Reviewerly/exHarmony huggingface dataset:
미래전 대비 효율적인 정비창 아웃소싱 방안 연구

The future war on the Korean Peninsula will be led by North Korea’s asymmetrical power and advanced science and technology of the Fourth Industrial Revolution. Recent population cliffs and national defense reforms have led to a reduction in troops and service. In addition, As troops are reorganized around corps operations, it is urgent to establish effective field maintenance support system, and weapon systems applying advanced science and technology of the 4th Industrial Revolution are being deployed. First, this study reinforces the field maintenance support system, which is organized mainly for the short-service mechanics and beginners. Second, combat troops are devoted to combat missions, and the non-combat sector “maintenance depot” has suggested ways to be efficient through outsourcing. For the research, the maintenance support system of developed countries and military groups was analyzed, and some outsourcing case studies were presented to suggest the step-by-step efficiency of “maintenance depot”. The step-by-step efficiency systems proposed in this paper can be usefully used in privatization of maintenance depot.
Multiple Sclerosis Classification and Overview

Multiple Sclerosis is briefly called MS. It’s an disease during which the myelin sheaths of the nerve cells are damaged within the brain and medulla spinalis (spinal cord). The body mistakenly attacks the protective material round the neurons (axons) of the brain and therefore the medulla spinalis . This means that the system which usually works against infections, confuses and attack to internal tissues with foreign objects like bacteria. In the MS, the immune system attacks to myelin sheets over nerve fibers. The multiple sclerosis can damage the myelin and eliminate it from the nerve field partly or completely and makes wounds that are called lesion, plaque or sclerosis. Disruption of the messages transfer in the direction of the nervous system occur due to Damage to myelin. The message may be slow or incorrect and it also may be transmitted from one strand to another or rejected altogether. This damage can interfere with the parts of the nervous system ability that are liable for communication, leading to high levels of physical symptoms.
Title: Human and Multi-Agent collaboration in a human-AI teaming framework

The main focus of this talk is human-AI teaming, specifically the mode of human-AI where humans and AIRL-based agents accomplish tasks together in a multi-agent system. Therefore, the objective cannot be achieved by just a lone human or agent, and the responsibilities in the environment are partitioned and/or shared between humans and agents. Collaborative multi-agent reinforcement learning (MARL) as a specific category of reinforcement learning (RL) provides effective results with agents learning from their observations, received rewards, and internal interactions between agents. However, centralized learning methods with a joint global policy in a highly dynamic environment present unique challenges in dealing with large amounts of information. This study proposes two innovative solutions to address the complexities of a collaboration between human and multiple RL-based agents (referred to hereafter as “Human-MARL teaming”) where the goals pursued cannot be achieved by a human alone or agents alone. The first innovation is the introduction of a new open-source MARL framework, called COGMENT, to unite humans and agents in real-time complex dynamic systems and efficiently leverage their interactions as a source of learning. The second innovation is our proposal of a new hybrid MARL method, named Dueling Double Deep Q learning MADDPG (D3-MADDPG) to allow agents to train decentralized policies parallelly in a joint centralized policy. This method can solve the overestimation problem in Q-learning methods of value-based MARL. We demonstrate these innovations by using a designed real-time environment with unmanned aerial vehicles driven by RL agents, collaborating with a human to fight fires. The team of RL agent drones autonomously looks for fire seats and the human pilot douses the fires. The results of this study show that the proposed collaborative paradigm and the open-source framework leads to significant reductions in both human effort and exploration costs. Also, the results of the proposed hybrid MARL method shows that it effectively improves the learning process to achieve more reliable Q-values for each action, by decoupling the estimation between state value and advantage value.
Temporal explanations help resolve temporal conflicts

Author(s): Kelly, Laura J; Khemlani, Sangeet | Abstract: People can explain phenomena by appealing to temporal relations, e.g., you might explain a colleague’s absence at a meeting by inferring that their prior meeting did not end on time. Cognitive scientists have yet to investigate temporal explanations, and explanatory reasoning research tends to focus on how people assess causal explanations; it shows that reasoners often generate causal explanations to resolve conflicts. We posit that temporal explanations help reasoners resolve temporal conflicts, and describe three experiments that test the hypothesis. Experiment 1 provided participants with temporal information that was consistent or inconsistent and elicited their inferences about what followed. Participants spontaneously provided temporal explanations to resolve inconsistencies, and many of them also provided more conservative refutations. In Experiments 2 and 3, participants evaluated explanations and refutations in light of conflicting information. The studies showed that participants spontaneously generate temporal explanations, and in certain cases, they prefer temporal explanations when a more conservative refutation was available. The research is the first to examine patterns in temporal explanatory reasoning.
A Review Paper on Internet of Things (IOT)

In this day and age of advance innovation, we are running over different new standards of innovation. IOT is one of the most discussed among them in the business. Web of Things is affecting our way of life and is getting quickest developing innovation. IOT give framework to ongoing items and furthermore help in keeping track about these articles. In IOT gadgets are associated keenly so they can share information, assets with different machines. IOT utilizes different sorts of sensors implanted in different gadgets which transmit information. These sensors share information utilizing IOT regular stage. These stages gathers information from different sources and afterward further investigation are performed on information and fundamental data is extricated at long last the outcome is shared. This examination article involves significance of IOT, attributes, fundamental necessities of IOT and its applications. The principle objective of this paper is to give review of the advancement and use of Internet of Things (IOT), its models and advantages just as hindrances.
IoT based Weather Monitoring System using Sun Tracking Solar Panel

ABSTRACT Mostly, life on earth is supported by the ultimate source of energy i.e the sun, so nowadays it is becoming necessary to use the maximum amount of energy from solar panels. In that also, most of the solar power system is fixed -mounted solar panels. This results in low efficiency of power generation. Thus, the area of solar panels has to increase in order to meet the electricity demand for the equipment. In this context, they are specially designed sun trackers (a device for efficiency improvement), an all-weather automatic solar tracking method was proposed, which combined the photoelectric detection and the solar trajectory tracking made together. The method made use of a sunlight intensity sensor; in order to estimate the weather conditions firstly. Then it utilized a solar position sensor and a solar trajectory algorithm to determine the change in solar position. This method could effectively track the sun stability and accurately with the weather. Keywords: Solar Panel, Arduino, NodeMCU, FC37, DHT11, OLED Cite this Article: Anurag Singh, Sagarika Kundu, Nishant Shukla, Sanjay Gupta IoT based Weather Monitoring System using Sun Tracking Solar Panel International Journal of VLSI Design and Technology. 2019; 1 (1) 12–17p
병력 결정요인 분석 및 한국군 적정병력 산출에 관한 연구

The theme of this paper is to derive determinants that affect the size of Korean troops and to present the appropriate size of Korean troops by conducting multiple regression analysis with the derived determinants.The South Korean military is pushing for defense reform in line with demands for military reform due to changes in the military’s internal and external environment. One of the main objectives of defence reform is to reduce the number of troops. However, the process of logic and persuasion at the department of defense level of 500,000 troops reduction targets is somewhat lacking. Therefore, the purpose of this study is to present the appropriate size of Korean troops based on empirical analysis of the appropriate size of Korean troops. In order to study this, the determinants were derived from previous studies on the size of Korean troops and from studies on changes in the size of Korean troops after the Korean War. Determinants derived from literature studies have been shown by population, territory, GDP, military power index and security threats to security. According to multiple regression analysis based on the above determinants, the appropriate number of troops stood at 22.7 million to 32.7 million.
Challenges of Data Protection and Security in Cloud Computing

Cloud Computing is online standard that permits a pool of pooled assets to be gotten to effectively on request and pay more only as costs arise. It alludes to the hidden foundation of a developing assistance arrangement modular that, joined with an on – request provisioning framework dependent on a compensation for each utilization plan of action, enjoys the benefit of limiting expense by sharing figuring and capacity assets. Distributed computing offers a nearly ease, adaptable, designation free system for information preparing of clients. There are numerous advantages and few security challenges. In a multi-inhabitant world, this paper talks about the various information assurance worries in distributed computing and recommends way to deal with tackle security issues and investigates information insurance. It's an examination about cloud information and part of security identified with it. To get ideal information security by decreasing dangers and dangers, the paper would really expound on strategies and methods for information security utilized across the globe. The accessibility of cloud information is worthwhile to various applications, neverthless has dangers through openness of data for applications that could beforehand hold wellbeing weaknesses in them. It lessens the over top of the sweeping structure marinating association, yet it moreover has related dangers and risks that fuse protection, data spillage, unreliable interface and resource sharing and inside attacks. It intends to assessments and survey the most capable data protection security frameworks in dispersed figuring. In the cloud, the information is exchanged among the laborer and customer. Cloud security is the current trade in the IT world. There is parcel of strategies for information insurance execution, the one which has been evaluated in this paper is Data Security Using Encryption. This examination paper helps in getting the information without affecting the system layers and shielding the information from unapproved fragments into the specialist, the information is gotten in laborer thinking about clients' decision of wellbeing method so information is given high secure need. Dispersed registering has been picked as the cutting edge advancement showing of IT Enterprise.
Multiversionality: Considering multiple possibilities in the processing of narrative

Author(s): Hiskes, Benjamin; Breithaupt, Fritz; Evola, Samuel; Hicks, Milo M; Kincaid, Cameron | Abstract: We propose a conceptual framework of multiversional narrative processing. Multiversional narrative processing is the consideration of multiple possible event sequences for an incomplete narrative during reception. It occurs naturally and is experienced in a wide range of cases, such as suspense, surprise, counterfactuals, and detective stories. Receiving a narrative, we propose, is characterized by the spontaneous creation of competing interpretive versions of the narrative that are then used to create predictions and projections for the narrative’s future. These predictions serve as a mechanism for integrating incoming information and updating the narrative model through prediction error, without completely eliminating past versions. We define this process as having three aspects: (1) constrained expectations, (2) preference projection, and (3) causal extrapolation. Constrained expectations and preference projections respectively create the bounds and subjective desires for a narrative’s progress, while causal extrapolation builds, reworks, and maintains the potential models for understanding the narrative.
Variational Quantum Linear Solver with Dynamic Ansatz

Variational quantum algorithms have found success in the NISQ era owing to their hybrid quantum-classical approach which mitigate the problems of noise in quantum computers. In our study we introduce the dynamic ansatz in the Variational Quantum Linear Solver for a system of linear algebraic equations. In this improved algorithm, the number of layers in the hardware efficient ansatz circuit is evolved, starting from a small and gradually increasing until convergence of the solution is reached. We demonstrate the algorithm advantage in comparison to the standard, static ansatz by utilizing fewer quantum resources and with a smaller quantum depth on average, in presence and absence of quantum noise, and in cases when the number of qubits or condition number of the system matrix are increased. The numbers of iterations and layers can be altered by a switching parameter. The performance of the algorithm in using quantum resources is quantified by a newly defined metric.
Plagiarism

The question of plagiarism in forensic contexts has attracted much attention worldwide in recent years, especially as a result of high-profile cases involving politicians and famous journalists. The perception that plagiarism is a widespread phenomenon led to the development of plagiarism detection software, which operates by establishing a comparison between a suspect text and other previously produced texts. However, at most, so-called plagiarism detection software is able to detect textual overlap (i.e. similar or identical strings of text), which is not necessarily plagiarism. To evade computational systems, plagiarists have devised sophisticated text manipulation techniques that are easily missed by automatic systems. This chapter discusses how, although computational systems can assist the forensic linguist in the detection procedure, an appropriate assessment of plagiarism requires a thorough forensic linguistic analysis. Examples from real academic and forensic cases are presented to describe and explain the strategies most commonly used by plagiarists, and subsequently show how such strategies can be identified and justified linguistically, and how the linguistic analysis can prove or disprove the hypothesis that the lifting is inadvertent. The chapter concludes with a discussion of contract cheating and how the problem of essay purchase can be investigated from a forensic linguistic perspective.
세종학당 여행한국어 개발을 위한 요구분석 및 교육과정 설계

‘The King Sejong Institute that teaches Korean abroad, needs to develop an education course that can meet the students’ diverse needs, considering the purpose of learning Korean and the time available for learning. Development of a Korean language curriculum for learners aimed at traveling to Korea can encourage learners’ interest in learning Korean through diversification of the Korean curriculum. In addition, this curriculum is meaningful in that it can expand the demand for Korean language learning for the practical purpose. Although the travel Korean textbooks were published by individual researchers or publishers, those developed by Korean language education institutions or developed by professional Korean language educators were difficult to find. Therefore, the King Sejong Institute wants to develop a travel Korean curriculum and materials as part of a special education program. A survey was conducted on learners and teachers to develop the curriculum. The survey of teachers’ demands consisted largely of the demand for education courses and textbooks and the demand for travel programs in Korea. The survey for learners was conducted separately according to the existence or absence of travel experiences in Korea and consisted of the demand for education courses and textbooks, the survey of travel demand in Korea, and the survey of travel experiences in Korea. Based on this, the development of the travel Korean curriculum will contribute to meeting the needs of learners and expanding the externalities of learning Korean.
AFFECTIVE AND COGNITIVE ISSUES OF ENHANCING GRAMMATICAL COMPETENCE

This study presents the framework of mastering English grammar within a University curriculum. Fostering learners’ grammatical competence is identified as a current target of grammar acquisition. The idea is emphasized that to achieve a target set the teacher has to take into account multiple factors, which might facilitate grammatical awareness of students. Specifically, enhancing grammatical competence can be efficacious provided that the teacher considers cognitive profiles of students and reckons in such affective determinants as individual mental and psychological differences of learners, their brain capacity, learning strategies, epistemic and cognitive styles, sensory channels of perceiving input, and ways of processing information.
해외 단기 실습 사전 훈련을 통한 한국어 예비 교원의 성장 연구 - 사이버대학 학생의 훈련 일지 분석을 중심으로 -

Journal of the International Network for Korean Language and Culture 17-2, 47-74. The objective of this study was to explore the growth of pre-service Korean teachers, that is, the expectations and concerns of teachers participating in short-term teaching practice abroad programs. In addition, it examined their development during a pre-training session provided prior to participating in programs abroad. To achieve these goals, an analysis of the teachers’ diaries was conducted, with the following results. First, the teachers tended to have more difficulty creating lesson plans for culture classes than for language classes. At the beginning of the session, especially, they felt vague apprehension and were overwhelmed by the fact that they had never been in the education field. However, with satisfactory progress in the session, they discovered for themselves the important aspects of writing lesson plans. Second, they recognized that the design of culture classes should lead students to interact with one another. Moreover, they became aware that language classes should be designed based on accurate knowledge of grammar patterns, their order, and differences among similar forms. And then, they came to think about how to deliver such notions to their students in class.(Cyber Hankuk University of Foreign Studies)
Incremental Schema Discovery at Scale for RDF Data

The lack of a descriptive schema for an RDF dataset has motivated several research works addressing the problem of automatic schema discovery. The goal of these approaches is to generate a structural schema of a given RDF dataset from its instances. However, as new instances are added, the generated schema may become inconsistent with the dataset.
Bio-Inspired Photonics and Microwave Photonics for Dynamic and Smart RF Systems

Bio-inspired and microwave photonics offer dynamic, natural, and effective solutions to tackle critical challenges in emerging RF systems. This paper discusses several small-scale bio- inspired and dynamic microwave photonic technologies to facilitate the advancement of RF systems.
Encryption without centralization: distributing DNS queries across recursive resolvers

Emerging protocols such as DNS-over-HTTPS (DoH) and DNS-over-TLS (DoT) improve the privacy of DNS queries and responses. While this trend towards encryption is positive, deployment of these protocols has in some cases resulted in further centralization of the DNS, which introduces new challenges. In particular, centralization has consequences for performance, privacy, and availability; a potentially greater concern is that it has become more difficult to control the choice of DNS recursive resolver, particularly for IoT devices. Ultimately, the best strategy for selecting among one or more recursive resolvers may ultimately depend on circumstance, user, and even device. Accordingly, the DNS architecture must permit flexibility in allowing users, devices, and applications to specify these strategies. Towards this goal of increased de-centralization and improved flexibility, this paper presents the design and implementation of a refactored DNS resolver architecture that allows for de-centralized name resolution, preserving the benefits of encrypted DNS while satisfying other desirable properties, including performance and privacy.
PERANCANGAN APLIKASI PENGENALAN KENDARAAN BERMOTOR BERBASIS AUGMENTED REALITY DENGAN METODE MARKERLESS TRACKING

Augmented Reality is a real illustration depicted through a virtual world explaining the actual situation displayed in the form of video and 3D animation. The advanced features of the smartphone allow using the android operating system. Augmented Reality is relevant as a medium of information, such as information about beat motor spareparts, knowledge about the function of each sparepart and information about the characteristics of damage experienced by motorcycle spareparts. Augmented Reality work system detects objects that have been captured first, this is called a marker. Markerless is an image or involving an object that is detected directly for container that spawns 3D objects in the application. The application design requires Unity software for making AR applications and processing script programs, Vuforia is a database for storing markers. CorelDraw is a graphic design modeling software that is used to make markers. Blender in making 3D objects. Augmented Reality application that is applied to smartphone media using an Android-based operating system. The use of AR applications is expected to be an innovative communication from the workshop to consumers. Consumers also independently analyze and determine what spare parts are being damaged.