4,199 research outputs found
Almost sure convergence of the forward–backward–forward splitting algorithm
No full textIn this paper, we propose a stochastic forward–backward–forward splitting algorithm and prove its almost sure weak convergence in real separable Hilbert spaces. Applications to composite monotone inclusion and minimization problems are demonstrated
Inertial Three-Operator Splitting Method and Applications
No full textWe introduce an inertial variant of the forward-Douglas-Rachford splitting and analyze its convergence. We specify an instance of the proposed method to the three-composite convex minimization template. We provide practical guidance on the selection of the inertial parameter based on the adaptive starting idea. Finally, we illustrate the practical performance of our method in various machine learning applications.LIONSThis work is presented at SIAM Conference on Optimization (OP17) in Vancouver, British Columbia, Canada on the 23rd of May 2017 by Bang Cong Vu
sj-docx-1-npx-10.1177_1934578X231208348 - Supplemental material for Characterization and Evaluation of the In Vitro Antioxidant, α-Glucosidase Inhibitory Activities of <i>Camellia longii</i> Orel and Luu. (Theaceae) Flower Essential Oil and Extracts From Vietnam
No full textSupplemental material, sj-docx-1-npx-10.1177_1934578X231208348 for Characterization and Evaluation of the In Vitro Antioxidant, α-Glucosidase Inhibitory Activities of Camellia longii Orel and Luu. (Theaceae) Flower Essential Oil and Extracts From Vietnam by Hieu Tran-Trung, Thi Chung Nguyen, Vo Cong Dung, Hieu Nguyen Ngoc, Dang Khoa Nguyen, Danh Cong Vu, Son Dang Van, Quynh Anh Thai Nguyen, Trang Ha Dieu Nguyen, Vo Mong Tham and Xuan Duc Dau in Natural Product Communications</p
An Analysis of Collaborative Attacks on Mobile Ad hoc Networks
No full textA Mobile Ad hoc Network (MANET) consists of a set of communicating wireless mobile nodes or devices that do not have any form of fixed infrastructure or centralized authority. The security in MANET has become a significant and active topic within the research community. This is because of high demand in sharing streaming video and audio in various applications, one MANET could be setup quickly to facilitate communications in a hostile environment such as battlefield or emergency situation likes disaster rescue operation. In spite of the several attacks aimed at specific nodes in MANET that have been uncovered, some attacks involving multiple nodes still receive little attention. A reason behind this is because people make use of security mechanisms applicable to wired networks in MANET and overlook the security measures that apply to MANET. Furthermore, it may also have to do with the fact that no survey or taxonomy has been done to clarify the characteristics of different multiple node attacks. This thesis addresses the aforementioned gap by providing a proper definition and categorization of collaborative attacks against MANET from the various multiple node attacks found. Simulation using OPNET Modeler was used to investigate the performance impact of a collaborative blackhole attack on a mobile ad hoc network. Network throughput, packet delivery ratio and end-to-end delay are the performance metrics used in our result analysis. Based on the analyses of performance metrics made, we realised the consequences of a collaborative blackhole attack on MANET. In order to prevent or reduce these consequences, we also discuss a number of mitigation plans to counteract the different kinds of collaborative attacks. Keywords: MANET, Collaborative Attacks, Multiple Node, Blackhole.Contact Information: Author(s): Cong Hoan Vu Address: Folkparksvägen 19:08, 372 40 Ronneby, Sweden. E-mail: [email protected] Adeyinka Soneye Address: Polhemsgatan 27B, LGH 30, 371 40 Karlskrona, Sweden. E-mail: [email protected]
On the use of prior and external knowledge in neural sequence models
No full text© 2019 Dr. Cong Duy Vu HoangNeural sequence models have recently achieved great success across various natural language processing tasks. In practice, neural sequence models require massive amount of annotated training data to reach their desirable performance; however, there will not always be available data across languages, domains or tasks at hand. Prior and external knowledge provides additional contextual information, potentially improving the modelling performance as well as compensating the lack of large training data, particular in low-resourced situations. In this thesis, we investigate the usefulness of utilising prior and external knowledge for improving neural sequence models. We propose the use of various kinds of prior and external knowledge and present different approaches for integrating them into both training and inference phases of neural sequence models. The followings are main contributions of this thesis which are summarised in two major parts:
We present the first part of this thesis which is on Training and Modelling for neural sequence models. In this part, we investigate different situations (particularly in low resource settings) in which prior and external knowledge, such as side information, linguistic factors, monolingual data, is shown to have great benefits for improving performance of neural sequence models. In addition, we introduce a new means for incorporating prior and external knowledge based on the moment matching framework. This framework serves its purpose for exploiting prior and external knowledge as global features of generated sequences in neural sequence models in order to improve the overall quality of the desired output sequence.
The second part is about Decoding of neural sequence models in which we propose a novel decoding framework with relaxed continuous optimisation in order to address one of the drawbacks of existing approximate decoding methods, namely the limited ability to incorporate global factors due to intractable search.
We hope that this PhD thesis, constituted by two above major parts, will shed light on the use of prior and external knowledge in neural sequence models, both in their training and decoding phases
A breakthrough with multifunctional unbreachable dykes: A case study analysis to enable implementation of multifunctional unbreachable dykes to increase cost-effectiveness of Dutch flood protection
No full textThe Netherlands is not well protected against flooding and limited budget it available for improvements. Therefore, this research investigates in what way the cost-effectiveness of Dutch flood protection can be improved with the use of multifunctional unbreachable dykes. The multifunctional unbreachable dyke, a dyke combined with additional user functions such as buildings, nature and recreation, is found to be an appropriate measure to improve cost-effectiveness of Dutch flood protection. Three challenges (assessment tools, funding and institutional organization) are determined from earlier research that make implementation of multifunctional unbreachable dykes difficult. With the use of case study analysis of ten cases it turned out that these challenges not only can cause failure of implementation, they can also contribute to cost-ineffective applicatio
The Role of Technology, Investment and Ownership Structure in the Productivity Performance of the Manufacturing Sector in Vietnam
No full textThis paper explores the productivity performance of the manufacturing sector in Vietnam between 2001 and 2007. Total Factor Productivity indices are computed using an index number approach and the productivity performance of manufacturing sub-sectors is analysed. We find that productivity increases in almost all sectors and that for many sectors the dispersion in productivity is declining over time. However, for the most productive sectors the gap is widening suggesting that productivity is being driven by the most productive enterprises getting better, leaving the least productive behind. The empirical analysis reveals investment and technology usage as important determinants of enterprise productivity levels. Specifically, higher levels of productivity are found in foreign- and state-owned enterprises, driven almost entirely by higher levels of investment and technology usage. Our results provide a strong quantitative basis in support of ongoing government initiatives aimed at encouraging investment in technology and innovation. They also point to the clear need for such initiatives to be complemented by measures to provide a more balanced distribution of investment, such that a level playing field is created for the different types of enterprises.
Consequences of responsibility ambiguity and role conflict on teamwork effectiveness
No full textPurpose of the present thesis is to figure out and to understand the consequences of ambiguous factor in responsibility and role conflict on a result of teamwork performance. As a team, individual roles and responsibilities play a part of contribution of effectiveness and has considerably an impact on their performance. Furthermore, responsibility and role are a milestone composed for a team and hence any negative forces in the beginning of responsibility and role delegation significantly yields different results indirectly or directly. The study is inspired from social cognitive theory of self-regulation theory and author’s observation from working life and collection of discussion from interviews.
The thesis aims to deliver a fact of responsibility ambiguity and role conflict which is existed in teamwork and to give an evidence of a tight relationship between role, responsibility and teamwork effectiveness. And an effectiveness is focused on communication, decision making, teamwork process and working satisfaction factor within a teamwork
This thesis is a precious opportunity for either the author or readers to understand an aspect of effective cooperation and eliminate any potential risks in the result of responsibility ambiguity and role conflict
Giu COVID an toan cho nguoi lao dong doi hoi nhieu hon la chi tuan theo cac lenh y te cong cong
No full textCho den nay trong dai dich, loi khuyen ve suc khoe cong dong cua nha nuoc da tro thanh trung tam cua thong diep cong khai ve viec bao ve cong dong khoi su lay lan cua COVID-19. Nhung chi tuan theo cac lenh y te cong cong se khong nhat thiet phai dap ung cac nghia vu cua nguoi su dung lao dong de bao ve nhan vien khoi COVID, dac biet la khi cac han che de dang o cac bang mien Dong. Tat nhien, bao ve nhan vien khoi COVID la tot cho nhan vien va cung tot cho to chuc vi no se giam kha nang nhan vien bi om. Chi rieng viec tiem phong se khong dam bao mot noi lam viec an toan COVID. Ngay ca nhung nguoi duoc tiem phong hai lan cung co the bi nhiem benh. Tiem phong giam nguy co lay nhiem tu 60% (AstraZeneca) den 80% (Pfizer). Va nhung nguoi duoc tiem phong hai lan cung co the truyen vi rut, mac du mot lan nua voi ty le thap hon nhieu
Teaching Signal Processing to the Medical Profession
No full textKnowledge of signal processing is very important for medical students. A medical signal may be used for monitoring, constructing an image, or for extracting the numerical quantity of a parameter. This information forms a basis for medical decisions. However, the processing of the signal may lead to distortion and an incorrect interpretation. The present article describes an educational practical for first year medical students. It uses the electrocardiogram, which can be obtained easily, as a convenient example of a medical signal. The practical was developed at the VU University Amsterdam and summarizes the elementary concepts of signal processing
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