staff and residents were voluntarily recruited for this study through email invitation. The participants were asked daily to direct all emails considered to be academic spam to the research team for the duration of 1 week. The criteria for spam includes invitations for academic activities that are unsolicited; AND do not pertain to the recipient’s area of work/research; OR that are from illegitimate sources. These emails were accepted or rejected for the study based on this criteria. These submissions were then analyzed for type, congruence, cost, repetition, and suppressibility. A total of 549 emails not intercepted by the institutional spam filter from 15 participants were forwarded to the research team, accounting for 70 total days. The average number of spam emails received per week was 59, ranging from 1 to 30 emails per day with a daily mean of 7 to 8 emails. Out of 538 submissions deemed to be spam, 46.3% were notifications from journals, 21.8% were invitations to conferences, 7.8% were invitations to serve on an editorial board, 9.7% were newsletter alerts, 5.9% were invitations for webinars/courses, 5.4% were paid products/services, and 3.5% were other academic invitations or requests. The majority of academic spam originated from open access publications. A total of 12.8% of spam emails referenced a fee, largely related to processing costs for publications, ranging from “waived” to “GBP $650.” Only 13% of the spam collected remotely mirrored the participants’ academic interests. Data obtained from the institution’s information technology team indicated that 75% of all incoming emails are blocked, illustrating that the true burden of academic spam may be up to four-fold greater than study results show. Academic spam invitations are common and time consuming, often duplicates, and of little relevance to the recipient. The volume and regularity of academic spam may result in legitimate requests being ignored or missed.
Las obras creadas por sistemas de inteligencia artificial y su protección por el derecho de autor (AI Created Works and Their Protection Under Copyright Law)

Spanish Abstract: Los sistemas de inteligencia artificial ya permiten a las maquinas emular el comportamiento humano y, con ello, realizar actividades que hasta ahora solo eran atribuibles a seres humanos. Entre estas capacidades tipicamente humanas se encuentra la de producir resultados parentemente creativos que, en muchas ocasiones, son fruto de largos, laboriosos y complejos procesos que una o varias empresas se encargan de financiar. En logica contrapartida, y con fundamento en su necesidad de amortizar dicha inversion, se cuestionan la titularidad del derecho exclusivo sobre los resultados de tales proyectos. En el presente estudio se va a analizar la posible proteccion de los mismos por la normativa sobre Derecho de autor y la conveniencia de la misma, dejando de lado la eventual proteccion de otros elementos del proyecto por otras vias. Se vera como los resultados producidos a partir de la programacion de muchos de estos sistemas IA pueden encontrar acomodo en nuestra obra colectiva sin necesidad de hacer ninguna modificacion. Por el contrario, ante una ausencia absoluta de actividad intelectual humana nos preguntamos cual deberia ser la correcta solucion, si su proteccion por un derecho conexo o sui generis o, en definitiva, si no es necesario crear ninguna categoria especial.English Abstract: AI intelligence systems currently allow machines to emulate human behaviour and to do activities that were previously considered possible only for human beings because such skills require creativity. In fact, machines are already capable of producing results whose apparent creativity is the fruit of lengthy, laborious, complex and expensive investments by a single company or a group of them. As a result, and based on the need to amortize such investment, the exclusive right to the results of such projects is questionable. The present study aims to analyse the possible protection of AI-created works under existing copyright law without the need for modification because there is human activity behind them. In contrast, another solution should be found for AI-created works that involve no human activity. Arguments will be explored in order to justify the convenience of creating a new exclusive right or, on the contrary, whether no special protection is necessary.
Software Metrics for Computing Quality of Software Agents

Metrics are the essential building blocks for any evaluation process. They establish specific goals for improvement. Multi agent system (MAS) is complex in nature, due to the increase in complexity of developing a multi agent system, the existing metrics are less sufficient for evaluating the quality of an MAS. This is due to the fact that agent react in an unpredictable manner. Existing metrics for measuring MAS quality fails to addresses potential communication, initiative behaviour and learn-ability. In this work we have proposed additional metrics for measuring the software agent. A software agent for online shopping system is developed and the metrics values are obtained from it and the quality of the multi agent system is analysed.
Factors influencing low graduation efficiency rate in Computer Engineering degree

Universities graduate annually a certain number of professionals. Some of these professionals finish their studies in the time suggested by the University; others take a longer time to accomplish their studies because of personal, academic or institutional factors that delay them. The purpose of this research is to determine what factors influenced computer engineering students to end or delay their career studies. This study was made on an Ecuadorian university. The qualitative method was applied through surveys and semi structured interviews. University students and graduates experiences were collected to be later categorized. Results show greater influence by motivational and academic factors, while the institutional factors affect less on the graduation efficiency rate
Кликбейт как способ создания эффективного заголовка в цифровой журналистике

The article presents the results of a study of the impact of clickbait on digital journalism. The characteristics of an effective headline in an online environment are shown. Recommendations are formulated for creating headlines in digital media.