Reviewerly/exHarmony huggingface dataset:
Coaching and Facilitation as Tools to Increase Group Effectiveness in Managing Project Teams

The article considers coaching and facilitation as tools for improvement of the group effectiveness in project team management. Content analysis of the «coaching» and «facilitation» definitions was presented. The aim of the study is revelation of the effectiveness of coaching in cooperation coordination and project team management. For that reason the author considers coaching as an effective tool for organization of team cooperation, making it possible to reveal and implement the potential of each member of the project and achieve synergetic effect for attaining objectives of the project. The article presents types of coaching, as well as advantages and disadvantages of coaching. Agile coaching was considered as the most effective tool for organization of team cooperation and project team management in implementing project activities on the basis of the flexible project management methodology. The article considers facilitation as the technology which improves team effectiveness, involvement and interest of the participants, as well as it unlocks their potential. Stages and methods of facilitation were presented. Advantages and disadvantages of facilitation were considered.
End-to-End Learning based on RGB-D Images for Mobile Robot Motion Planning

For mobile robots, collision avoidance is an essential capability. For this issue, model-based motion planner have been proposed so far. A robot based on these motion planners is allowed to exhibit continuous colision avoidance behavior. On the other hand, we have noticed that a mobile robot is able to avoid collisions by switching discrete behaviors, such as go straight, turn right, and turn left, throught real robot experiments via human operators. In addition, the operators are able to change the robot behavior depending on the preceding obstacle, i.e static or dynamic. In this paper, therefore, we propose an end-to-end motion planner based on the human operation. Given a stereo camera sensor, convolutional neural network, CNN, is used for a classification problem. For the network training, the input image composed of RGB-D and the annotated discrete behavior are used. In the experiments, we show that the robot is thus enabled to determine discrete control output depending on obstacles from sensor input.
Behavioral Cybersecurity: Investigating the influence of Patching Vulnerabilities in Markov Security Games via Cognitive Modeling

Current research in cyber-security is not focused on human decision-making.The primary objective of this study is to address this gap and investigate how cognitive processes proposed by Instance-based Learning Theory (IBLT) like reliance on recency and frequency, attention to opponent's actions, and cognitive noise are influenced by the effectiveness of vulnerability patching.Data involving participants performing as hackers and analysts was collected in a lab-based experiment in two patching conditions: effective (N = 50) and less-effective (N = 50).In effective (less-effective) patching, computer systems were in a non-vulnerable state (i.e., immune to cyber-attacks) 90% (50%) of the time after patching.An IBL model accounted for human decisions and revealed low (high) reliance on recency and frequency, attention to opponent's actions, and cognitive noise for hacker (analyst) in effective patching.Whereas, it revealed opposite results for less-effective patching.We highlight the implications of our findings for cyber decisionmaking.
Special issue on intelligent interaction design

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The statistical analysis of random-valued impulse noise detection techniques based on the local image characteristic: ROAD, ROLD and RORD

&lt;p&gt;Advances in local image statistical analysis have made possible the random-valued impulse noise detection but the current noise detections based on ROAD (Rank-Ordered Absolute Differences), ROLD (Rank-Ordered Logarithmic Differences) and RORD (Rank-Ordered Relative Differences), which are the most three effective and practical detections using the local image statistical characteristic, operates effectively on different noise density and different image statistical characteristic. To address these issues, this paper proposes the comparative analysis on the noise detections based on ROAD, ROLD and RORD. Therefore, the first contribution is the comparative statistical distribution of these three noise detections. By comprehensive experiment at each noise density, the optimized detected threshold is later determined from four benchmark data: Lena, Girl, Pepper and Airplane. Moreover, the maximum detection accuracy for each case is comparatively demonstrated by using the noise detections based on ROAD, ROLD and RORD with the optimized detected threshold.&lt;/p&gt;
Effect of Tracking System Configurations to Beam Aperture Irradiance of Parabolic Dish in Bandung, Indonesia

The collector surface of the parabolic dish solar power plant can be installed in some configurations, such as fixed (non-tracking), single axis, and two-axis tracking system. This paper presents the effect of tracking system configurations to beam aperture irradiance calculation result by comparing fixed (non-tracking) and two-axis tracking system. Both configurations were designed by measuring beam normal irradiance and calculating the angle of incidence. The beam normal irradiance was measured in Bandung, Indonesia on 26 July 2019 at 07:07 until 16:07. The angle of incidence of fixed (non-tracking) was calculated by determining the constant and independent variable of design, calculating solar altitude angle and solar azimuth angle. The independent variables were aperture tilt angle and aperture azimuth angle. The design result for fixed (non-tracking) system in Bandung at that date, the highest sum of beam aperture irradiance during that periods was obtained at aperture tilt angle 15° and aperture azimuth angle 15°. The two-axis tracking gave a better result of beam aperture irradiance than fixed (non-tracking) at that position with the difference of 14.19%. However, fixed (non-tracking) gave simpler operation and cheaper operating costs than two-axis tracking.
Quantum algorithms for the Goldreich-Levin learning problem

The Goldreich-Levin algorithm was originally proposed for a cryptographic purpose and then applied to learning. The algorithm is to find some larger Walsh coefficients of an $n$ variable Boolean function. Roughly speaking, it takes a $poly(n,\frac{1}{\epsilon}\log\frac{1}{\delta})$ time to output the vectors $w$ with Walsh coefficients $S(w)\geq\epsilon$ with probability at least $1-\delta$. However, in this paper, a quantum algorithm for this problem is given with query complexity $O(\frac{\log\frac{1}{\delta}}{\epsilon^4})$, which is independent of $n$. Furthermore, the quantum algorithm is generalized to apply for an $n$ variable $m$ output Boolean function $F$ with query complexity $O(2^m\frac{\log\frac{1}{\delta}}{\epsilon^4})$.
Non-Blind Speech Watermarking Method Based on Spread-Spectrum Using Linear Prediction Residue

We propose a method of non-blind speech watermarking based on direct spread spectrum (DSS) using a linear prediction scheme to solve sound distortion due to spread spectrum. Results of evaluation simulations revealed that the proposed method had much lower sound-quality distortion than the DSS method while having almost the same bit error ratios (BERs) against various attacks as the DSS method.
Population based optimization algorithms improvement using the predictive particles

A new efficient improvement, called Predictive Particle Modification (PPM), is proposed in this paper. This modification makes the particle look to the near area before moving toward the best solution of the group. This modification can be applied to any population algorithm. The basic philosophy of PPM is explained in detail. To evaluate the performance of PPM, it is applied to Particle Swarm Optimization (PSO) algorithm and Teaching Learning Based Optimization (TLBO) algorithm then tested using 23 standard benchmark functions. The effectiveness of these modifications are compared with the other unmodified population optimization algorithms based on the best solution, average solution, and convergence rate.
The Present Situation and Future of Hainan Province with Information Technology Promoting the Balanced Development of Compulsory Education

Affected by the dual structure of urban and rural areas for a long time, the development of compulsory education in China is unbalanced in regions, urban and rural areas and schools. In recent years, great progress has been made in the informatization and balanced development of compulsory education in Hainan. However, there is still a long way to go to achieve the goal of “city integration”, “international education island” and “Information Intelligence Island” in the free trade zone (port). Apart from the determinant of weak foundation and historical debt, the difference between the level of economic development and other reasons, the difficulties in implementing the financial investment guarantee mechanism of compulsory education in counties (cities and districts), the imperfect management mechanism of teachers, the outdated concept of educational informatization, and the poor mechanism of informatization promoting balanced development of education are all the causes of the problems. To this end, the following countermeasures can be put forward: Innovate concepts. Promote the informatization and balanced development of compulsory education with the goal of quality balance; Optimize allocation. Build a high-level application system of teaching resources with the goal of integration; Innovate mechanism. Promote the informatization and balanced development of compulsory education focusing on county balance.
A group induced four-circulant construction for self-dual codes and new extremal binary self-dual codes

We introduce an altered version of the four circulant construction over group rings for self-dual codes. We consider this construction over the binary field, the rings F_2 + uF_2 and F_4 + uF_4; using groups of order 3, 7, 9, 13, and 15. Through these constructions and their extensions, we find binary self-dual codes of lengths 32, 40, 56, 64, 68 and 80, all of which are extremal or optimal. In particular, we find five new self-dual codes of parameters [56, 28, 10], twenty-three extremal binary self-dual codes of length 68 with new weight enumerators and fifteen new self-dual codes of parameters [80, 40, 14].
Bugis Language Interference with the Use of Indonesian Language in Communicating Students at SMP Negeri 1 Pammana

This research based on the processes that language learning must be carried out following the rules. The school which is a place of formal education in educating students to use Indonesian language is good and right, in the form of written and oral terms. However, in reality, the problem of Indonesian conversion is still often found in schools, at various levels starting from the higher level, which is the cause of language acquisition and mastery of more than one language (bilingual). This can be done error which is usually called interference. Interference in language is usually called "language disease" because it can damage language so it must be avoided. This interference is a result of mixing a second language rules that are mastered by someone. The purpose of this research is to describe the form of Bugis language interference with the use of Indonesian used by junior high school students in Pammana sub-district in conversation and explain the translation of Bugis language interference on the ability to support junior high school students in Pammana sub-district. The method used in this research is descriptive qualitative method. The techniques of collecting data in this research are, conducting direct dialogue with students, inviting students to communicate well in the learning process. SMP Negeri 1 Pammana to interrupt Bugis language compilation to communicate or speak in Indonesian, this is done during formal conversations, this helps deviate from the rules of the Indonesian language.
EFEKTIFITAS GAME POWERPOINT DALAM MENGEMBANGKAN KEMAMPUAN MATEMATIKA PERMULAAN DI TK ASYOFA PADANG

This study aims at determining the effectiveness of powerpoint games in developing initial mathematical abilities. The approach used was quantitative with a quasi experimental method type pretest-posttest group design. The population of this study was all of the group B early young learners in Koto Tangah Subdistrict, Padang City 2018/2019 academic year. The sampling technique used was simple random sampling with a total sample of 30 children. The data were collected by using an initial mathematical ability test adopted from REMA the Research Based Early Mathematics Assessment. Data analysis technique was an independent t-test, seeing a comparison of differences in average scores. The result shows that powerpoint games were effective in developing early mathematical abilities in the experimental group compared to the control group. The use of powerpoint games can be an alternative learning media in developing other aspects of development.
Understanding BatchNorm in Ternary Training

Neural networks are comprised of two components, weights andactivation function. Ternary weight neural networks (TNNs) achievea good performance and offer up to 16x compression ratio. TNNsare difficult to train without BatchNorm and there has been no studyto clarify the role of BatchNorm in a ternary network. Benefitingfrom a study in binary networks, we show how BatchNorm helps inresolving the exploding gradients issue.
Character Computing and HCI

Personalization plays an important role in human–computer interaction. A vast body of work has been directed into establishing research fields aiming to provide adaptive and personalized experience, e.g., Affective Computing and Adaptive Systems. However, current digital systems are largely blind to users’ character and traits. Systems that adapt to users’ character show great potential for augmenting character and for creating novel user experiences. This chapter presents possible indicators of users’ character from the HCI literature, discussing possibilities of recognizing and expressing character. Additionally, this chapter gives insights about potential application domains that might benefit from Character Computing as an emerging field. Lastly, this chapter discusses potential concerns, being as any fields, while Character Computing might open up interaction opportunities, it raises concerns from the various perspective from interaction concerns to privacy and ethical concerns.
Software Quality Prediction Using Data Mining Techniques

The development of software systems is hard process. The software engineers doing their best during the software construction levels to produce high quality systems. Quality measured from multi perspectives. External and internal perspectives determined by McCall’s quality model. In the scope of our work, we concerned with the internal quality. The code level represents the internal quality of the software. By using object-oriented metrics, we can measure code quality. These metrics reflects a clear idea about the code under investigation. Therefore, we proposed to use them during the code test level of the project. If there are any outliers in the values of the selected metrics, we can revise them by applying the appropriate corrections at the code. The code has variant design problems called design smells or code smells. These problems affects directly on the future maintenance of the project. One of the widely spread problem is the Feature Envy method. This type of code design problems causes complicated maintenance problems. In order to make the maintenance process completed in optimum time we have to get rid of this code problem. Therefore, earlier detection is the right way to minimize the time needed for expected maintenance and development. In this paper, we combined the OO metrics with some data mining algorithms to classify the code’s methods into two types as Feature Envy or not. The paper applied the technique on an open source java project. In addition, evaluate the results with other selected detection tools with different techniques. The results registered a high accuracy in the case of using cross validation against using training set option in K-Nearest neighbor algorithm.
Content and Structure of Methodological Culture of Master’s Degree Candidates

The paper shows that independent work of students in current conditions has acquired the status of one of the critical forms of organization of students' activities aimed at the development of graduates' readiness for permanent self-development as a necessary condition for successful adaptation in a continuously changing educational, professional, and social environment.The structural components of the independent work of students as a type of educational activity carried out by students as indirect management from teachers are also revealed.The pedagogical conditions for increasing efficiency of independent work of students also include a clear definition of places, goals, and objectives of independent work in the structure of educational process; use of methods for motivation of students to perform independent work; design and application of a system of successive complicating level of problems of competence-oriented educational tasks; as well as creation of information and educational environment.
Quantum teleportation of two types of three-qubit states via the W class states

We propose a quantum teleportation protocol to transmit two types of three-qubit states in the form of both specific three-qubit unentangled states and three-qubit entangled states_by using twofold of three-qubit W class states with Bob’s ancillary particle. This paper shows that Bob’s unitary transformation is performed in two steps. Firstly, we utilize two unitary operations into Bob’s particle. Lastly, a unitary transformation is applied to reconstruct Bob’s information. Both the success probability and fidelity of the protocol can attain the values of one.
SPECIFICS OF INFORMATION ON THE INTERNET

The article presents the results of the theoretical study of the specificity of information messages on the Internet in the context of the role of information in modern society, focusing on the basic properties of textual information and informativeness as its necessary characteristic. It is stated that, taking into consideration that the information society is characterized by a reflexive learning of information, which, reflecting rapid changes in the social system and life, is not reliable or factual, but has exclusively hypothetical probabilistic character, and the growing role of the Internet as a major source of information, the quality of information on the world electronic network is an important problem that needs to be solved. The phenomenon of information and its correlation with alike concepts (knowledge, facts) was analyzed, the main types and properties of text information, among which the special attention is focused on informativeness as the most important necessary characteristic of information messages on the Internet, were distinguished. It was pointed out that the analysis of the properties of information and the specifics of its submission on the Internet network demonstrated the lack of really important for the person and society, true factual information, and much of the Internet messages were objectively uninformative. The situation was caused by the circumstances that the modern Internet network had lost its purpose of being a macro-repository and source of the necessary for person and society information to a great extent, becoming a place, where the different quality information: from true and necessary to fake, meaningless and candidly absurd, had existed. It was shown that the Internet – a global means of mass communication in society, capable of rapid transmission of huge flows of information, – was the sign-symbolic abstract social system. But we can rely on the information in it only temporary and if necessary, because its quality is often questionable, and the format of presentation – fragmentary of the separate clips of information – deprives it of not only reliability and credibility, but also of meaningfulness. It was discovered that there were obstacles both in finding the necessary information on the Internet, and in the identification of its reliability and understanding of the meaning, caused in particular by the fragmentary-chaotic character of information’s submission, oriented not so much on informing people, but on the realization of the purpose of the hidden informational-communicative influence on individual and mass consciousness. It was concluded that in order to satisfy the user search and optimize the quality of information on the Internet, it should be accessible, reliable and valuable, should have signs of completeness and informative of coverage of the problem under study. &nbsp
The Teaching of English in Indonesian Primary Schools: a Response to the New Policy

In this study, I investigated the teachers' current practice without curriculum of English lesson at primary schools and teacher's response to the new policy on English lessons in primary school. The participants of this study were 46 respondents which consist of 17 males and 29 females. The data was obtained by distributing an open-ended question to teachers who teach in a primary school in Jember district of East Java. The questionnaire was administered to the teacher to be filled in directly. The first finding showed that most of the teachers agreed that teachers should be qualified, teachers need appropriate teaching media for students, and most of the students are very enthusiastic in learning English. The second finding about the teacher's response to the new policy on English lessons in primary school showed that most teachers expected the government to return the English language policy to be taught in primary school as a compulsory subject. Conclusion, the current practices of teaching English in primary school are divided into three parts, 1) most the teachers who involve become sample in this study agreed that the teachers should be qualified in teaching English in primary school, 2) most the teachers needed teaching media appropriate for the students in primary school, 3) most the students were very enthusiastic about learning English.&#x0D; Keyword; Indonesian primary school, teacher, new policy.
Development of a Wheelchair-Based Upper-Limb Assistance Device Controlled by a Predictive Motion Recognition System

Many people lose the ability of upper limb due to accident or disease, which greatly influences their activities of daily living (ADL). In order to improve their quality of life (QoL), we developed a wheelchair-based upper-limb exoskeleton controlled by Kinect-based motion recognition system with predictive algorithm based on Kalman filter to assist upper-limb function in ADL. The Kinect was employed to design a human motion recognition system as the control input of the device. According to the angles data of user’s upper limb detected by Kinect, we established a 3-dimension dynamic model to calculate the necessary torques of each joint, in which we considered about inertia of human. We were able to control the assistance device by a real-time track. In addition, the Kalman filter was considered to overcome the time delay issue in this study. By using the established mathematical model in the prediction model and the updated model, we can predictively supply the assistance for upper-limb based on Kinect sensor.