Search results for " Network"
showing 10 items of 6428 documents
Zero-shot Semantic Segmentation using Relation Network
2021
Zero-shot learning (ZSL) is widely studied in recent years to solve the problem of lacking annotations. Currently, most studies on ZSL are for image classification and object detection. But, zero-shot semantic segmentation, pixel level classification, is still at its early stage. Therefore, this work proposes to extend a zero-shot image classification model, Relation Network (RN), to semantic segmentation tasks. We modified the structure of RN based on other state-of-the-arts semantic segmentation models (i.e. U-Net and DeepLab) and utilizes word embeddings from Caltech-UCSD Birds 200-2011 attributes and natural language processing models (i.e. word2vec and fastText). Because meta-learning …
Verkkohuijausten tyypit sosiaalisessa mediassa
2017
Types of online scams in social media. In this thesis, types of online scams in social media are examined first by defining online scams and then applying the principles of them to social media setting. The thesis is a literature review in which it was found that in social media there are similar types of scams than outside of it. These types of scams were phishing scams, scams related to social engineering malware attacks and 419 -scams. There were a couple of scam scenarios that were not detected outside of social media context due to social networking site required as a platform for the scams. These were scams involving impersonation of celebrities or friends, services offering followers…
Requirements for Energy Efficient Edge Computing: A Survey
2018
Internet of Things is evolving heavily in these times. One of the major obstacle is energy consumption in the IoT devices (sensor nodes and wireless gateways). The IoT devices are often battery powered wireless devices and thus reducing the energy consumption in these devices is essential to lengthen the lifetime of the device without battery change. It is possible to lengthen battery lifetime by efficient but lightweight sensor data analysis in close proximity of the sensor. Performing part of the sensor data analysis in the end device can reduce the amount of data needed to transmit wirelessly. Transmitting data wirelessly is very energy consuming task. At the same time, the privacy and s…
Latency-Oblivious Distributed Task Scheduling for Mobile Edge Computing
2018
Mobile Edge Computing (MEC) is emerging as one of the effective platforms for offloading the resource- and latency-constrained computational services of modern mobile applications. For latency- and resource-constrained mobile devices, the important issues include: 1) minimize end-to-end service latency; 2) minimize service completion time; 3) high quality-of-service (QoS) requirement to offload the complex computational services. To address the above issues, a latencyoblivious distributed task scheduling scheme is designed in this work to maximize the QoS performance and goodput for the MEC services. Unlike most of the existing works, we consider the latency-oblivious property of different …
Optimization of Linearized Belief Propagation for Distributed Detection
2020
In this paper, we investigate distributed inference schemes, over binary-valued Markov random fields, which are realized by the belief propagation (BP) algorithm. We first show that a decision variable obtained by the BP algorithm in a network of distributed agents can be approximated by a linear fusion of all the local log-likelihood ratios. The proposed approach clarifies how the BP algorithm works, simplifies the statistical analysis of its behavior, and enables us to develop a performance optimization framework for the BP-based distributed inference systems. Next, we propose a blind learning-adaptation scheme to optimize the system performance when there is no information available a pr…
Modeling and Mitigating Errors in Belief Propagation for Distributed Detection
2021
We study the behavior of the belief-propagation (BP) algorithm affected by erroneous data exchange in a wireless sensor network (WSN). The WSN conducts a distributed multidimensional hypothesis test over binary random variables. The joint statistical behavior of the sensor observations is modeled by a Markov random field whose parameters are used to build the BP messages exchanged between the sensing nodes. Through linearization of the BP message-update rule, we analyze the behavior of the resulting erroneous decision variables and derive closed-form relationships that describe the impact of stochastic errors on the performance of the BP algorithm. We then develop a decentralized distribute…
Analysis of the Role of the Latvian Natural Gas Network for the use of Future Energy Systems: Hydrogen from Res
2021
The research has been funded by the Ministry of Economics of the Republic of Latvia, project “Trends, Challenges and Solutions of Latvian Gas Infrastructure Development (LAGAS)”, project No. VPP EM-INFRA-2018/1-0003.
BUSINESS ECOSYSTEM UNDER CONSTRUCTION
2012
In recent years, we have seen the rise in interest on new service concepts that would take the advantage of capabilities of ecosystems instead that of single companies. In this paper we describe the initial steps on a new business initiative and how the ecosystem starts developing around the core. We use action research approach in one case of building joint service, sports receipt, for health exercise and wellbeing markets. The research paper concludes with an ecosystem mode peerReviewed
Ecosystem Under Construction: An Action Research Study on Entrepreneurship in a Business Ecosystem
2012
In recent years, we have seen increasing interest in new service concepts that take advantage of the capabilities of business ecosystems instead of single companies. In this article, we describe how a business ecosystem begins to develop around a service business idea proposed by an entrepreneur. We aim to recognize the different domains of players that are or should be involved in the ecosystem while it is under construction. The article concludes with an ecosystem model consisting of six sub-ecosystems having different change drivers and clockspeeds. All great things are based on a series of small things, and all the small things need hard work.
The contribution of "spontaneous" health care networks to improving outcomes: Opportunities and challenges from the perspective of planning and contr…
2019
The article aims to explore how Planning Control systems may support network-oriented policy-making in the health care sector. This work examines the case of ISMETT (Mediterranean Institute for high specialized transplants and therapies), a Sicilian hospital established in 1998 to provide high specialized and complex transplants and therapies. ISMETT pertains to several networks and it has a long-time experience in establishing and governing such inter-organizational relationships. The analysis of the case illustrates how health care networks may contribute to improve health and generate social and economic outcomes for the community.