Reviewerly/exHarmony huggingface dataset:
Research on the Guidance Law for UAV Rendezvous Based on Virtual Leader

Abstract The rendezvous of UAVs as a first step in the formation of a UAV is crucial. In this paper, a maneuvering system based on virtual leader is proposed. Firstly, the relative kinematics model of the virtual leader and UAV is established, and then a proportional guidance law with falling angle constraint is designed to make the UAV. Finally, the desired attitude angle can be achieved, and the speed of the UAV can be controlled, so that the UAV can track the virtual leader at a set speed and maintain a relative distance, thereby achieving the purpose of formation flying. The simulation results show that this method can effectively guide the formation of UAVs and has certain engineering application value.
Recurrent Level Set Networks for Instance Segmentation

Level set (LS)-based segmentation has been widely used in medical imaging domain.It however has some difficulty when dealing with multi-instance objects in the real world.Furthermore, LS's performance is generally quite sensitive to some initial settings and parameters such as the number of iterations.To address these issues and promote the classic LS methods to a new degree of performance in a trainable deep learning framework, we are presenting a novel approach contextual recurrent level sets (CRLS) for object instance segmentation.In the proposed networks, the curve deformation process is formed as a hidden state evolution procedure in gated recurrent units (GRUs) and updated by minimizing an energy functional composed of fitting forces and contour length.
Evaluasi Kualitas Layanan Jaringan Komputer pada Jaringan Komputer STIKOM Dinamika Bangsa Jambi

STIKOM Dinamika Bangsa Jambi is an institution engaged in education. It's utilize computer networks to carry out institutional and other data management activities. Network service quality / Quality of Service (QOS) is used to measure the level of performance of internet network connections which aims to improve the quality of internet services for institutions. The method used is the action reseach where in this method before evaluating the quality of the existing network, first step in the diagnosis, planning and retrieving the output of the Axence NetTools5 application. The Quality of Service (QOS) parameters that will be seen through this application include delay, packet loss, bandwidth (throughput). Evaluation is done by comparing the catch with Tiphon's standard where for the delay output obtained between 0-1 ms so that based on the tiphon standard includes a very good category. For packet loss the output obtained is 0% and includes a very good category. As for throughput, the output obtained is at least 75.5287%, so it can be concluded that the quality of output on the network is good.
Benchmarking the region learning-based JADE on noiseless functions

This paper proposes a region-learning based JADE algorithm, namely RL-JADE, to solve numerical optimization problems. To exploit as much as possible the most promising areas known by the current population, the worst parts of population are eliminated, and some new individuals are regenerated in the area where the best parts of population locate. RL-JADE is tested based on COCO benchmarks, and compared with other DE-variants. Experimental results show that RL-JADE has a better performance than JADE on the tested 5-D problems.
Ranging Method of Binocular Stereo Vision Based on Random Ferns and NCC Template Matching

As an important research direction in the field of computer vision, binocular stereo vision has important application value for the reconstruction of scene 3D geometric information. A fast and accurate binocular vision target ranging method is proposed. Firstly, the random fern algorithm is used to accurately and quickly detect the left image target area to obtain the target center point. Then the NCC template matching algorithm is used to find the matching point in the right image. Finally, the two-dimensional coordinates of the matching point pairs of center point is used to calculate the distance between the target and the camera. The simulation results show that the ranging scheme can accurately measure the target distance within a certain distance range, and can achieve fast and effective target ranging.
Designing Value-Centric AmI: Building a Vision for a Caring AI Using Ambient Intelligent Systems

The proliferation of Artificially Intelligent agents and embedded, publicly-available sensing systems has placed great importance on the field of study known as Ambient Intelligence (AmI). AmI systems point to a future where urban areas are at least partially aware of (and responsive to) their inhabitants. AmI systems present significant technical hurdles for implementation; less studied, however, is their potential impact in terms of user experience. This research reviews the process of creating a design vision for such a system, where user values act as the driver for design. Specifically, the process of designing a vision for a future personal lighting AmI, in collaboration with a leading light provider, is used as a case study to describe a framework for the generation of a caring AmI system. In order to keep the idea of a caring AmI system at the center of the design vision, a value-centric design approach is utilized. Furthermore, scenario-based design is used to construct a series of storytelling videos that describe various possible interactions of users with the system and communicate the user values. As an additional contribution, the scenarios were then dissected using a graphic scene-by-scene analysis. This technique provides an armature for hosting the complex discussions needed to review both the technological features and user values inherent to any future AmI system.
Research on the Integration of Modern Educational Information Technology and Advanced Mathematics Teaching

Abstract The development and wide application of modern information technology have led to the improvement of the level of mathematics education in colleges and universities, and the new teaching mode of advanced mathematics teaching becomes more and more diversified and modern, which can not only enable students to experience information technology better, but also enable them to improve active consciousness at the same time when they participate in learning, and it also promotes the improvement of teachers’ teaching efficiency. Based on this situation, the author mainly takes modern educational information technology as the starting point in this paper, focusing on the integration and application of advanced mathematics teaching and modern educational technology in China.
A Fusion Clustering Algorithm Based on Global Gravitation Search and Partitioning Around Medoid

Partitioning around medoid (PAM) is a classical clustering algorithm widely used in practice, but it has some shortcomings such as sensitivity to the initial center and empirical determination of cluster number. To solve these problems, a fusion clustering algorithm based on gravitational search algorithm (GSA) and PAM is proposed. Firstly, regarding the clustering center set as the population particle, and the global search ability of GSA is used to optimize the initial cluster centers. Secondly, the population maturity factor is added to avoid the local optimum. Thirdly, the Davies-Bouldin Index (DBI) is added to evaluate clustering quality to obtain the optimal cluster number in the loop iteration. Finally, the simulation experiment is carried out on the four UCI datasets. The experimental results show that the fusion algorithm can effectively find the number of clusters in each dataset, and has higher accuracy and better ability to select appropriate clustering centers than K-means, PAM, GSA and the algorithm in literature [6].
A Hybrid Framework for Human Face Detection and Recognition in Videos

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Gaming Background Influence on VR Performance and Comfort: A Study Using Different Navigation Metaphors

Navigation metaphors in Virtual Reality environments have consistently challenged researchers and developers due to the difficulty of implementing locomotion techniques with high levels of comfort, sense of presence, efficacy and able to fit different narrative environments. In this context, several studies have linked cybersickness to the performance of navigation metaphors, concluding that navigation metaphors based on natural locomotion and with kinesthetic feedback (such as walking-in-place) are more comfortable than those based on indirect locomotion (such as flying). In this paper, we present the results of a study where 41 individuals were asked to navigate a VR environment with two different navigation metaphors. A primary performance metric (karmapoints) derived from the game mechanics introduced in the virtual environment was recorded. Additional subjective metrics about comfort (related to cybersickness) were also recorded through questionnaires. Our results show that participants with a more intense “gamer” background outperform those without such background in both navigation metaphors, regardless of their previous VR experience. Likewise, high level gamers felt less comfortable with the walk-in-place metaphor, which challenges the more accepted explanations of the causes of cybersickness.
Virtual Simulation Based Intercultural Learning

The communication across cultures is challenging, but it is more and more important with the development of economic globalization. Virtual simulation technologies could help create an immersive situated learning environment for improving the intercultural learning experience. Global Understanding (GU) is an international collaborative education community for improving the intercultural competence of the students. We study the approaches that virtual simulation technologies introduced into GU based on the analysis of virtual simulation in intercultural learning as well as the case of Shaanxi Normal University (SNNU) incorporating virtual simulation in teaching history and culture. The knowledge and communicating skills of different cultures are the two important factors in intercultural learning, and we believe they could be improved by virtual simulation based immersive experiencing and interactive virtual simulation respectively. The already-made virtual resources and the ones made collaboratively by the students, including 3D models, panoramic videos/images, and video games, together with the virtual reality content distribution methods could form an ecosystem for the virtual simulation based intercultural learning.
From Hardware to Software: Evaluating the Swipe Gestures Navigation Feature on Mobile Phones

This paper presents the user experience evaluation of a smartphone feature to allow users to do gestures in a small, pill-shaped button that replaces the typical Android navigation bar. This proposed pill-shaped button, located at the bottom of the screen, allows swipe and tap gestures to do the same functions available on the navigation bar: go back, go to home screen and open the recent apps. However, the pill-shaped button is smaller than the whole navigation bar, which leaves more space to the apps to show their content on screen. In order to evaluate this feature, 252 participants were invited to use it during about 3 months and report any issues using some apps to describe them as well as collect logs remotely. Also, participants were also invited to answer a few user satisfaction surveys after some time using the feature. Based on the findings from this evaluation process, it was possible to fix the issues found and improve the overall usability before the feature hit the market.
Semantic Segmentation of Remote Sensing Images via Stepwise-Refined Large-Kernel Deconvolutional Networks

Abstract Deep CNN based semantic segmentation has been developed for several years and many models are proposed. However, most of them are designed for natural scene images such as PASCAL VOC, and cannot perform very well on remote sensing images, in which objects are much smaller and more densely distributed than those in natural scene images. In this paper, we demonstrate the importance of high-resolution feature maps and the problem of large dilated convolutional kernels in semantic segmentation of remote sensing images. Furthermore, we propose a Stepwise-Refined Large-Kernel Deconvolutional Network with a focus on small and densely-distributed objects such as houses and buildings, or long and narrow ones such as roads and rivers. Experiments on a public available ISPRS Vaihingen Challenge Dataset and our self-compiled Fujian Dataset show that our model outperforms the state-of-the-art models in semantic segmentation of remote sensing images.
Philanthropy and ERM: The Dance of Innovation

The author details establishing a type of philanthropic enterprise that applies the innovative work processes she employed as an electronic resources librarian at an academic library and within a library consortium. Approaches to this philanthropic work, especially through the strategic application of innovation and business process management are described, as well as a vision to support library organizations and electronic resources management through innovative philanthropy. Her work in establishing a new Philanthropy Advisory Group for the American Library Association provides an example of this philanthropic approach.
The Influence of Pre-processing of Input Data on the Quality of Energy Yield Forecasts from a Photovoltaic Plant

The aim of this study was to analyse the influence of different methods of pre-processing of input data such as moving average, subtraction of the mean and smoothing with the 4253H filter on the quality of forecasts of energy yield from a photovoltaic plant developed on the basis of MLP artificial neural networks. Forecasts were conducted at hourly time intervals for three types of cells; mon- and polycrystalline cells, as well as CIGS thin-film cells. The aim of the study was achieved based on the authors’ own research conducted at a PV plant located in Krakow with a total power output of 12.67 kWp. The assessments of the models developed were made based on the total ratio of energy for balancing in the total energy production (ΔESR) and on an analysis of the mean absolute percentage error (MAPE).
Research on the Application of Eye Movement Human-Computer Interaction in Jewelry Design

Eye movement human-computer interaction has become a new tool for user research, but it is rarely used in jewelry design. Based on eye movement experiments on jewelry materials, sketches and material quality, this paper acquires, identifies, interprets and processes consumers’ internal needs and emotional signals, then evaluates the quality of related images of jewelry design. Finally, this paper discusses the feasibility and effectiveness of applying eye movement experiments to jewelry design and attempts to construct a jewelry design method based on eye movement experiments to guide the design.
Text Steganography: Design and Implementation of a Secure and Secret Message Sharing System

Textual communication among parties where sensitive information is exchanged is prone to potential risks. Therefore, it is indispensable to have mechanism to protect such communications from malicious attacks. In the contemporary world, national cyber security has become a concern which needs to be given paramount importance. Cyber criminals have acquired wherewithal to challenge the critical digital infrastructure of a country if there is no sustainable effort to safeguard information security and forensics. For secret messaging, two important techniques are cryptography and Steganography. The focus of this paper is on text Steganography which is light weight and faster than other forms where audio or image or video is used as cover media. Light weight means of text embedding and extraction mechanisms are defined and implemented for secure and secret sharing of information. A prototype application is built to demonstrate proof of the concept.
On a Three-Valued Logic with Blamey’s Interjunction for the Formal Description of Atomic Transactions

The article demonstrates that to describe the property of atomicity (one of the ACID property) of transactions in database systems, we need a three-valued logic with propositional connective characterized in the same way as Blamey’s interjunction. However, the article explains that since Blamey’s partial logic with interjunction is a logic without tautologies, it does not satisfy some salient conditions of being a logic of atomic transactions. The article introduces a logic of the considered kind, and provides an example of the formal exposition of the case of an atomic transaction. Finally, the article explains the philosophical significance of the introduced logic.
Gender Representation in SMS Jokes

This research aims to investigate how language is used in a new mode of communication such as SMS jokes portraying different roles of human gender. A distinct form of ideology is constructed in SMS jokes by using certain expressions which criticize the roles of both the genders in a humorous way which helps in reinforcing the already existing stereotypes about them. The study adopted the qualitative research method and purposive sampling technique was used for the selection of SMS jokes. Through this sampling technique, 30 different gender-biased SMS jokes were selected which were received on the cell phone numbers of researchers. It is believed that only the female gender becomes the target of ridiculous humor, but this study proves that the attitudes associated with both male and female are humiliating. The findings of research reveal that jokes play a pivotal role in constructing the overall image of both the genders. The language which is used in portrayal of both male and female gender is highly subjective, derogatory, abusive, and prejudiced.
Talker Quality in Design and Evaluation of Speech-Based Interactive Systems

Scientific theory and practice in HCI has changed over the last decades, not only due to new insights and empirical progress, but also with the emergence of new trends affecting viewpoints and raising new research questions.
Analysis of a Programming Process Sharing the Card-Type Programming Tool “Pro-Tan”

We have been developing a tangible programming tool called “Pro-tan” which has a card-type interface. This paper reports the system configuration of Pro-tan and analysis of the usefulness when two users share Pro-tan. We conducted an experiment comparing Pro-tan with the programming software “Studuino”, which has an interface suitable for operation by children. We evaluated the usefulness of Pro-tan in a collaborative learning process in which two users share the same system.
Ofelia’s Interruption of Ophelia in Hamlet

Using interruptions as a specific formal structure, this article explores the varying characterisation of Ophelia/Ofelia in Hamlet. The textual differences apparent in the ‘Nunnery’ scene present an Ophelia in Q2 that is interrupted by Hamlet and possesses little power, whereas her Q1 counterpart actively engages the prince and repeatedly interrupts him. These differences highlight not only a change in characterisation but also a reconceptualisation of the status of the two texts: Q2 presents a directed and writerly dramatic text, while Q1 offers an open and performative theatrical one. By considering the repeated interruptions not as corruptions in the text but as open and artful choices, Q1’s Ofelia becomes a more equal and interesting character who asserts agency and defies Hamlet’s misogynistic invective.
SOFTWARE SYSTEM OF MULTI-OBJECTIVE OPTIMIZATION BY METHOD OF INVESTMENT PORTFOLIO

A financial market changing state requires an automation to determine investment strategies in combination with the high accuracy of solutions found. There is offered a solution for the problem mentioned with the use of methods of an evolutionary modeling, in particular, a genetic algorithm developed. It allows defining optimum Pareto options of an investment portfolio (IP) differing with the balance between its profitability and a risk. The algorithm mentioned is used in the developed software program with a module structure. It contains the collection and analysis subsystems of data on security characteristics, IP structure optimization, and also IP choice the most corresponding to investor’s requirements. The software system working capacity was analyzed at IP formation on the basis of actual data during the time period chosen the data obtained correspond to the indices of possible investment strategies.
Benchmarking genetic programming in dynamic insider threat detection

In real world applications, variation in deployment environments, such as changes in data collection techniques, can affect the effectiveness and/or efficiency of machine learning (ML) systems. In this work, we investigate techniques to allow a previously trained population of Linear Genetic Programming (LGP) insider threat detectors to adapt to an expanded feature space. Experiments show that appropriate methods can be adopted to enable LGP to incorporate the new data efficiently, hence reducing computation requirements and expediting deployment under the new conditions.
A Systematic Approach for Constructing 3D MRI Brain Image over 2D Images

Brain-related study must be very precise and accurate. As the brain is one of the important organ in the human body. Hence the medical image processing plays a vital role in early diagnosis and treatment planning. In the proposed paper layering mechanism is used to construct 3D brain image from several 2D Magnetic Resonance Images (MRI). In the first step, intensity-based registration technique is used to perform the registration of T1 and T2 weighted MRI images. The registered image is segmented for easy diagnosis, using gray level feature extraction and region growing segmentation methods. Finally tri-linear interpolation method is used to construct a 3D image from segmented image by matching the characteristic points of T1 and T2 weighted images. By confirming simulation results, we concluded that proposed approach is more efficient and accurate to construct 3D brain model from 2D MR images.