1,390,422 research outputs found
Resultaten van het Rijkswaterstaat JAMP 2008 monitoringsprogramma van bot (Platichthys flesus L.). Biologische gegevens van bot en milieukritische stoffen in bot
No full textDe in dit rapport beschreven werkzaamheden zijn door Wageningen IMARES uitgevoerd op basis van een opdracht van Rijkswaterstaat in het kader van het Joint Assessment and Monitoring Program van de OSPARCOM. De opdracht hield in het verkrijgen van biologische gegevens van bot. De benodigde monsters bot werden verzameld door IMARES. Tevens werd materiaal van bot verzameld voor chemisch onderzoek en geanalyseerd. De opdracht is gebaseerd op het werkdocument “Werkplan monitoring visziekten en chemische stoffen in botten, 2008”, van 7 mei 2008
vamsitadikonda/chat-defender-bot: first major release
No full textA Discord Bot to prevent cyberbullying and hate speech in chatroom
The build, operate, and transfer ("BOT") approach to infrastructure projects in developing countries
No full textBuild, operate and transfer (BOT) projects are exceedingly complex from both a financial and a legal point of view. They require an extended period of time to develop and negotiate. If a country is not able to finance all of its needed infrastructure on the basis of budgetary resources or sovereign borrowings, the BOT approach is an option to be considered. A BOT project appears to provide some"additionality"in tapping sources of private sector financing which otherwise might not be available. The sponsors'commitment of substantial equity to a project assures that they will also remain committed to the project's successful operation over the concession period. Their investment provides a strong incentive to have the project perform above its minimum expectations. Likewise, having the design, implementation and operation of a BOT project largely in the hands of the private sector may provide economies and efficiencies that will balance out or even outweight the higher financing costs of non sovereign borrowing and equity investment. The BOT approach appears to be a useful possible alternative to the conventional financing and operation of infrastructure projects in developing countries.Municipal Financial Management,Public Sector Economics&Finance,Housing Finance,Environmental Economics&Policies,Banks&Banking Reform
Advanced Bot Response Mechanism based on DNS Sinkhole
No full textMalicious attacks in cyberspace have been continuously increasing. In particular, widely distributed bots are leading the cyber attacks such as distribute denial of service attack, spamming, critical information hijacking. Various technologies for bot detection and response are being developed, DNS-Sinkhole technique is known as the most effective way to respond to bot activities. However, legacy sinkhole system has a variety of limitations such as low accuracy and limited information, because it was developed for detection of early bot technology (IRC bot). In this paper, we propose an advanced bot response mechanism by using enhanced DNS-Sinkhole system. Especially, we focus on the improving of post-processing mechanism based on packet analysis. The proposed mechanism and system allow more efficient bot response by extending detection range and providing high detection accuracy
"On Modelling Negotiations within a Dynamic Multi-objective Programming Framework: Analysis of Risk Measurement with an Application to Large BOT Projects"
No full textThe dynamic and multi-objective programming is used here to establish a risk measurement model. We develop an iterative algorithm and the convergence conditions for the model solution. The results obtained from the model developed here show that the sum of the interactive utility value (IUV) could determine whether or not the interactive relationship is characterized by independence among negotiators. In addition, the numerical example shows that this risk measurement model of the negotiation group can reflect risk assessment by the negotiation group for certain events and can analyze interaction characteristics among negotiators. We show the feasibility and applicability of the model and the exact solution algorithm, and their policy relevance for analyzing BOT projects.
GeoTecINIT/Geotec-Bot-Logs: Released with Zenodo DOI
No full textThis is the result of a test made with the bot
Turmell-Bot
No full textWe present the design of the Turmell-Bot,
an assistive robot for human ankle physical therapy. We
studied ankle biomechanics from a multidisciplinary holis-
tic approach and analyzed the two-rotational serial chain
known as the talocrural and subtalar axes. Moreover, we im-
plemented a primary ankle analogous to the two-rotational,
cable-driven mechanism. And by using the screw theory
framework, we study the tensegrity and mobility interaction
between ankle-foot tendons and joints. Then, we synthe-
sized a four-tendon-driven robot that considers the human
ankle serial chain in the closed-loop mechanism. We repre-
sented the human ankle axis by Plücker line coordinates,
integrating a draw-wire sensor system to capture the ankle
movements and estimate the ankle axes’ position and ori-
entation. Then, we used the axis coordinates projected to
the base and platform planes to reconfigure the cable an-
chor endpoints to equilibrate the antagonistic cable-driven
actuators. Finally, we computed the workspace, the kine-
matics and validated the robot’s stability with the software
Mujoco and proposed a mechanical design</p
kireevlab/FRASE-bot-RDKit: In silico Fragment-based Discovery of CIB1-directed Anti-Tumor Agents by FRASE-bot
No full text<p>This release of FRASE-based hit finding robot (FRASE-bot) was developed in Python using non-commercial libraries to make it open and shareable. FRASE-bot is described in an article just accepted in Nature Communications (this text will be updated as soon as a DOI is assigned).</p>
Bot generation and detection for sensor time series data using LSTM
No full textΣτην εποχή του IoT, οι συσκευές παράγουν τεράστιες και συνεχείς ροές πληροφοριών.
Διερευνώντας τέτοιες ροές δεδομένων για νέα γεγονότα, προβλέποντας μελλοντικές εμπειρίες και
αποφασίζοντας για δυνατότητες ελέγχου, χρησιμοποιούνται προγράμματα που αυτοματοποιούν την
περιήγηση και εκτελούν ορισμένες εντολές που ονομάζονται bots. Σήμερα, τα bots απαιτούνται
λόγω του τεράστιου διαθέσιμου περιεχομένου, αλλά έχουν χρησιμοποιηθεί και για διάφορους
κακόβουλους σκοπούς, όπως επιθέσεις botnet, παραπληροφόρηση και χειραγώγηση διαδικτυακών
συνομιλιών.
Τα bots που βασίζονται στην τεχνητή νοημοσύνη βρίσκονται σε άνοδο αυτές τις μέρες, με τη
δυνατότητα να αναγνωρίζουν το μοτίβο χρήσης ενός χρήστη και να αναπτύσσονται ανάλογα. Ως
αντίμετρο, στον τομέα της αποφυγής οποιασδήποτε μορφής επιθέσεων από bot, τα συστήματα που
βασίζονται στη μάθηση είναι αναγκαία.
Σε αυτή τη μεταπτυχιακή διατριβή υιοθετείται, μια τεχνική για τη δημιουργία μιας χρονοσειράς
αισθητήρων από ένα bot που δημιουργείται με μεθόδους τεχνητής νοημοσύνης και στη συνέχεια
πρόκειται να ταξινομηθεί εάν μια χρονοσειρά προήλθε από bot ή άνθρωπο. Η δημιουργία του bot
προήλθε από GAN, με NN και LSTM και στη συνέχεια ανιχνεύθηκε από Bidirectional LSTM,
διερευνώντας την ακρίβεια και τη διαφορά, από συνθετικές έναντι πραγματικών χρονοσειρών, σε
διαφορετικά σενάρια εκπαίδευσης, με εξαιρετικά αποτελέσματα μερικές φορές έως και 100%. Στο
τέλος εξηγείται γιατί η δημιουργία, δεν λειτούργησε τόσο καλά λόγω converge failure και τι πρέπει
να ληφθεί υπόψη για τη μελλοντική εργασία, κατά τον συντονισμό ενός GAN, προκειμένου να
αποφευχθούν τα ίδια λάθη.In the era of IoT, devices produce enormous and continuous information streams. Investigating
such amount of data for new facts, forecasting future experiences, and deciding on control
possibilities, programs are used that automate browsing and perform certain commands which are
called bots. Nowadays, bots are required because of the vast amount of available content, but also
have been used for malicious purposes, such as botnet attacks, misinformation and manipulation of
online conversations.
Botnets based on artificial intelligence are on the rise these days, with the ability to recognize
a user's behavioral pattern and deploy themselves as humans. As a counter measure, in the realm of
botnet attack avoidance, learning-based systems are an unavoidable necessity.
In this master thesis there is an approach to generate a sensor timeseries from a bot which is
generated by AI methods, and then is about to classify whether a time series, came from a bot or a
human. The generation of the bot came from GANs with NN and LSTM, and then detected by
Bidirectional LSTM by investigating the accuracy from generated vs real timeseries, in different
training scenarios, with excellent results sometimes up to 100%. In the end explains why the
generation did not work so well due to convergence failure and what must consider to the future
work, during the tuning of a GAN, regarding the hyperparameters, in order to avoid the same
mistakes
AN INVESTIGATION OF BOT ACCOUNT IDENTIFICATION ON TWITTER DATA
No full textTwitter bots are automated accounts which are programmed to perform certain tasks which resemble those of daily active users such as tweeting, liking a tweet or following. Most of the time, they are designed with malicious intent such as spreading fake news, spamming or manipulation of public opinion. More and more, the Twitter platform
is being constantly threatened by malicious bots. The aim of this specific research is to investigate different state-of-the-art systems and corresponding attributes to identify bots on Twitter data and to find how identification can be improved. Evaluations are performed on real world data using both learning and non-learning systems demonstrating the performance of bot identification using different attributes, classifiers, and publicly available tools. Results are very promising when the aforementioned systems are trained and tested on data with the ground truth compared to the existing literature with/without learning systems
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