In order to achieve the wide range of the robotic application it is necessary to provide iterative motions
among points of the goals. For instance, in the industry mobile robots can replace any components between
a storehouse and an assembly department. Ammunition replacement is widely used in military services.
Working place is possible in ports, airports, waste site and etc. Mobile agents can be used for monitoring if
it is necessary to observe control points in the secret place. The paper deals with path planning programme
for mobile robots. The aim of the research paper is to analyse motion-planning algorithms that contain the
design of modelling programme. The programme is needed as environment modelling to obtain the
simulation data. The simulation data give the possibility to conduct the wide analyses for selected
algorithm. Analysis means the simulation data interpretation and comparison with other data obtained
using the motion-planning. The results of the careful analysis were considered for optimal path planning
algorithms. The experimental evidence was proposed to demonstrate the effectiveness of the algorithm for
steady covered space. The results described in this work can be extended in a number of directions, and
applied to other algorithms.
Researched improvements on increasing efficiency of organic solar cells by utilizing and modifying the Purdue University researchers NanoMOS MATLAB simulations
https://nanohub.org/resources/1305?rev=1
Comparing reinforcement learning and access points with rowelijcseit
Due to the fast development of the Cloud Computing technologies, the rapid increase of cloud services
are became very remarkable. The fact of integration of these services with many of the modern
enterprises cannot be ignored. Microsoft, Google, Amazon, SalesForce.com and the other leading IT
companies are entered the field of developing these services. This paper presents a comprehensive survey
of current cloud services, which are divided into eleven categories. Also the most famous providers for
these services are listed. Finally, the Deployment Models of Cloud Computing are mentioned and briefly
discussed.
International Journal of Computer Science, Engineering and Information Techno...ijcseit
Simulated annealing and fiber-optic cables, while essential in theory, have not until recently been
considered private. This is an important point to understand. In fact, few end-users would disagree with the
evaluation of scatter/gather I/O, which embodies the natural principles of complexity theory. Here we
disconfirm that despite the fact that journaling file systems and red-black trees are never incompatible, the
infamous modular algorithm for the emulation of the partition table runs in Ω (n) time.
High-Speed Neural Network Controller for Autonomous Robot Navigation using FPGAiosrjce
IOSR Journal of Electronics and Communication Engineering(IOSR-JECE) is a double blind peer reviewed International Journal that provides rapid publication (within a month) of articles in all areas of electronics and communication engineering and its applications. The journal welcomes publications of high quality papers on theoretical developments and practical applications in electronics and communication engineering. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
Scalable Rough C-Means clustering using Firefly algorithm..................................................................1
Abhilash Namdev and B.K. Tripathy
Significance of Embedded Systems to IoT................................................................................................. 15
P. R. S. M. Lakshmi, P. Lakshmi Narayanamma and K. Santhi Sri
Cognitive Abilities, Information Literacy Knowledge and Retrieval Skills of Undergraduates: A
Comparison of Public and Private Universities in Nigeria ........................................................................ 24
Janet O. Adekannbi and Testimony Morenike Oluwayinka
Risk Assessment in Constructing Horseshoe Vault Tunnels using Fuzzy Technique................................ 48
Erfan Shafaghat and Mostafa Yousefi Rad
Evaluating the Adoption of Deductive Database Technology in Augmenting Criminal Intelligence in
Zimbabwe: Case of Zimbabwe Republic Police......................................................................................... 68
Mahlangu Gilbert, Furusa Samuel Simbarashe, Chikonye Musafare and Mugoniwa Beauty
Analysis of Petrol Pumps Reachability in Anand District of Gujarat ....................................................... 77
Nidhi Arora
Tuple-Based Coordination in Large-Scale Situated SystemsRoberto Casadei
Space and time are key elements for many computer-based systems and often elevated to first-class abstractions. In tuple-based coordination, Linda primitives have been independently extended with space (with tuples and queries spanning spatial regions) or time information (mostly for tuple scoping). However, recent works in collective adaptive systems and aggregate computing show that space and time can naturally be considered as two intertwined facets of a common coordination abstraction for situated distributed systems. Accordingly, we introduce the Spatiotemporal Tuples model, a natural adaptation of Linda model for physically deployed large-scale networks. Unlike prior research, spatiotemporal properties – expressing where and when a tuple should range and has to be deposited/retrieved – naturally turn into specifications of collective adaptive processes, to be carried on in cooperation by the devices filling the computational environment, and sustaining tuple operations in a resilient way, possibly even in mobile and faulty environments. Additionally, the model promotes decentralised implementations where tuples actually reside where they are issued, which is good for supporting peer-to-peer and mobile ad-hoc networks as well as privacy. In this paper, we (i) present and formalise the Spatiotemporal Tuples model, based on the unifying notion of computational space-time structure, (ii) provide an implementation in the ScaFi aggregate computing framework, turning tuple operations into aggregate processes, and finally (iii) provide evaluation through simulation and a rescue case study.
THE IMPACT OF MOBILE NODES ARRIVAL PATTERNS IN MANETS USING POISSON MODELSIJMIT JOURNAL
Mobile Ad hoc Networks (MANETs) are dynamic networks populated by mobile stations, or mobile nodes
(MNs). Specifically, MANETs consist of a collection of nodes randomly placed in a line (not necessarily
straight). MANETs do appear in many real-world network applications such as a vehicular MANETs built
along a highway in a city environment or people in a particular location. MNs in MANETs are usually
laptops, PDAs or mobile phones. These devices may use Bluetooth and/or IEEE 802.11 (Wi-Fi) network
interfaces and communicate in a decentralized manner. Mobility is a key feature of MANETs. Each node
may work as a router and the network can dynamically change with time; when new nodes can join, and
other nodes can leave the network.
This paper presents comparative results that have been carried out via Matlab software simulation. The
study investigates the impact of mobile nodes’ parameters such as the speed, the arrival rate and the size of
mobile nodes in a given area using Poisson distribution. The results have indicated that mobile nodes’
arrival rates may have influence on MNs population (as a larger number) in a location.
EFFECTS OF THE DIFFERENT MIGRATION PERIODS ON PARALLEL MULTI-SWARM PSOcscpconf
In recent years, there has been an increasing interest in parallel computing. In parallel computing, multiple computing resources are used simultaneously in solving a problem. There are multiple processors that will work concurrently and the program is divided into different tasks to be simultaneously solved. Recently, a considerable literature has grown up around the theme of metaheuristic algorithms. Particle swarm optimization (PSO) algorithm is a popular metaheuristic algorithm. The parallel comprehensive learning particle swarm optimization (PCLPSO) algorithm based on PSO has multiple swarms based on the master-slave paradigm and works cooperatively and concurrently. The migration period is an important parameter in PCLPSO and affects the efficiency of the algorithm. We used the well-known benchmark functions in the experiments and analysed the performance of PCLPSO using different migration periods.
Effects of The Different Migration Periods on Parallel Multi-Swarm PSO csandit
In recent years, there has been an increasing inter
est in parallel computing. In parallel
computing, multiple computing resources are used si
multaneously in solving a problem. There
are multiple processors that will work concurrently
and the program is divided into different
tasks to be simultaneously solved. Recently, a cons
iderable literature has grown up around the
theme of metaheuristic algorithms. Particle swarm o
ptimization (PSO) algorithm is a popular
metaheuristic algorithm. The parallel comprehensive
learning particle swarm optimization
(PCLPSO) algorithm based on PSO has multiple swarms
based on the master-slave paradigm
and works cooperatively and concurrently. The migra
tion period is an important parameter in
PCLPSO and affects the efficiency of the algorithm.
We used the well-known benchmark
functions in the experiments and analysed the perfo
rmance of PCLPSO using different
migration periods.
With the widespread of smart mobile devices and the
availability of many applications that provide maps, many programs
have spread to find the closest and fastest routes between
two points on the map. While the exactness and effectiveness of
best path depend on the traffic circumstances, the system needs to
add more parameters such as real traffic density and velocity in
road. In addition, because of the restricted resources of phone devices,
it is not reasonable to be used to calculate the exact optimal
solutions by some familiar deterministic algorithms, which are
usually used to find the shortest path with a map of reasonable
node number. To resolve this issue, this paper put forward to use
the genetic algorithm to reduce the computational time. The proposed
system use the genetic algorithm to find the shortest path
time with miscellaneous situations of real traffic conditions. The
genetic algorithm is clearly demonstrate excellent result when applied
on many types of map, especially when the number of nodes
increased.
Similar to Fast Unbalanced Optimal Transport on a Tree (20)
Metric Recovery from Unweighted k-NN Graphsjoisino
Introduction of
- Towards Principled User-side Recommender Systems (CIKM 2022) https://arxiv.org/abs/2208.09864
- Graph Neural Networks can Recover the Hidden Features Solely from the Graph Structure (ICML 2023) https://arxiv.org/abs/2301.10956
- and their related technology.
Speakerdeck: https://speakerdeck.com/joisino/metric-recovery-from-unweighted-k-nn-graphs
Private Recommender Systems: How Can Users Build Their Own Fair Recommender S...joisino
JSSST 2022 https://jssst2022.wordpress.com/ における発表スライドです。
論文
Private Recommender Systems: How Can Users Build Their Own Fair Recommender Systems without Log Data? (SDM 2022)
arXiv: https://arxiv.org/abs/2105.12353
第6回 統計・機械学習若手シンポジウムの公演で使用したユーザーサイド情報検索システムについてのスライドです。
https://sites.google.com/view/statsmlsymposium21/
Private Recommender Systems: How Can Users Build Their Own Fair Recommender Systems without Log Data? (SDM 2022) https://arxiv.org/abs/2105.12353
Retrieving Black-box Optimal Images from External Databases (WSDM 2022) https://arxiv.org/abs/2112.14921
The ability to recreate computational results with minimal effort and actionable metrics provides a solid foundation for scientific research and software development. When people can replicate an analysis at the touch of a button using open-source software, open data, and methods to assess and compare proposals, it significantly eases verification of results, engagement with a diverse range of contributors, and progress. However, we have yet to fully achieve this; there are still many sociotechnical frictions.
Inspired by David Donoho's vision, this talk aims to revisit the three crucial pillars of frictionless reproducibility (data sharing, code sharing, and competitive challenges) with the perspective of deep software variability.
Our observation is that multiple layers — hardware, operating systems, third-party libraries, software versions, input data, compile-time options, and parameters — are subject to variability that exacerbates frictions but is also essential for achieving robust, generalizable results and fostering innovation. I will first review the literature, providing evidence of how the complex variability interactions across these layers affect qualitative and quantitative software properties, thereby complicating the reproduction and replication of scientific studies in various fields.
I will then present some software engineering and AI techniques that can support the strategic exploration of variability spaces. These include the use of abstractions and models (e.g., feature models), sampling strategies (e.g., uniform, random), cost-effective measurements (e.g., incremental build of software configurations), and dimensionality reduction methods (e.g., transfer learning, feature selection, software debloating).
I will finally argue that deep variability is both the problem and solution of frictionless reproducibility, calling the software science community to develop new methods and tools to manage variability and foster reproducibility in software systems.
Exposé invité Journées Nationales du GDR GPL 2024
Salas, V. (2024) "John of St. Thomas (Poinsot) on the Science of Sacred Theol...Studia Poinsotiana
I Introduction
II Subalternation and Theology
III Theology and Dogmatic Declarations
IV The Mixed Principles of Theology
V Virtual Revelation: The Unity of Theology
VI Theology as a Natural Science
VII Theology’s Certitude
VIII Conclusion
Notes
Bibliography
All the contents are fully attributable to the author, Doctor Victor Salas. Should you wish to get this text republished, get in touch with the author or the editorial committee of the Studia Poinsotiana. Insofar as possible, we will be happy to broker your contact.
(May 29th, 2024) Advancements in Intravital Microscopy- Insights for Preclini...Scintica Instrumentation
Intravital microscopy (IVM) is a powerful tool utilized to study cellular behavior over time and space in vivo. Much of our understanding of cell biology has been accomplished using various in vitro and ex vivo methods; however, these studies do not necessarily reflect the natural dynamics of biological processes. Unlike traditional cell culture or fixed tissue imaging, IVM allows for the ultra-fast high-resolution imaging of cellular processes over time and space and were studied in its natural environment. Real-time visualization of biological processes in the context of an intact organism helps maintain physiological relevance and provide insights into the progression of disease, response to treatments or developmental processes.
In this webinar we give an overview of advanced applications of the IVM system in preclinical research. IVIM technology is a provider of all-in-one intravital microscopy systems and solutions optimized for in vivo imaging of live animal models at sub-micron resolution. The system’s unique features and user-friendly software enables researchers to probe fast dynamic biological processes such as immune cell tracking, cell-cell interaction as well as vascularization and tumor metastasis with exceptional detail. This webinar will also give an overview of IVM being utilized in drug development, offering a view into the intricate interaction between drugs/nanoparticles and tissues in vivo and allows for the evaluation of therapeutic intervention in a variety of tissues and organs. This interdisciplinary collaboration continues to drive the advancements of novel therapeutic strategies.
Earliest Galaxies in the JADES Origins Field: Luminosity Function and Cosmic ...Sérgio Sacani
We characterize the earliest galaxy population in the JADES Origins Field (JOF), the deepest
imaging field observed with JWST. We make use of the ancillary Hubble optical images (5 filters
spanning 0.4−0.9µm) and novel JWST images with 14 filters spanning 0.8−5µm, including 7 mediumband filters, and reaching total exposure times of up to 46 hours per filter. We combine all our data
at > 2.3µm to construct an ultradeep image, reaching as deep as ≈ 31.4 AB mag in the stack and
30.3-31.0 AB mag (5σ, r = 0.1” circular aperture) in individual filters. We measure photometric
redshifts and use robust selection criteria to identify a sample of eight galaxy candidates at redshifts
z = 11.5 − 15. These objects show compact half-light radii of R1/2 ∼ 50 − 200pc, stellar masses of
M⋆ ∼ 107−108M⊙, and star-formation rates of SFR ∼ 0.1−1 M⊙ yr−1
. Our search finds no candidates
at 15 < z < 20, placing upper limits at these redshifts. We develop a forward modeling approach to
infer the properties of the evolving luminosity function without binning in redshift or luminosity that
marginalizes over the photometric redshift uncertainty of our candidate galaxies and incorporates the
impact of non-detections. We find a z = 12 luminosity function in good agreement with prior results,
and that the luminosity function normalization and UV luminosity density decline by a factor of ∼ 2.5
from z = 12 to z = 14. We discuss the possible implications of our results in the context of theoretical
models for evolution of the dark matter halo mass function.
What is greenhouse gasses and how many gasses are there to affect the Earth.moosaasad1975
What are greenhouse gasses how they affect the earth and its environment what is the future of the environment and earth how the weather and the climate effects.
Observation of Io’s Resurfacing via Plume Deposition Using Ground-based Adapt...Sérgio Sacani
Since volcanic activity was first discovered on Io from Voyager images in 1979, changes
on Io’s surface have been monitored from both spacecraft and ground-based telescopes.
Here, we present the highest spatial resolution images of Io ever obtained from a groundbased telescope. These images, acquired by the SHARK-VIS instrument on the Large
Binocular Telescope, show evidence of a major resurfacing event on Io’s trailing hemisphere. When compared to the most recent spacecraft images, the SHARK-VIS images
show that a plume deposit from a powerful eruption at Pillan Patera has covered part
of the long-lived Pele plume deposit. Although this type of resurfacing event may be common on Io, few have been detected due to the rarity of spacecraft visits and the previously low spatial resolution available from Earth-based telescopes. The SHARK-VIS instrument ushers in a new era of high resolution imaging of Io’s surface using adaptive
optics at visible wavelengths.
1. 1 KYOTO UNIVERSITY
KYOTO UNIVERSITY
Fast Unbalanced Optimal Transport on a Tree
Ryoma Sato
Kyoto University / RIKEN AIP
2. 2 / 13 KYOTO UNIVERSITY
Self Introduction
I am a second year master's student at
Kyoto University
I’m interested in algorithmic aspects of machine
learning and data mining for structured data, including
Graph neural networks:
Ryoma Sato, Makoto Yamada, Hisashi Kashima. Approximation Ratios of
Graph Neural Networks for Combinatorial Problems. NeurIPS 2019.
Ryoma Sato, Makoto Yamada, Hisashi Kashima. Random Features
Strengthen Graph Neural Networks. SDM 2021
Optimal transport:
Ryoma Sato, Makoto Yamada, Hisashi Kashima. Fast Unbalanced Optimal
Transport on a Tree. NeurIPS 2020.
Today’s topic
3. 3 / 13 KYOTO UNIVERSITY
Background: optimal transport is useful
The optimal transport (OT) distance measures
the discrepancy of two distributions.
We consider discrete distributions in this presentation.
The OT distance is the minimum cumulative
distance that all masses need to travel from
one distribution to another distribution
In generative modeling, a mass is a sample.
discrepancy of model sample distribution
In text classification, a mass is a word.
OT does not require the same support KL divergence
OT exploits the underground geometry
From Word Embeddings To
Document Distances, ICML 2015
4. 4 / 13 KYOTO UNIVERSITY
Background: sliced OT is computationally cheap
OT is formulated as a linear program cubic cost
Sliced OT projects distributions to random
1D spaces and computes OT there
Greedy matching solves 1D OT exactly linear cost
: distance matrix (input), : matching matrix (variable)
: 1st mass vector (input), : 2nd mass vector (input)
The leftmost mass should be matched to
the leftmost mass
The second leftmost mass should be matched
to the second leftmost mass ...
https://www.programmersought.com/article/67174999352/
https://analyticsindiamag.com/how-to-establish-domain-transferability-in-neural-models/
5. 5 / 13 KYOTO UNIVERSITY
Background: unbalanced OT is robust
OT is sensitive to outliers because transporting outliers
becomes the dominating term
Unbalanced OT (UOT) allows to discard and create
masses by paying some penalties
We can discard outliers robust to outliers
UOT is also formulated by a linear program
cubic cost
6. 6 / 13 KYOTO UNIVERSITY
Background: UOT is difficult even in 1D spaces
We want to make a cheap alternative of UOT as 1D OT
But the greedy matching fails to solve 1D UOT
Let’s consider the following instance with discard cost λ
The following plan costs 3λ.
The following plan costs 2λ + 2ε. Thus this is better.
λ λ λ
7. 7 / 13 KYOTO UNIVERSITY
Background: UOT is difficult even in 1D spaces
Let’s consider the following instance with discard cost λ
The following plan costs λ + 2ε.
The following plan costs 2λ + 2ε. Thus this is worse.
λ ε
8. 8 / 13 KYOTO UNIVERSITY
Background: UOT is difficult even in 1D spaces
Although these two instances share the leftmost part,
the leftmost mass in the first instance should be
discarded while that in the second instance should not
The optimal UOT plan cannot be determined locally
The optimal OT plan is determined locally
Thus the greedy algorithm fails to solve 1D UOT
We proposed how to solve 1D UOT efficiently
λ λ λ
λ ε
9. 9 / 13 KYOTO UNIVERSITY
Algorithm: prune redundant plans
Our proposed method determines assignments from
left to right (as the greedy algorithm)
Although there are exponentially many plans, most of
them are redundant.
We proved that only O(n) plans are non-redundant
Only one plan is non-redundant (thus greedy is valid) in the standard OT
not yet
not yet
non redundant
redundant
10. 10 / 13 KYOTO UNIVERSITY
Algorithm: we solve 1D UOT in O(n log2
n) time
A naive algorithm requires cubic time even with this
(non redundant plan) observation
More algorithmic techniques are required for further
speedup (skipped in this presentation)
Dynamic programming
Fast convex min-sum convolution
Efficient data structure (BBST)
Weighted union heuristics
Finally, we derived a quasi-linear time algorithm
which runs in O(n log2
n) time in the worst case
11. 11 / 13 KYOTO UNIVERSITY
Algorithm: tree UOT generalizes 1D UOT
Our method can be extended to tree spaces
A 1D space (path) is a special case of tree spaces
In text classification, the word
space can be represented by a
word tree. Each mass (word)
travels on the word tree to a
nearby (semantically similar) word.
We can “tree-slice” high dimensional
spaces instead of 1D-slicing,
which captures richer structures
http://www.sthda.com/english/articles/31-principal-component-methods-in-r-practical-guide/117-hcpc-hierarchical-clustering-on-principal-components-essentials/
a → b
12. 12 / 13 KYOTO UNIVERSITY
Experiments: our algorithm is empirically fast
We confirmed that our algorithm could compute tree
UOT with one million masses within one second
We also confirmed that tree-slicing high dimensional
spaces could approximate the original UOT problem
13. 13 / 13 KYOTO UNIVERSITY
Conclusion: fast computation of tree UOT
Sliced OT is a fast alternative of OT
UOT is a robust variant of OT
1D UOT is more difficult than 1D OT
We proposed an efficient algorithm for 1D UOT for the
first time
Our method can be extended to tree spaces
Our method is empirically fast (1M masses in 1 sec)