Reviewerly/exHarmony huggingface dataset:
An Optimal Approach to Anytime Task and Path Planning for Autonomous Mobile Robots in Dynamic Environments

The study of combined task and path planning has mainly focused on feasibility planning for high-dimensional, complex manipulation problems. Yet the integration of symbolic reasoning capabilities with geometric knowledge can address optimal planning in lower dimensional problems. This paper presents a dynamic, anytime task and path planning approach that enables mobile robots to autonomously adapt to changes in the environment. The planner consists of a path planning layer that adopts a multi-tree extension of the optimal Transition-based Rapidly-Exploring Random Tree algorithm to simultaneously find optimal paths for all movement actions. The corresponding path costs, derived from a cost space function, are incorporated into the symbolic representation of the problem to guide the task planning layer. Anytime planning provides continuous path quality improvements, which subsequently updates the high-level plan. Geometric knowledge of the environment is preserved to efficiently re-plan both at the task and path planning level. The planner is evaluated against existing methods for static planning problems, showing that it is able to find higher quality plans without compromising planning time. Simulated deployment of the planner in a partially-known environment demonstrates the effectiveness of the dynamic, anytime components.
Approach of Acceleration of Genetic Algorithm on CUDA platform

In this paper, the genetic algorithm is considered as a whole, as well as options for the implementation of its individual stages. The multi-threaded model is developed that contains all the necessary iterations and data parallelization elements. The possibility of multi-threaded implementation of the genetic algorithm on graphical processors of NVIDIA with the use of CUDA technology is described. Analysis of the relevance and applicability of algorithms in solving various applications are considered.
Open Access E-Books in Social Sciences: A Bibliometric Study of the DOAB

The present study makes an attempt to explore and analyze the bibliometric trends in the publication of e-books in the field of Social Sciences available through the Directory of Open Access Books (DOAB). In order to fulfill the set objectives, the relevant details of the Social Sciences e-books were collected in the month of June 2017. Later, the data were analyzed using simple quantitative techniques to reveal findings. The findings revealed that the highest number of books in the DOAB are related to Social Sciences (1954, 22.417%), contributed by the authors (72.72%, 1421) and in the English language (69.14%, 1351). The time-series analysis shows that the number of e-books is increasing very fast up to the growth rate of 400% five yearly. These books are mostly contributed by academic institutions, commercial publishers and non-profit organizations.
Revealed : This Is Palantir's Top-Secret User Manual for Cops – e-traces

Motherboard obtained a Palantir user manual through a public records request, and it gives unprecedented insight into how the company logs and tracks individuals. Palantir is one of the most…
Опыт количественного анализа результатов анкетирования студентов по вопросам качества обучения: методика, модели, перспективы

Introduction. The relevance of the article is determined by the lack of scientific substantiation of existing methods of quantitative analysis of mass student questionnaires that can lead to erroneous conclusions about the quality of educational services they receive. Authors first applied the in-house probabilistic approach to the preparation of data for mass questioning of students to develop regression and factor models that adequately reflect their subjective judgments about learning quality. Our goal was to estimate the efficiency and possibility of the practical application of the authors, approach to the analysis of student questionnaire results by means of multivariate statistics by the example of the development of the quantitative estimation model of education quality and subjective well-being of student s of Orel State Agrarian University. Materials and Methods. The suggested approach is based on the methods of parametrical multivariate statistics. The empiric basis of modeling consists of the results of questioning students of the 2nd-4th years of learning. The analytic software SPSS Base was used. Results. At the example of the development of correlation-regressive and factor models of the subjective well-being of the students, we proved the efficiency of the suggested approach to the quantitative modeling of questionnaire results by means of multivariate statistical methods. It is shown that all the obtained correlation-regression models have high statistical characteristics of quality and adequately reflect the simulated phenomena. Of particular interest is the model structure of factors of subjective well-being of students, reflecting the process of their professional and cultural development and adaptation to the current socio-political environment. Discussion and Conclusion. The completed study expanded the understanding of possibilities of quantitative analysis of the results of mass student questioning by simulating various aspects of their subjective wellbeing.
A Study on the CQI System for the Quality Management of Competency-Based Education

본 연구에서는 역량기반 교육의 질 관리의 일환으로 D대학에서 실행되고 있는 교과목 CQI 시스템의 체계와 구성요소, 평가기준 및 활용에 대해 살펴보았다. D대학에서는 역량기반 교육계획-교육과정-교육결과의 질 관리 체계를 통해 전반적인 개선점을 도출하고, 이를 차기 강의에 반영할 수 있도록 CQI 환류시스템을 구성하였다. 또한, ‘개선실적 중심’의 평가기준을 마련함으로써 교육의 질 관리를 강화하였으며, 평가의 결과는 우수교원 시상 및 교원업적평가에 반영함으로써 교원들의 참여를 제고하였다. 이러한 결과에 비추어 대학교육의 질 관리를 위한 CQI 시스템 구축 및 운영에 있어 제언을 한다면, 먼저 교수자의 자기성찰과 학생들의 강의평가 결과를 토대로 지속적인 강의의 개선이 이루어지도록 순환적인 체계로 구성되어야 할 것이다. 다음으로 각 대학의 실정에 적합한 CQI를 개발하도록 노력하여야 한다. 이에 교과교육 및 교육과정이 실제 수업에서 어떻게 계획, 실행되고 있는지를 분석하고 수업실행결과인 학습자의 학습성과 평가결과 등이 포함된 종합적인 분석결과를 바탕으로 다시 교과교육과 교육과정 개선에 환류되어 교수자의 교수역량 및 학습자의 학습능력을 지속적으로 향상시킬 수 있는 접근방안을 찾도록 한다. 이상의 결과는 대학교육의 질 관리를 위한 CQI 시스템을 개발하여 적용하고자 할 때 CQI 구성항목 및 평가기준 등의 수립에 있어 실제적인 도움을 줄 수 있을 것이다. 그러나 본 연구의 대학사례가 한정적이므로 추후 다양한 사례의 연구가 이루어 질 필요가 있다.In this study, we examined the system, components, evaluation criteria, and application of the Continuous Quality Improvement(CQI) system in a particular subject, which was carried out at D university as part of the quality management of competency-based education. D University has developed a CQI feedback system that can improve the quality of the educational plan, competency-based curriculum, and educational outcomes; the results of the feedback could be reflected in the next lecture. In addition, to improve the quality of education through evaluation criteria based on “improvement performance”, the results of the evaluation were reflected in the results of the best teachers professors and teacher’s achievement evaluations. The results of this study can be useful for establishing CQI configuration items and evaluation criteria when developing and applying CQI for quality management of university education. However, As this study was limited to retain additional case studies need to be conducted.
Image Tampering Detection Techniques: A Statistical Review

Copyrights and digital signatures have boosted a wide variety of research areas in image security domain.Even though these systems are very secure, but there exists a gap between copyrighting an image, and an attacker actually using the image for their own purposes.Usually attackers will try to remove or alter with the original signatures present in the image, and thereby there is a need of forgery detection algorithms in order to track the validity of the image under test.In this paper we provide a statistical review of various algorithms used to detect forgery of images, and focus on algorithms which have good accuracy of forgery detection upon comparison
Research on Road Capacity Improvement Based on Real-Time Road Condition Information and Cloud Model

Against the background of increasing urban traffic congestion, this paper aims to alleviate urban regional road congestion. Taking Beijing’s road network as the research object, the real-time information of the road network was downloaded and extracted by using the Baidu road condition extraction program. The image representation index of traffic congestion is quantified and identified through the geographical information system. At the same time, the causes of traffic congestion are analyzed from multiple perspectives. The index system for improving the capacity is constructed by combining the index system of the road network structure, traffic planning and design, traffic operation organization and management, etc. The cloud model is applied to build a comprehensive model to enhance capacity, to analyze and find out the main indexes to improve capacity of regional road network, and to provide solutions for traffic congestion alleviation.
Beef Up Flow Graphs with Async Nodes

Back in 2005, Herb Sutter wrote “The free lunch is over” paper to warn us about the dawn of the multicore era and its implications on software development. In the multicore era, developers who care about performance can no longer sit back and lazily wait for the next processor generation in order to gleefully see their apps running faster. Those days are long gone. Herb’s message was that developers who care about fully exploiting modern processors would have to embrace parallelism. At this point of the book, we certainly know this, so what? Well, we believe that today “Lunch is getting much too expensive.” Let’s elaborate on this.
Active-Learning Teaching and Learning by Using the MARCO Model in the Course of Cloud Computing

The objectives of this research are 1) to study the suitable model for teaching and learning management by using Active Learning and the MARCO Model format in the cloud processing course, 2) to develop the learning achievement of the degree students Bachelor by using the Active Learning teaching and learning model in the cloud computing course Cloud computing, and 4) to study the opinions of teachers on Active Learning teaching and learning using the MARCO Model format in cloud computing The research proceeded from the study of the pattern and learning documents for learning management according to the patterns created. Then, apply the form and documents created to the learners on 2 nd year undergraduate degree, Yala Vocational College Enrolled in the second semester of the academic year 2018, 10 people. Tools used in the operation consisted of Quality evaluation form of the test form, satisfaction assessment form and evaluation form Data analysis by using statistics, percentage, mean, standard deviation and t-test The results of the study showed that 1) the experts agreed with the management of Active Learning by using the MARCO Model format in the cloud processing course at a high level ( = 4.21). 2) Comparison between scores before and after the study was found the latter test scores. The learning of the learners is 6.61 higher than before the study. The t-test is 5.88. 3) The satisfaction of the learners towards the teaching and learning according to the developed model is at a high level ( = 4.03), and 4) the opinions of teachers on teaching and learning management according to the developed model were at a high level ( = 4.06).
Flow Graphs on Steroids: OpenCL Nodes

Does the async_node leave you yearning for more? If so, this is your chapter. Here, we will cover a high-level Flow Graph class, the opencl_node, that strives to hide the hardware details and programing nuances of OpenCL capable devices. Why OpenCL? Well, there are many reasons and to name a few: OpenCL is an open standard contributed to by members of a large consortium, it is designed to be a platform-independent API, and it aims to nimbly evolve to meet newer requirements. For instance, OpenCL has been an extension of C (not C++), but the latest OpenCL 2.2 version adds support for a subset of C++14 including classes, lambda expressions, templates, and so on.
СИСТЕМА ПЕРСОНАЖЕЙ ИСТОРИЧЕСКИХ ХУДОЖЕСТВЕННЫХ ПРОИЗВЕДЕНИЙ И.М. ЕФИМОВА КАК РЕЦЕПЦИЯ ИСТОРИКО-ФИЛОСОФСКОЙ КОНЦЕПЦИИ ПИСАТЕЛЯ

I.M. Efimov is a Soviet and Russian abroad writer. His historical works have profound philosophical content. This philosophical content is revealed when we compare his historiosophical treatises about the character and patterns of historical development and historical novels. Philosophical ideas of the writer appear on different poetic levels of the work, and above all - in the plot and character system. Historical novels and historical-philosophical treatises constitute a single historiosophical system and relate to each other as theoretical and empirical material, therefore they cannot be considered one without the other. However, many critics analyze the writer's historical works in isolation from his philosophical concept, which makes such an analysis incomplete and sometimes erroneous. In our study, an attempt was made to trace the connection between the individual characters of the artistic historical works of I. Efimov with his philosophical concept.
AN ANALYTICAL STUDY ON THE AWARENESS OF PARENTS ABOUT CYBERCRIMES AGAINST CHILDREN

The internet in India is growing rapidly. It has given rise to new opportunity in every field like entertainment, business, sports, education etc. The internet has both advantage and disadvantage and one of the most disadvantage is cybercrime. We can say, cybercrime is any illegal activity, which is committed using a computer network especially the internet. At least one cybercrime was reported every 10 minutes in India in the first six months of 2017. That is higher than a crime every 12 minutes in 2016. According to the Indian Computer Emergency Response Team (CERT-In). In India educated person commits most of cybercrime cases. Therefore, it is required the deep knowledge and awareness about the cybercrime. In addition, in India most of the cases found where crimes are committed due to lack of knowledge or by ignorance.
Early Programming Education Based on Concept Building

Context: The main context of this study is the shift of programming education from professional development to general education. Problem: The article deals with methods, environments and …
Integrating with Process Cloud Service

Visual Builder Cloud Service is only one of many cloud services that Oracle offers. Another handy service is Process Cloud Service (PCS), which allows you to manage long-running processes that involve multiple steps and possibly multiple different people. If you have the Oracle Integration Cloud product, you have both VBCS and PCS as shown in Figure 13-1.
TBB and the Parallel Algorithms of the C++ Standard Template Library

To use the Threading Building Blocks (TBB) library effectively, it is important to understand how it supports and augments the C++ standard. We discuss three aspects of TBB’s relationship with standard C++ in this chapter:
Research on computer control method of marine environmental monitoring data quality

Our country has a vast coastal area, most of which are economically developed areas. At present, there are very large environmental pollution problems in these areas. Relevant state departments have paid attention to these problems. They have monitored the actual situation of marine ecological environment and can understand the sea in real time. The ecological environment and timely warning of problems. In this paper, the related plans of large data and virtual platform are used to study the monitoring of marine environmental data.
GA-Based Hybrid Approach to Solve Fuzzy Multi-objective Optimization Model of Multi-application-Based COTS Selection Problem

Due to the quick growth of the modular software development, the commercial off-the-shelf (COTS) selection model of optimization technique becomes more popular in a component-based software system (CBSS). In order to realize the benefits of the COTS product, it is necessary to select the right products for various software systems. This paper proposed a genetic algorithm (GA)-based hybrid approach with fuzzy exponential membership function for best fit of COTS components. In this proposed approach, decision-maker (DM) is required to specify the different aspiration levels as per his/her preference to obtain an efficient allocation plan with different shape parameters in the exponential membership function. A real-world scenario of developing two financial applications for two small-scale industries is provided to represent the importance of the proposed algorithm with data set from a realistic situation.
A Study on the Comparison of Performances and the Verification of Relationship between Influence Functions on t Statistic and Coefficient of Variation in Big data

영향함수는 Hampel(1974)에 의해 처음 소개된 대용량 데이터에서 이상치 판별을 위한 방법 중 하나로, 본 연구논문에서는 통계량별 영향함수의 성능의 차이가 있는지 알아보고, 비교해보고자 하였다. 그 방법으로 많은 통계량 가운데 t통계량과 변동계수를 대상으로 영향함수의 절대비교, 상대오차 개념을 적용한 상대차이, 벡터로 정의한 영향함수에 상대오차 개념을 적용한 벡터공간에서의 상대차이를 정의하여 영향함수 성능을 비교하였다. 또한 서로 역수 관계에 있는 t통계량과 변동계수가 경험적 영향함수에서 공통된 값을 가진다는 점을 착안해 두 통계량의 경험적 영향함수 간의 관계를 식으로 유도 및 규명하였다. 그 결과, 상대차이가 더 작게 나타난 변동계수의 영향함수가 t통계량의 영향함수보다 성능이 더 우수하다고 판단되어지며, t통계량의 영향함수를 사용할 때 좀 더 주의를 요한다는 점을 시사했고, t통계량의 경험적 영향함수는 표본평균의 제곱을 표본분산으로 나눈 값을 포함한 상수와 변동계수의 경험적 영향함수의 곱과 같았으며, 변동계수의 경험적 영향함수는 그 역수인 표본분산을 표본평균의 제곱으로 나눈 값을 포함하는 상수와 t통계량의 경험적 영향함수의 곱과 같다는 관계를 증명하였다.Data involving outlier should be carefully analyzed because it can lead to distorted results. But it is not easy to analyze those outliers because big data usually has a characteristic of large scale and short cycle. In this paper, we validate and compare the performances of influence functions on t statistic and coefficient of variation after defining relative difference using influence function that can be used to find outliers in big data. We also induce the empirical influence function relationship between on t statistic and on coefficient of variation from the formula and check through simulation. As a result, the performance (prediction) of influence function on coefficient of variation is better than that on t statistic. And they also have a multiplicative relationship. Empirical influence function on t statistic equates to &#57453;&#57591;&#57397; &#57414;&#57453;&#57596; &#57397;&#57436;&#57453;&#57586; multiplied by empirical influence function on coefficient of variation. And empirical influence function on coefficient of variation is the reciprocal of &#57453;&#57591; &#57397; &#57414;&#57453;&#57596;&#57397;&#57436;&#57453;&#57586; times empirical influence function on t statistic.
Frequency variations in impulse excitations as a way of entanglement increase in the two-mode Bose–Hubbard model

A system of two coupled quantum oscillators in the Bose&#x2013;Hubbard model is discussed as a source of maximally entangled states obtained by ultrashort coherent pulses. Both oscillators are externally driven, and by appropriate relations between the frequencies, we can manipulate the degree of entanglement in bosonic modes. Created entanglement between two subsystems can be controlled and depends strictly on the number of pulses applied to one of the coupler&#x2019;s parts during a unitary evolution of the other. It is shown that the creation of maximally entangled states is possible, especially for cases when applying other types of excitations (continuous driving or simultaneous excitations) leads to a very weak entanglement of the coupled bosonic system.
Rethink Global Reward Game and Credit Assignment in Multi-agent Reinforcement Learning.

Cooperative game is a critical research area in the multi-agent reinforcement learning (MARL). Global reward game is a subclass of cooperative games, where all agents aim to maximize the global reward. Credit assignment is an important problem studied in the global reward game. Most of previous works stood by the view of non-cooperative-game theoretical framework with the shared reward approach, i.e., each agent being assigned a shared global reward directly. This, however, may give each agent an inaccurate reward on its contribution to the group, which could cause inefficient learning. To deal with this problem, we i) introduce a cooperative-game theoretical framework called extended convex game (ECG) that is a superset of global reward game, and ii) propose a local reward approach called Shapley Q-value. Shapley Q-value is able to distribute the global reward, reflecting each agent's own contribution in contrast to the shared reward approach. Moreover, we derive an MARL algorithm called Shapley Q-value deep deterministic policy gradient (SQDDPG), using Shapley Q-value as the critic for each agent. We evaluate SQDDPG on Cooperative Navigation, Prey-and-Predator and Traffic Junction, compared with the state-of-the-art algorithms, e.g., MADDPG, COMA, Independent DDPG and Independent A2C. In the experiments, SQDDPG shows a significant improvement on the convergence rate. Finally, we plot Shapley Q-value and validate the property of fair credit assignment.
Short-term and Fast Tracking Algorithm of Vehicle with Distance Information

Abstract To solve the contradiction between speed and performance in vehicle tracking, this paper designs a short-term and fast tracking algorithm which integrates vehicle distance information. Millimeter wave radar is used to get accurate range information to optimize the scale of vehicle, so as to achieve fast and accurate vehicle tracking. The effectiveness of the algorithm in scale optimization is proved by experiments.
Convex-split and hypothesis testing approach to one-shot quantum measurement compression and randomness extraction

This paper concerns the problem of quantum measurement compression with side information in the one-shot setting with shared-randomness. In this problem, Alice shares a pure quantum state with Bob and the reference system. She performs a measurement on her registers and wishes to communicate the outcome to Bob using shared-randomness and classical communication. The outcome that Bob receives must be correctly correlated with the reference system and his own registers. Our goal is to concurrently minimize the classical communication and shared-randomness cost. The suggested protocol presented in this paper is based on convex-split and position based decoding . The communication is upper bounded in terms of smooth max and hypothesis testing relative entropies. A second protocol addresses the task of strong randomness extraction in the presence of quantum side information. The protocol provides an error guarantee in terms of relative entropy (as opposed to trace distance) and extracts close to the optimal number of uniform bits. As an application, we provide a new achievability result for the task of quantum measurement compression without feedback, in which Alice does not need to know the outcome of the measurement. The result achieves the optimal number of bits communicated and the required number of bits of shared-randomness, for the same task in the asymptotic and i.i.d. setting.