Miracle-dz/UniFAR-FTUs huggingface dataset:
Obstacle avoidance flocking motion in multi-agent systems with limited sensing radius and heterogeneous input constraints

This paper addresses the leaderless and leader-followers flocking motion problems of multi-agent systems in a workspace with obstacles. We consider inertial agents with equally limited communication radius and heterogeneous input constraints. Using the notion of proximity graphs, we provide distributed controllers to induce the desired flocking behaviour. Unlike previous results, our controller designs do not require predicted states or a target determination scheme and allow edge deletions. Also, by taking advantage of the group's heterogeneity, our controllers allow agents with less restrictive input constraints to compensate for the control effort that their less capable neighbours cannot provide. We illustrate the effectiveness of our proposals through numerical simulations. GRAPHICAL ABSTRACT
Intraseasonal Oscillation and the Onset and Retreat Dates of the Summer Monsoon over East, Southeast

The seasonal cycle and the onset and retreat dates in the summer monsoon in East Asia, Southeast Asia and the Western Pacific region are analyzed using 12-year (April 1978-December 1989) means of the 5-day mean 1-degree latitude-longitude gridded GMS high-cloud-amount data. An analysis of these data showed the detailed seasonal cycles of two convective zones (ITCZ and the Baiu front) of the summer monsoon cloud defined by the regions with more than 30 (25 for Baiu front) percent of the mean high-cloud amount. The clouds associated with the ITCZ were observed to increase in Southeast Asia during May and subsequently spread to the South China Sea and the Western Pacific region in a series of sudden expansions during June and July. The Baiu front branch is preceded by an increase in the high-cloud amount along the polar front located near 30°N just south of Japan around 26 April. During the middle of May, this cloud band rapidly moved south to 20-25°N. This period coincides with the onset of the Baiu season in Okinawa. Subsequently, this cloud band moves north to mainland Japan and the Yellow Sea with a series of sudden northward advances during June and July. These abrupt changes are associated with the phase-locking between the intraseasonal oscillation and the seasonal cycle of the monsoon clouds. The onset and retreat dates derived from this study fill the major gaps in these dates over Southeast Asia and the adjacent Western Pacific region where the large area of the ocean prevented analysis of the onset (retreat) dates based on rainfall data.
Tensor Potential Description of Matter and Space, III. Gravitation

A non-geometrical (but with curved space) theory of gravitation characterized by a vector field representing gravitational matter and a metric tensor presenting space is presented. It is derived from a more general theory of matter and space in which matter, described by a 3-index tensor potential, is the prime entity and space is deducible and cannot exist without matter. Philosophically, instead of geometrization of physics, the new theory advances an idea of materialization of space. The equations that govern the theory of gravitation are deduced from the equations of main theory and have a completely different form as compared to Einstein's equations of General Relativity. An exact solution for spherical symmetry of a point mass with a Schwarzschild type metric tensor is obtained. The subject of gravitational waves and cosmology is discussed. It is shown that gravitational waves can exist within linear approximation. In this case, the metrics tensor varies only in time domain while remaining Euclideanly flat in spatial components.
Effects of Different Acids Dopant on the Electrochemical Properties of Polyaniline Cathode in Aluminum-ion batteries

Polyaniline (PANI) as the cathode material has caused great concern in aluminum-ion batteries (AIBs) due to the low cost of raw materials, simple synthesis, good chemical stability and electrochemical reversibility. However, the effect of different doping acids on the electrochemical performance of PANI cathode has not been investigated. Here we preparation of PANI by use strong acids, medium-strong acids and weak acid as dopants. Results show that the specific capacity of PANI doped with strong acids is up to 180 mAhg-1 at the current density of 100 mAg-1, which is much higher in comparison with those doped with medium-strong acids (100-120 mAhg-1) and weak acid (<60 mAhg-1). The electrochemical properties of PANI electrode materials are mainly affected by its crystallinity, doping degree, conductivity and morphology.
A survey and analysis of intrusion detection models based on information security and object technology-cloud intrusion dataset

Nowadays society, economy, and critical infrastructures have become principally dependent on computers, networks, and information technology solutions, on the other side, cyber-attacks are becoming more sophisticated and thus presenting increasing challenges in accurately detecting intrusions. Failure to prevent intrusions could compromise data integrity, confidentiality, and availability. Different detection methods are proposed to tackle computer security threats, which can be broadly classified into anomaly-based intrusion detection systems (AIDS) and signature-based intrusion detection systems (SIDS). One of the most preferred AIDS mechanisms is the machine learning-based approach which provides the most relevant results ever, but it still suffers from disadvantages like unrepresentative dataset, indeed, most of them were collected during a limited period of time, in some specific networks and mostly don't contain up-to-date data. Additionally, they are imbalanced and do not hold sufficient data for all types of attacks, especially new attack types. For this reason, upto-date datasets such as information security and object technology-cloud intrusion dataset (ISOT-CID) are very convenient to train predictive models on a cloud-based intrusion detection approach. The dataset has been collected over a sufficiently long period and involves several hours of attack data, culminating into a few terabytes. It is large and diverse enough to accommodate machine-learning studies.
When UAV and ad-hoc NOMA-BS meets in Disaster: A scheduling and mode selection approach

- With the recent growth in wireless communication, non-orthogonal multiple access (NOMA) plays an essential role in the 5G network. In the event of natural disasters protecting the life of peoples has been playing an important role around the world. Natural disasters cannot be bypassed, but their effect can be mitigated by a comprehensive network model of the disaster management system. In this paper, an unmanned aerial vehicle (UAV) and ad-hoc NOMA-BS can be applied for serving the ground users in a non-functional area (NFA) or disaster area. Disaster areas can be divided into two, such as wide area and confined areas. However, a UAV can communicate to ground users based on line-of-sight (LoS) and non-line-of-sight (NLoS) in a wide area using a scheduling approach. Also, an ad-hoc NOMA-BS can serve NOMA signal to ground users in a confined area. Furthermore, a mode selection algorithm can be applied for the users to determine whether they are nearer to UAV and ad-hoc NOMA BS or not. The expression for coverage probability and average rate are developed in our proposed UAV-assisted NOMA network. The outage probability, coverage probability, and average rate are investigated for several network parameters. Finally, results are shown via simulation in MATLAB.
Development of a tomato harvesting robot used in greenhouse

A tomato harvesting robot was developed in this study, which consisted of a four-wheel independent steering system, a 5-DOF harvesting system, a navigation system, and a binocular stereo vision system. The four-wheel independent steering system was capable of providing a low-speed steering control of the robot based on Ackerman steering geometry. The proportional-integral-derivative (PID) algorithm was used in the laser navigation control system. The Otsu algorithm and the elliptic template method were used for the automatic recognition of ripe tomatoes, and obstacle avoidance strategies were proposed based on the C-space method. The maximum average absolute error between the set angle and the actual angle was about 0.14°, and the maximum standard deviation was about 0.04°. The laser navigation system was able to rapidly and accurately track the path, with the deviation being less than 8 cm. The load bearing capacity of the mechanical arm was about 1.5 kg. The success rate of the binocular vision system in the recognition of ripe tomatoes was 99.3%. When the distance was less than 600 mm, the positioning error was less than 10 mm. The time needed for recognition of ripe tomatoes and pitching was about 15 s per tomato, with a success rate of about 86%. This study provides some insights into the development and application of tomato harvesting robot used in the greenhouse. Keywords: tomato harvesting robot, four-wheel independent steering, automatic navigation, binocular stereo vision system, obstacle avoidance, greenhouse DOI: 10.25165/j.ijabe. 20171004.3204 Citation: Wang L L, Zhao B, Fan J W, Hu X A, Wei S, Li Y S, et al. Development of a tomato harvesting robot used in greenhouse. Int J Agric & Biol Eng, 2017; 10(4): 140–149.
Estimation des modèles à correction d'erreur fractionnaires : Une note méthodologique

Cette note presente divers aspects methodologiques lies a l'identification, l'estimation et la prevision d'un modele a correction d'erreur fractionnaire (FECM). Nous analysons en particulier le biais associe a l'estimation de la relation de long terme, la nature du terme a correction d'erreur dans le cas de cointegration standard et fractionnaire, les contraintes sur les parametres du FECM et les proprietes des previsions issues de l'estimation du modele a correction d'erreur fractionnaire.
Periodic Optimization of Bus Dispatching Times and Vehicle Schedules Considering the COVID-19 Capacity Limits: A Dutch Case Study

The COVID-19 pandemic has had serious adverse impacts on public transport service providers. Most public transport lines exhibit reduced ridership levels while, at the same time, some of them may exhibit passenger demand levels beyond the pandemic-imposed capacity limitations. This study models the problem of bus dispatching time optimization within a periodic rolling horizon optimization framework that reacts to travel time and passenger demand variations. This model allows public transport service providers to adjust their bus schedules periodically to avoid in-vehicle crowding beyond the pandemic-imposed capacity limit. The proposed model is a mixed-integer linear program that considers the possible changes to vehicle schedules and tries to minimize the number of vehicles required to perform the service while adhering to the COVID-19 capacity restrictions. Case study results from the implementation of our model on bus Line 2 in the Twente region in the Netherlands are provided demonstrating the potential gains when rescheduling the trip dispatching times and vehicle schedules.
Improvement of Energy Performance Index for Domestic Prosumers Based on Newly Proposed Dynamic Tariff and Rule-Based Strategy

A smart and intelligent energy management system (SIEMS) can make the existing system more reliable, robust, and cost-effective to deal with the present power scenario. This also initiates the necessity to develop a new dynamic tariff system and integrate renewable energy sources (RES) along with the conventional grid which in turn reduces carbon emission. Many countries have adopted different strategies for energy conservation based on energy conservation code, the main aim of which is to enforce design and development of household appliances for efficient power consumption. From data provided by utility sectors, it has been found that even in few countries 25% to 28% of the total energy is consumed by domestic sector and 45% of other residential loads also contribute a major part of the total domestic load consumed in any country. As a whole, residences, which consist of light electrical loads and home appliances constitute prosumers. The total energy consumed by prosumers is also intended by Bureau of energy efficiency, to make them fall under these codes (Energy Conservation Building Code) so that they can be treated on a scale of 1 star to 5 stars. This in turn will help in improving the energy performance index (EPI). In this paper, the optimal scheduling model of household appliances and energy storage system (ESS) has been designed based on the availability of renewable energy sources and newly proposed dynamic tariff system. To validate the efficiency of the model, we have comparatively evaluated the performance of the model with different feature selection methods and optimization techniques. A case study has been done and it has been found that the weighted K nearest neighbor method for feature selection and hybrid greedy particle swarm optimization (HGPSO) technique for optimization are performing better than other existing methods. The proposed model reflects the cost-effectiveness and improvement in EPI for prosumers.
Immune Response to Biofilm Growing Pulmonary Pseudomonas aeruginosa Infection

Biofilm infections are tolerant to the host responses and recalcitrance to antibiotic drugs and disinfectants. The induced host-specific innate and adaptive immune responses by established biofilms are significantly implicated and contributes to the course of the infections. Essentially, the host response may be the single one factor impacting the outcome most, especially in cases where the biofilm is caused by low virulent opportunistic bacterial species. Due to the chronicity of biofilm infections, activation of the adaptive immune response mechanisms is frequently experienced, and instead of clearing the infection, the adaptive response adds to the pathogenesis. To a high degree, this has been reported for chronic Pseudomonas aeruginosa lung infections, where both a pronounced antibody response and a skewed Th1/Th2 balance has been related to a poorer outcome. In addition, detection of an adaptive immune response can be used as a significant indicator of a chronic P. aeruginosa lung infection and is included in the clinical definitions as such. Those issues are presented in the present review, along with a characterization of the airway structure in relation to immune responses towards P. aeruginosa pulmonary infections.
MC2: GALAXY IMAGING AND REDSHIFT ANALYSIS OF THE MERGING CLUSTER CIZA J2242.8+5301

X-ray and radio observations of CIZA J2242.8+5301 suggest that it is a major cluster merger. Despite being well studied in the X-ray and radio, little has been presented on the cluster structure and dynamics inferred from its galaxy population. We carried out a deep ( i < 25 ? > ) broadband imaging survey of the system with Subaru SuprimeCam (g and i bands) and the Canada–France–Hawaii Telescope (r band), as well as a comprehensive spectroscopic survey of the cluster area (505 redshifts) using Keck DEep Imaging Multi-Object Spectrograph. We use these data to perform a comprehensive galaxy/redshift analysis of the system, which is the first step to a proper understanding of the geometry and dynamics of the merger, as well as using the merger to constrain self-interacting dark matter. We find that the system is dominated by two subclusters of comparable richness with a projected separation of 6 &farcm; 9 − 0.5 + 0.7 ? > (1.3 − 0.10 + 0.13 Mpc ? > ). We find that the north and south subclusters have similar redshifts of z ≈ 0.188 ? > with a relative line-of-sight (LOS) velocity difference of 69 ± 190 km s − 1 ? > . We also find that north and south subclusters have velocity dispersions of 1160 − 90 + 100 ? > and 1080 − 70 + 100 km s − 1 ? > , respectively. These correspond to masses of 16.1 − 3.3 + 4.6 × 10 14 ? > and 13.0 − 2.5 + 4.0 × 10 14 ? > M ☉ ? > , respectively. While velocity dispersion measurements of merging clusters can be biased, we believe the bias in this system to be minor due to the large projected separation and nearly plane-of-sky merger configuration. We also find that the cDs of the north and south subclusters are very near their subcluster centers, in both projection (55 and 85 kpc, respectively) and normalized LOS velocity ( ∣ Δ v ∣ / &sgr; v = 0.43 ± 0.13 ? > and 0.21 ± 0.12 for the north and south, respectively). CIZA J2242.8+5301 is a relatively clean dissociative cluster merger with near 1:1 mass ratio, which makes it an ideal merger for studying merger-associated physical phenomena.
Influence of Physical Vapor Deposition on High-Cycle Fatigue Performance of Additively Manufactured Ti-6Al-7Nb Alloy

Load-bearing permanent implants, such as hip or knee joint replacements, are permanently loaded in the human body and must withstand considerable high loading cycles. The characteristic properties of additively manufactured Ti-6Al-7Nb, manufactured by laser powder bed fusion (LPBF), such as a rough surface and high residual stresses, have a detrimental effect on the fatigue behavior of such components. Functional physical vapor deposition (PVD) coatings and heat treatments offer the possibility to influence these properties. For this reason, the effects of stress-relief heat treatment (SR; 600 °C/4 h) and three PVD coatings (titanium nitride (TiN), titanium carbonitride (TiCN), and silver-containing amorphous carbon (a-C:Ag)) on the mechanical properties, in terms of high-cycle fatigue, are identified. Wöhler curves are determined and the staircase procedure ascertains the fatigue strengths. The fatigue strengths increase compared to the as-built condition by 105.4% (SR), 44.2% (TiN), 31.1% (TiCN), and 2.6% (a-C:Ag). Fracture surfaces are analyzed by scanning electron microscopy and show LPBF characteristic defects such as pores. The surfaces are partially divided into forced and fatigue fracture, the latter characterized by fatigue striations. Overall, PVD coatings, and especially SR, lead to an improved high-cycle fatigue behavior.
Study of e$^+$e$^-$ $\rightarrow \text{p} \overline{\text{p}}\pi^0$ in the Vicinity of the $\psi\text{(3770)}$

The process $e^+e^-\rightarrow p\overline{p}\pi^0$ has been studied by analyzing data collected at $\sqrt{s}=3.773$ GeV, at $\sqrt{s}=3.650$ GeV, and during a $\psi(3770)$ line shape scan with the BESIII detector at the BEPCII collider. The Born cross section of $p \overline{p} \pi^0$ in the vicinity of the $\psi(3770)$ is measured and the Born cross section of $\psi(3770)\rightarrow p \overline{p} \pi^0$ is extracted considering interference between resonant and continuum production amplitudes. Two solutions with the same probability and a significance of 1.5$\sigma$ are found, and the Born cross section of $\psi(3770)\rightarrow p \overline{p} \pi^0$ is determined to be less than 0.22 pb at 90% confidence level and $33.8\pm1.8\pm2.1$ pb, respectively. Using the estimated cross section and a constant decay amplitude approximation, the cross section $\sigma(p\overline{p} \rightarrow \psi(3770) \pi^0)$ is calculated for the kinematic situation of the planned $\overline{\text{P}}\text{ANDA}$ experiment. The maximum cross section corresponding to the two solutions is expected to be less than $0.79$ nb at 90% confidence level and $122\pm10$ nb at a center of mass energy of 5.26 GeV.
Statistical Inference for Optimisation of Drug Delivery from Stents

The current study employs state-of-the-art optimisation methods for estimation of unknown parameters in a mathematical model of highly non-linear partial differential equations describing drug delivery from a drug-eluding stent. A classical optimisation scheme entails enormous run times due to the need to numerically solve the computationally expensive equations a large number of times to obtain the objective (black-box) function. We address this issue by employing an efficient global optimisation scheme, i.e. Bayesian optimisation (BO). This scheme aims to find the optimum of the black-box function by using an emulator of the original objective function to select the next query point (while balancing exploration and exploitation), and sequentially refining the emulator. Additionally, the proposed optimisation scheme is adapted to scenarios where there are hidden constraints in parameter space by incorporating a classifier that learns the infeasible parameter domains. We demonstrate that given a fixed number of expensive mathematical model evaluations, the proposed BO scheme outperforms state-of-the-art classical optimisation methods in terms of accuracy. present study focuses on applying state-of-the-art optimisation methods, namely BO in a drug-eluting stent application.
Knowledge Management of Business Ethics in Lithuanian Companies

The never-ending series of ethical scandals in companies in various industries across the countries show that business ethics problems are not diminishing, so means to develop business ethics need to be sought to better serve the interests of stakeholders and society. As in other areas of management, knowledge and understanding of business ethics need to be developed, knowledge accumulated, transferred and applied, and knowledge management models and processes can be applied to this in societal, associative, organizational, and individual levels. Therefore, the aim of the research is to evaluate business ethics knowledge management in order to suggest for companies relevant business ethics knowledge management solutions. The survey is conducted in the case of Lithuanian companies by the method of a quantitative questionnaire survey of companies’ employees. Although the companies demonstrate a high level of ethical knowledge of how to behave in a business environment, the study reveals some gaps in ethical knowledge management related to a mercantilist approach to knowledge management when business ethics knowledge is developed, consolidated, disseminated and applied when corporate representatives see it’s. benefits. However, there is a lack of systematic knowledge sharing and transparency, knowledge accumulation and understanding of how to put ethical knowledge into business in practice. The study show high importance of moral leadership and leading by example in knowledge management of business ethics.