Miracle-dz/UniFAR-FTUs huggingface dataset:
An Enhanced K Nearest Neighbor Classifier for Malicious Node Detection in VANET

Recently, wireless communication technologies have become a vital part of our lives. The advancements made in communication technology, VANET systems is been introduced. With the increase of vehicles, different sorts of traffic are created in realistic environment. In some cases, the traffic is created by anomalies. Henceforth, the security of VANET communication becomes an important entity. In this paper, we proposed an enhanced k-Nearest Neighbor classifier that detected the malicious node in VANET. Generally, the classifier suffers from high computational cost in distance estimation during malicious node detection. The efficiency of the proposed classifier is experimented and implemented by validating the throughput and packet delivery rate. Compared to the existing classifier, the proposed classifier achieves 20-25% improvement. By doing so, the communication overhead and delay metrics have been achieved and also helps to minimize the computational storage costs.
Pilot Study of Polymerization Dynamics in nMAG Dose Gel

The essential component of modern radiation therapy is the application of steep dose gradients during patient treatment in order to maximize the radiation dose to the target volume and protect neighboring heathy tissues. However, volumetric dose distribution in an irradiated target is still a bottleneck of dose verification in modern radiotherapy. Dose gels are almost the only known dosimetry tool which allows for the evaluation of dose distribution in the irradiated volume due to gel’s polymerization upon irradiation. The accuracy of dose gel dosimetry has its own obstacle, which is related to the continuation of the gel’s polymerization after the radiation treatment procedure is finished. In this article, a method to monitor the polymerization dynamics of dose gels in real-time is proposed using a modified optical spectrometry system. Using the proposed method, the changes of the optical characteristics of irradiated nMAG dose gels in situ were assessed. The investigation revealed that the detectable polymerization in dose gel proceeds up to 6 h after irradiation. This time is significantly shorter compared with a commonly recommended 24 h waiting time allocated for polymer gel to settle. It was also found that dose rate significantly influences the temporal response of the nMAG dosimeter. By increasing the irradiation dose rate by a factor of 2, the time needed for the polymerization process to settle was increased by 22%. Identification of the gel’s post-irradiation polymerization time interval and its dependence on irradiation parameters will contribute to more accurate dose verification using dose gel dosimetry.
CONSTRUCTION OF ANTI-FLOOD BARRIERS SOLVED BY RECYCLING OF WASTE PLASTICS

The structure of the development anti-flood barriers from recycled plastics is composed from metal and plastic sources. When designing the geometry and constructing the barrier, the first stage was to design a structure based on the shape of unified blocks made from PP and PE. The last generation of metal construction was constructionally optimized by renowned producer KONSTRUKTA-Industry, a.s. Unified plastic blocks were designed in Slovakia at Chemosvit Environchem, a.s. in cooperation with Chemosvit; the focus was to produce blocks made from recycled materials and their subsequent application for beneficial use. The structure underwent numerous optimization processes including load field trials, finite element analysis (FEA) and internal/external stability analysis. Production documentation, prototypes, and field tests were also performed. The latest changes to the design are being performed in order to prepare it for mass production. Our development is the subject of protection [Soos 2011], [Soos 2013], [Soos 2014b], [Soos 2014c], [Soos 2014d]. The latest generation of the strategy is in fig. 1
From History to Architectural Imagination: A physical ambiences laboratory to interpret past sensory experiences and speculate on future spaces

The built environment offers an impressive corpus of spatial typologies on which architects and users may build their knowledge based of ambiences. This corpus primarily consists of existing buildings originating from a wide spectre of historical backgrounds, but it could also include past ambiences. A physical ambiences laboratory has recently been developed, built, and inhabited to compare existing and past ambiences, but foremostly speculate on future ambiences. It consists of a full-scale, adaptable structure that allows for the experience of architectural typologies, and enables spatial transformations through time. Building the adaptable structure in an outdoors environment aims to connect the theory of ambiences with the actual complexity of experiencing on a site, which cannot be adequately approached with digital simulation. The definition of an ambience therefore involves complexity because of the changing nature of the environmental conditions that generates it, such as light, wind, sun, and sound, creating varying distribution patterns of natural fluxes. This research-creation project recognizes that the people-environment issue constitutes an essential basis to the creation of genuine genius loci. The research suggests that adaptive opportunities and reinterpretation of existing ambiences could ultimately translate into new spaces to experience environmental delight for responsive inhabitants.
Can Tourism contribute to the Sustainable Development Goals? Evidence from Pacific Island Countries & Territories

The Sustainable Development Goals (SDGs) are a set of 17 interconnected global goals aimed at achieving a better and more sustainable future for all people. Tourism has long been perceived as a passport to development in Pacific Island Countries and Territories (PICTs). As such, tourism development in PICTs, if undertaken sustainably, can contribute to the SDGs. The paper cites examples where tourism can contribute, either directly or indirectly to all 17 SDGs in PICTs. There are numerous examples cited in the literature. But there are questions about how sustainable is the industry as a whole. Despite several excellent instances of how tourism may contribute to the SDGs in the Pacific, tourism’s potential to contribute to the SDGs effectively and meaningfully in the post-COVID-19 future may require further reconsideration. Keywords: Pacific Islands; SDGs; Tourism Development; MGDs; Fiji; Sustainability
Functional Reference Architecture for Corporate Master Data Management

Master Data Management (MDM) brings about two major challenges for companies: 1) Companies need to cope with the complexity of the subject, and 2) companies see themselves confronted with a wide range of IT products and solutions for MDM. Presenting a Functional Reference Architecture for Corporate Master Data Management, the present paper identifies and describes from a business perspective functional requirements MDM software should meet. The Functional Reference Architecture provides a basic terminology, a check list, and an assessment scheme for various application scenarios, like product evaluation, roadmap planning or exchange of information and experiences. Furthermore, MDM solutions of four software providers are examined with regard to their capability to meet the functions specified in the Functional Reference Architecture.
Uniform exponential stability criteria with verification for nonautonomous switched nonlinear systems with uncertainty

This article is concerned with the sufficient and necessary conditions for the global uniform exponential stability (GUES) of a class of uncertain nonautonomous switched nonlinear systems (UNSNS), that is, systems with time‐varying uncertain information. To start with, based on a piecewise continuous scalar function and a piecewise differentiable uncertainty‐dependent Lyapunov function along the trajectories, we propose alternative sufficient and necessary conditions for the GUES of UNSNS. Afterwards, for removing the dependence on uncertain information of the required Lyapunov functions, we combine an uncertainty‐independent Lyapunov function with its right upper Dini derivative and the above piecewise continuous scalar function to further obtain other alternative sufficient and necessary conditions for the GUES of UNSNS. Note that our conditions release the requirement on negative definiteness of the time‐derivatives and Dini derivatives of Lyapunov functions respectively, which is illustrated by Example 1. Further, for the rational UNSNS, we propose a linear semidefinite programming based computable approach to mechanically verify our current theoretical results. In the end, the effectiveness of our theoretical results and mechanical approach are illustrated by two examples.
Low power smart sensor circuits for biomedical applications : applications to neural interfaces

Health problem is one of the most important issues for our human race. In the past a few decades, smart sensors have been widely used in the healthcare area for real-time monitoring, diseases diagnosis and prevention, and a lot of research activities have been carried on in the design of low-cost, innovative biomedical smart sensors. Benefiting from the advances in the submicron complementary metal oxide semiconductor (CMOS) technologies, highly integrated smart sensor system have been developed for different applications. A smart sensor is a intelligent system which can be used to detect or predict problems. Typically it is composed of some basic blocks with function of signal acquisition, feature extraction and classification. This thesis focuses on the design of some basic circuit blocks in the smart sensor system for biomedical applications. We take the neural signal recording as an example, present a novel circuit design on the spike signal detection, feature extraction and classification. In this thesis, we proposed a novel low power, compact, current-mode spike detector (SPD) with feature extractor for real-time neural recording systems where neural spikes or action potential (AP)s are of interest. Such a circuit can enable massive compression of data facilitating wireless transmission. This design can generate a high signal-to-noise ratio (SNR) output by approximating the popularly used nonlinear nonlinear energy operator (NEO) through standard analog blocks. We show that a low pass filter after the NEO can be used for two functions (i) estimate and cancel low frequency interference and (ii) estimate threshold for spike detection. The circuit is implemented in a 65 nm CMOS process and occupies 200 μm x 150 μm of chip area. Operating from a 0.7 V power supply, it consumes about 30 nW of static power and 7 nW of dynamic power for 100 Hz input spike rate making it the lowest power consuming spike detector reported so far. After the detection, feature extraction is needed to get the neural spike shape information,
Sediment Management with Submerged Vanes

Submerged vanes are small river training structures used for protection of streambanks against erosion and for amelioration of shoaling problems in navigation channels, at water intakes, in bridge crossings, and at diversions. The structures function by modifying the near-bed flow pattern and redistributing flow and sediment transport within the channel cross section. The theory of the structures is developed elsewhere. The paper describes the design guidelines and typical applications.
Examining fake news comments on Facebook: an application of situational theory of problem solving in content analysis

Abstract Fake news is always diffused faster than true news, particularly on social media such as Facebook where everyone can freely share and comment on posts. This study aimed to identify fake news commenters’ belief and emotion towards fake news on Facebook, analyze their situational perceptions and communicative action towards fake news based on Situational Theory of Problem Solving (STOPS), and examine the association between the variables. A content analysis was conducted on 2189 comments derived from 45 fake news on Facebook between 2017 to 2019, Chi-Square Test was subsequently performed to analyze the association between the variables. The findings showed that there is an association between belief and emotion towards fake news - fake news non-believers tend to show negative emotion when they read fake news and commenters with negative emotion are more likely to claim that the news is fake compared to their counterpart. However, negative emotion is not significantly associated with proving the news is fake. Among the situational perceptions of STOPS that were significantly associated with communicative action, constraint recognition appeared to have the largest effect. The findings of this study provided recommendation to the collective efforts of multistakeholders in combating fake news.
Wireless Sensor Network Technology-Based Design and Realization of Intelligent Tennis Sports System

With the progress of the times and the development of science and technology, the scientific and technological elements infiltrated in various sports fields are increasingly enriched, which greatly improves the skills and technical and tactical levels of sports participants and sports equipment users and the development of sports items. With the increasing importance of education, people have begun to pay attention to physical education. Tennis has also received much attention in recent years. However, there are many problems in traditional tennis, such as untimely detection and irregular movements, so this paper is aimed at studying how to design an intelligent system for tennis based on wireless sensor network technology. With the development of sports, athletes have higher and higher requirements for themselves. However, traditional training has been unable to find their own mistakes in time, and the intelligent tennis system can not only analyze the data information of tennis in the air but also provide users with various sports analysis data to help players find specific problems and achieve the purpose of comprehensively improving tennis skills. This paper presents the development of wireless sensor networks and tennis and introduces the concepts of wireless sensor networks and tennis. From the data of the experiment in the text, we can see that the growth rate of tennis courses offered in colleges and universities increased from about 4% to about 24% in 2019, an increase of 20%. In 2020, the growth rate of tennis courses in colleges and universities increased from about 21% to about 33%, an increase of 12%. It can be seen that in recent years, tennis has been valued by major universities and loved by students. Therefore, it is necessary to take necessary measures for the development of tennis, and it is very meaningful to realize the intelligent system of tennis based on wireless sensor network.
Edible Insect Farming in the Context of the EU Regulations and Marketing—An Overview

Simple Summary Insects have been identified as an alternative in the development of food systems and as a response to the growing demand for protein in the world. Edible insects have been recognized as an important innovation in the food sector. In the past, insects have been consumed in many cultures, and they are presently being introduced to Europe as a novel food and livestock. This article comprehensively reviews the use of edible insects in relation to their breeding, production technology, legal and socio-economic aspects. The role of food safety and legislation in implementing insects as food and feed is discussed. Moreover, the article introduces the breeding of edible insects as a developing and future-oriented business sector. In conclusion, the consumption of insects by humans and animals can significantly contribute to better diversification and security of the global food chain. The low acceptance of insect-based foods, in particular in Western societies, is an important problem that has been identified in this article. Consumer acceptance of insects as a rich source of nutrients is required for the further development of the sector. Consumer education and appropriate marketing strategies are required to promote the growth of the edible insect industry. Abstract Insects are increasingly being considered as an attractive source of protein that can cater to the growing demand for food around the world and promote the development of sustainable food systems. Commercial insect farms have been established in various countries, mainly in Asia, but in Europe, edible insects have not yet emerged as a viable alternative to traditional plant- and animal-based sources of protein. In this paper, we present an interdisciplinary overview of the technological aspects of edible insect farming in the context of the EU regulations and marketing. Based on a review of the literature, we have concluded that edible insect farming can be a viable business sector that significantly contributes to the overall sustainability of food systems if the appropriate regulations are introduced and food safety standards are guaranteed. However, the success of the edible insect industry also requires consumer acceptance of entomophagy, which is rather low in Western societies. Therefore, targeted marketing strategies are indispensable to support the implementation of edible insect programs.
Cyborg Insects: Bug or a Feature?

Cyborg insects are a major part of the vision of future interactions of the living world and technology, including but not limited to the Internet of Living Things (IoLT). They are crawling or flying insects with additional electronic circuitry allowing remote control of their movement and collection of sensory data. In this critical review, we survey the historical development of cyborg insects engineering, from the first backpacks on insects used for communication and sensing, to different methods of control and actuation of insects’ locomotion. We review the suggested applications of cyborg insects ranging from military use to agriculture, pointing out the problematic connotations of swarms and cyborgs in these contexts. We address the applications and the narratives around engineered insects from the perspective of philosophy, economy, law, and politics. We add perspectives on emancipatory potential of cyborg technology and where the future of it could lie.
Structural Insights into Phospholipase Cε

PLC (phospholipase C) enzymes hydrolyze phosphatidylinositol lipids to generate inositol phosphates (IPx) and diacylglycerol (DAG). These second messengers stimulate intracellular calcium release and protein kinase C activation. PLCε is the most recently identified member of the PLC family, and is activated downstream of G protein‐coupled receptors (GPCRs) and receptor tyrosine kinases (RTKs) through direct interactions with G proteins. In the cardiovascular system, PLCε is necessary for normal cardiac contractility, and its dysregulation contributes to cardiac hypertrophy and heart failure. PLCε shares a highly conserved core that is observed in other PLC subfamilies, and contains a unique N‐terminal CDC25 domain and two C‐terminal Ras association (RA) domains. However, structural insights into the full‐length protein, or catalytically active fragments that contain two or more regulatory domains, have been lacking. Using a combination of structural and functional studies, we previously showed that the PH domain and first two EF hands are dynamic in solution, providing an explanation as to why high‐resolution structures have been elusive. We are now pursuing high‐resolution structural studies of larger PLCε variants and the full‐length enzyme using single particle cryo‐electron microscopy (cryo‐EM). To facilitate this process, we are utilizing domain‐specific fab antibodies as fiduciary markers and to stabilize this conformationally heterogeneous protein. Understanding the structure of PLCε will be critical in identifying sites that can be targeted by small molecule chemical probes, ultimately validating this enzyme as a therapeutic target in cardiovascular disease.
Planning Flying Robot Navigation in a Three-dimensional Space by Optimaztion Combining Q-learning and Monte Carlo Algorithms

This article examines navigation of a flying robot inside a building environment in three dimensional spaces in which the size and location of some obstacles are not determined and other obstacles and target can be moving. This article suggests a new method by combining Q-learning algorithm and Monte Carlo algorithm on optimal navigation by the flying robot. The rewards are intended to be maximized when the robot flies in the right route; moreover, the maximum performance power would be measured according to the future predictions and the well-doing of that action would be also measured. Here, this method has been implemented with Webots simulator, and simulated data are analyzed by MATLAB. The simulation results show that control of the policy obtained from Q-learning and Monte Carlo methods is more efficient compared to traditional methods in controlling flying robot navigation.
Hybrid real-code population-based incremental learning and differential evolution for many-objective optimisation of an automotive floor-frame

In this paper, a many-objective hybrid real-code population-based incremental learning and differential evolution algorithm (MnRPBILDE) is proposed based on the concept of objective function space reduction. The method is then implemented on real engineering design problems. The topology, shape and sizing design of a simplified automotive floor-frame structure are formulated and used as test problems. A variety of well-established multi-objective evolutionary algorithms (MOEAs) including the original version of MnRPBILDE are employed to solve the test problems while the results are compared based on hypervolume and C indicators. The results indicate that our proposed algorithm outperforms the other MOEAs. The proposed algorithm is effective and efficient for many-objective optimisations of a car floor-frame structure.
Unit Commitment Mempertimbangkan Stabilitas Tegangan Dengan Metode Binary Particle Swarm Optimization (BPSO)

Unit commitment (UC) adalah penjadwalan nyala-padam operasi unit pembangkit listrik untuk memenuhi kebutuhan daya listrik pada rentang waktu tertentu dengan tujuan memperoleh total biaya pembangkitan yang ekonomis. Perbedaan karakteristik dari setiap unit pembangkit dan batasan tertentu mengakibatkan kombinasi penjadwalan pembangkit yang berbeda-beda. Selain batasan-batasan yang telah ditentukan, pada UC ini mempertimbangkan stabilitas tegangan. Tugas akhir ini mengajukan Binary Particle Swarm Optimization (BPSO) untuk menyelesaikan masalah unit commitment (UC) dan menggunakan sequential quadratic programming (SQP) untuk menentukan biaya pembangkitan dari optimal power flow (OPF). BPSO merupakan algoritma yang sesuai untuk menyelesaikan permasalahan optimisasi. Dengan metode tersebut, diharapkan permasalahan penjadwalan unit pembangkit dapat terselesaikan dengan baik dan optimal sehingga memperoleh total biaya pembangkitan yang ekonomis, dan mampu mencegah sistem dari voltage collapse.