scholarly journals Evaluation of the Feasibility of Parametric Estimation in Devops Continuous Planning

2021 ◽  
Vol 9 (9) ◽  
pp. 542-546
Author(s):  
Dr. Diwakar Ramanuj Tripathi
Keyword(s):  
Development Process ◽  
State Of The Art ◽  
Value Added ◽  
The State ◽  
Parametric Estimation ◽  
Effort Estimation ◽  
Continuous Testing ◽  
Exploratory Testing ◽  
The Cost ◽  
Parametric Estimate

Abstract: DevOps aims to shorten project schedules, boost productivity, and manage quick development-deployment cycles without compromising business or quality. It necessitates good sprint management. Continuous Testing detects integration issues considerably earlier in the development process. It reduces the cost of defect resolution and frees up the tester's time for exploratory testing and value-added activities. Continuous testing allows for more frequent, shorter, and more efficient releases. It ties people, technology, and processes together. Continuous Planning, particularly effort estimation, is closely linked to Continuous Testing. This paper examines the state of the art in DevOps parametric estimate in continuous planning, as well as the difficulties and best practises. Keywords: Project, Testing, Continuous, Planning

scholarly journals Solving Delete Free Planning with Relaxed Decision Diagram Based Heuristics

2020 ◽  
Vol 67 ◽  
pp. 607-651
Author(s):  
Margarita Paz Castro ◽  
Chiara Piacentini ◽  
Andre Augusto Cire ◽  
J. Christopher Beck
Keyword(s):  
Linear Programming ◽  
Empirical Analysis ◽  
State Of The Art ◽  
The State ◽  
Decision Diagrams ◽  
Binary Decision ◽  
Admissible Heuristics ◽  
The Cost ◽  
Construction Algorithms ◽  
Diagram Representation

We investigate the use of relaxed decision diagrams (DDs) for computing admissible heuristics for the cost-optimal delete-free planning (DFP) problem. Our main contributions are the introduction of two novel DD encodings for a DFP task: a multivalued decision diagram that includes the sequencing aspect of the problem and a binary decision diagram representation of its sequential relaxation. We present construction algorithms for each DD that leverage these different perspectives of the DFP task and provide theoretical and empirical analyses of the associated heuristics. We further show that relaxed DDs can be used beyond heuristic computation to extract delete-free plans, find action landmarks, and identify redundant actions. Our empirical analysis shows that while DD-based heuristics trail the state of the art, even small relaxed DDs are competitive with the linear programming heuristic for the DFP task, thus, revealing novel ways of designing admissible heuristics.

The Impact of Consolidated Value Added Taxation on Innovation and Investment Processes: European Experience and Prospects for Ukraine

2021 ◽  
Vol 17 ◽  
pp. 321-331
Author(s):  
Viktoriia Rudenko ◽  
Ruslan Voloshchuk ◽  
Viktor Melnyk ◽  
Oksana Tsiupa
Keyword(s):  
Quantitative Methods ◽  
Value Added ◽  
The State ◽  
European Countries ◽  
Value Added Tax ◽  
Tax System ◽  
Advantages And Disadvantages ◽  
European Experience ◽  
The Cost ◽  
The Impact

Today Ukraine is on the path to European integration, which requires the introduction of the best practices of European countries, including in terms of taxation of consolidated groups of enterprises. At present, in European countries, consolidated value added taxation is one of the ways to solve the problem of reducing the tax burden on business, providing enterprises with additional investment resources and stimulating their innovative development. In addition, the consolidated tax system reduces the cost of tax administration for both the state and business. Therefore, the issue of introducing value added tax is relevant for Ukrainian practice. The purpose of the research is to study the content and determine the specifics of consolidated value added taxation in European countries and to consider the possibilities of its application in Ukraine for innovation and investment processes intensifying. The specifics of the scientific tasks that are the subject of the study required the use of a set of special methods, the application of which helped to analyze the impact of consolidated value added taxation on innovation and investment processes in European countries. The study was conducted using quantitative methods, including comparative analysis, and qualitative methods, including case study. The study identified the essence and basic principles of consolidated value added taxation. Two types of consolidated VAT taxation in European countries are analyzed: the regime of full consolidation and the regime of partial consolidation. The advantages and disadvantages of consolidated VAT taxation for the state and taxpayers are substantiated. It was found out that in European countries, consolidated value added tax is aimed at improving the conditions of doing business and providing taxpayers with additional opportunities to apply special tax rules. As a result of the study, it was proved that the introduction of approaches in Ukraine that correspond to the European experience of consolidated VAT taxation will help to solve important tasks of bringing its tax system closer to foreign standards and intensifying innovation and investment processes at the micro- and macro levels.

Materials for intraocular lenses (IOLs): Review of developments to achieve biocompatibility

e-Polymers ◽  
2009 ◽  
Vol 9 (1) ◽  
Author(s):  
D. Tripti ◽  
R.S. Haldar ◽  
S. Geetha ◽  
U.K. Niyogi ◽  
R.K. Khandal
Keyword(s):  
Development Process ◽  
State Of The Art ◽  
Intraocular Lenses ◽  
Biomedical Devices ◽  
New Materials ◽  
Recent Developments ◽  
Material Sciences ◽  
And Performance ◽  
Materials Used ◽  
The Cost

AbstractIt is true that the developments in material sciences along with the improvements in various aspects of technology involved in transforming materials into products, over the years, have been responsible for making many of the impossible-looking devices possible. It is also a fact that the demand for a new, improved and better material has never ended; in fact it has been increasing to a greater degree and with bigger dimensions than ever before, especially in recent times. As a matter of fact, for certain advanced applications, the need for efforts to have new materials can never be over emphasized; for example, in the area of biomedical devices such as intraocular lens (IOL). The advances in the field of bio-medical applications require the materials of high quality meeting stringent norms of performance. For implants such as the ones like IOL used for correction of vision of the eyes, besides the quality and performance of materials, biocompatibility is an issue of major concern. The material scientists have been working on the development of materials for IOLs targeting the needs arising out of the developing countries. The challenges include not only to bring down the cost of the materials used for IOLs but also to increase the biocompatibility of IOLs. For making the development process easy and bringing the state-of-the- art of knowledge to those looking for new materials, it is thought necessary to review various facets of IOLs in the present paper. Not only the aspects related to the recent developments in biomedical devices of eye care but also related to the properties of available materials vis a vis the deficiencies in properties of existing materials have been covered in this review. The aim has been to bring out the gap areas at various levels of process of product chain starting from the monomer to polymer, blank to IOL, insertion of IOL into eyes to life cycle of IOLs, mainly to provide certain possible and feasible leads to meet the challenges of making new and more biocompatible materials.

scholarly journals SecNVM: An Efficient and Write-Friendly Metadata Crash Consistency Scheme for Secure NVM

2022 ◽  
Vol 19 (1) ◽  
pp. 1-26
Author(s):  
Mengya Lei ◽  
Fan Li ◽  
Fang Wang ◽  
Dan Feng ◽  
Xiaomin Zou ◽  
...  
Keyword(s):  
Data Security ◽  
Recovery Time ◽  
State Of The Art ◽  
The State ◽  
Fast Recovery ◽  
Non Volatile Memory ◽  
User Data ◽  
Metadata Cache ◽  
Volatile Memory ◽  
The Cost

Data security is an indispensable part of non-volatile memory (NVM) systems. However, implementing data security efficiently on NVM is challenging, since we have to guarantee the consistency of user data and the related security metadata. Existing consistency schemes ignore the recoverability of the SGX style integrity tree (SIT) and the access correlation between metadata blocks, thereby generating unnecessary NVM write traffic. In this article, we propose SecNVM, an efficient and write-friendly metadata crash consistency scheme for secure NVM. SecNVM utilizes the observation that for a lazily updated SIT, the lost tree nodes after a crash can be recovered by the corresponding child nodes in NVM. It reduces the SIT persistency overhead through a restrained write-back metadata cache and exploits the SIT inter-layer dependency for recovery. Next, leveraging the strong access correlation between the counter and DMAC, SecNVM improves the efficiency of security metadata access through a novel collaborative counter-DMAC scheme. In addition, it adopts a lightweight address tracker to reduce the cost of address tracking for fast recovery. Experiments show that compared to the state-of-the-art schemes, SecNVM improves the performance and decreases write traffic a lot, and achieves an acceptable recovery time.

scholarly journals Robustness Certificates for Sparse Adversarial Attacks by Randomized Ablation

2020 ◽  
Vol 34 (04) ◽  
pp. 4585-4593
Author(s):  
Alexander Levine ◽  
Soheil Feizi
Keyword(s):  
Classification Accuracy ◽  
Additive Noise ◽  
State Of The Art ◽  
Random Noise ◽  
The State ◽  
Threat Model ◽  
Robust Classification ◽  
Supplementary Material ◽  
The Cost ◽  
L1 And L2

Recently, techniques have been developed to provably guarantee the robustness of a classifier to adversarial perturbations of bounded L1 and L2 magnitudes by using randomized smoothing: the robust classification is a consensus of base classifications on randomly noised samples where the noise is additive. In this paper, we extend this technique to the L0 threat model. We propose an efficient and certifiably robust defense against sparse adversarial attacks by randomly ablating input features, rather than using additive noise. Experimentally, on MNIST, we can certify the classifications of over 50% of images to be robust to any distortion of at most 8 pixels. This is comparable to the observed empirical robustness of unprotected classifiers on MNIST to modern L0 attacks, demonstrating the tightness of the proposed robustness certificate. We also evaluate our certificate on ImageNet and CIFAR-10. Our certificates represent an improvement on those provided in a concurrent work (Lee et al. 2019) which uses random noise rather than ablation (median certificates of 8 pixels versus 4 pixels on MNIST; 16 pixels versus 1 pixel on ImageNet.) Additionally, we empirically demonstrate that our classifier is highly robust to modern sparse adversarial attacks on MNIST. Our classifications are robust, in median, to adversarial perturbations of up to 31 pixels, compared to 22 pixels reported as the state-of-the-art defense, at the cost of a slight decrease (around 2.3%) in the classification accuracy. Code and supplementary material is available at https://github.com/alevine0/randomizedAblation/.

scholarly journals Rainbow on Cortex-M4

2021 ◽  
pp. 650-675
Author(s):  
Tung Chou ◽  
Matthias J. Kannwischer ◽  
Bo-Yin Yang
Keyword(s):  
State Of The Art ◽  
The State ◽  
Constant Time ◽  
Secret Key ◽  
The Public ◽  
The Cost

We present the first Cortex-M4 implementation of the NISTPQC signature finalist Rainbow. We target the Giant Gecko EFM32GG11B which comes with 512 kB of RAM which can easily accommodate the keys of RainbowI.We present fast constant-time bitsliced F16 multiplication allowing multiplication of 32 field elements in 32 clock cycles. Additionally, we introduce a new way of computing the public map P in the verification procedure allowing vastly faster signature verification.Both the signing and verification procedures of our implementation are by far the fastest among the NISTPQC signature finalists. Signing of rainbowIclassic requires roughly 957 000 clock cycles which is 4× faster than the state of the art Dilithium2 implementation and 45× faster than Falcon-512. Verification needs about 239 000 cycles which is 5× and 2× faster respectively. The cost of signing can be further decreased by 20% when storing the secret key in a bitsliced representation.

scholarly journals FAST Pre-Filtering-Based Real Time Road Sign Detection for Low-Cost Vehicle Localization

Sensors ◽  
2018 ◽  
Vol 18 (10) ◽  
pp. 3590 ◽  
Author(s):  
Kyoungtaek Choi ◽  
Jae Kyu Suhr ◽  
Ho Gi Jung
Keyword(s):  
Embedded System ◽  
Processing Time ◽  
State Of The Art ◽  
Low Cost ◽  
Position Estimation ◽  
The State ◽  
Vehicle Localization ◽  
Localization System ◽  
Road Sign ◽  
The Cost

In order to overcome the limitations of GNSS/INS and to keep the cost affordable for mass-produced vehicles, a precise localization system fusing the estimated vehicle positions from low-cost GNSS/INS and low-cost perception sensors is being developed. For vehicle position estimation, a perception sensor detects a road facility and uses it as a landmark. For this localization system, this paper proposes a method to detect a road sign as a landmark using a monocular camera whose cost is relatively low compared to other perception sensors. Since the inside pattern and aspect ratio of a road sign are various, the proposed method is based on the part-based approach that detects corners and combines them to detect a road sign. While the recall, precision, and processing time of the state of the art detector based on a convolutional neural network are 99.63%, 98.16%, and 4802 ms respectively, the recall, precision, and processing time of the proposed method are 97.48%, 98.78%, and 66.7 ms, respectively. The detection performance of the proposed method is as good as that of the state of the art detector and its processing time is drastically reduced to be applicable for an embedded system.

scholarly journals Deployment of Prognostics to Optimize Aircraft Maintenance – A Literature Review

2020 ◽  
Vol 5 (4) ◽  
pp. 26-37
Author(s):  
J.P. Sprong ◽  
X. Jiang ◽  
H. Polinder
Keyword(s):  
State Of The Art ◽  
The State ◽  
Remaining Useful Life ◽  
Aircraft Maintenance ◽  
Research Gaps ◽  
Commercial Aviation ◽  
Operational Costs ◽  
Challenges And Opportunities ◽  
Useful Life ◽  
The Cost

Historic records show that the cost of operating and supporting an aircraft may exceed the initial purchase price as much as ten times. Maintenance, repair and overhaul activities rep- resent around 10-15% of an airlines annual operational costs. Therefore, optimization of maintenance operations to minimize cost is extremely important for airlines in order to stay competitive. Prognostics, a process to predict remaining useful life of systems and/ or components suffering from aging or degradation, has been recognized as one of the revolutionary disciplines that can improve efficiency of aircraft operations and optimize aircraft maintenance. This study focuses on literature that has used prognostics to optimize aircraft maintenance and identifies research gaps for further optimization of aircraft maintenance in commercial aviation. In this paper, the origin and development of prognostics is firstly introduced. Thereafter, the state of art of aircraft maintenance is reviewed. Next, the applicability of prognostics to optimize aircraft maintenance is explained, reviewed, and potential challenges and opportunities are explored. Finally, the state-of-the-art of prognostics in aircraft maintenance is dis- cussed and research gaps are identified in perspective of the deployment of prognostics to optimize aircraft maintenance.

Effort Estimation in Agile Software Development: An Updated Review

2018 ◽  
Vol 28 (11n12) ◽  
pp. 1811-1831 ◽  
Author(s):  
Emanuel Dantas ◽  
Mirko Perkusich ◽  
Ednaldo Dilorenzo ◽  
Danilo F. S. Santos ◽  
Hyggo Almeida ◽  
...  
Keyword(s):  
Software Development ◽  
State Of The Art ◽  
Agile Software Development ◽  
The State ◽  
Development Effort ◽  
Software Project ◽  
Effort Estimation ◽  
Cost Drivers ◽  
Machine Learning Methods ◽  
Agile Software

One of the main issues of an agile software project is how to accurately estimate development effort. In 2014, a Systematic Literature Review (SLR) regarding this subject was published. The authors concluded that there were several gaps in the literature, such as the low level of accuracy of the techniques and little consensus on appropriate cost drivers. The goal of our work is to provide an updated review of the state of the art based on this reference SLR work. We applied a Forward Snowballing approach, in which our seed set included the former SLR and its selected papers. We identified a strong indication of solutions based on Artificial Intelligence and Machine Learning methods for effort estimation in Agile Software Development (ASD). We also identified that there is a gap in terms of agreement on suitable cost drivers. Thus, we applied Thematic Analysis in the selected papers and identified a representative set of 10 cost drivers for effort estimation. This updated review of the state of the art resulted in 24 new relevant papers selected.

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