scholarly journals Secure Multiparty Computation via Oblivious Polynomial Evaluation

2013 ◽  
pp. 253-278
Author(s):  
Mert Özarar ◽  
Attila Özgit
Keyword(s):  
Secure Multiparty Computation ◽  
Future Research ◽  
Primary Concern ◽  
Multiparty Computation ◽  
Polynomial Evaluation ◽  
Oblivious Polynomial Evaluation ◽  
Private Data ◽  
Significant Research ◽  
Critical Issues ◽  
Combinational Logic Circuits

The number of opportunities for cooperative computation has exponentially been increasing with growing interaction via Internet technologies. These computations could occur between almost trusted partners, between partially trusted partners, or even between competitors. Most of the time, the communicating parties may not want to disclose their private data to the other principal while taking the advantage of collaboration, hence concentrating on the results rather than private data values. For performing such computations, one party must know inputs from all the participants; however, if none of the parties can be trusted enough to know all the inputs, privacy will become a primary concern. Hence, the techniques for Secure Multiparty Computation (SMC) are quite relevant and practical to overcome such kind of privacy gaps. The subject of SMC has evolved from earlier solutions of combinational logic circuits to the recent proposals of anonymity-enabled computation. In this chapter, the authors put together the significant research that has been carried out on SMC. They demonstrate the concept by concentrating on a specific technique called Oblivious Polynomial Evaluation (OPE) together with concrete examples. The authors put critical issues and challenges and the level of adaptation achieved before the researchers. They also provide some future research proposals based on the literature survey.

Secure multiparty computation solutions of collection member decision

2013 ◽  
Vol 33 (12) ◽  
pp. 3527-3530
Author(s):  
Yongli DOU ◽  
Haichun WANG ◽  
Jian KANG
Keyword(s):  
Secure Multiparty Computation ◽  
Multiparty Computation

The Importance of the Posterolateral Area of the Diaphragm Muscle for Palpation and for the Treatment of Manual Osteopathic Medicine

2021 ◽  
pp. 1-9
Author(s):  
Bruno Bordoni ◽  
Stevan Walkowski ◽  
Allan Escher ◽  
Bruno Ducoux
Keyword(s):  
Functional Anatomy ◽  
Diaphragm Muscle ◽  
Physiological Data ◽  
Future Research ◽  
Physical Aspect ◽  
Osteopathic Medicine ◽  
Self Healing ◽  
Hands On ◽  
Critical Issues ◽  
Solid Foundation

The eupneic act in healthy subjects involves a coordinated combination of functional anatomy and neurological activation. Neurologically, a central pattern generator, the components of which are distributed between the brainstem and the spinal cord, are hypothesized to drive the process and are modeled mathematically. A functionally anatomical approach is easier to understand although just as complex. Osteopathic manipulative treatment (OMT) is part of osteopathic medicine, which has many manual techniques to approach the human body, trying to improve the patient’s homeostatic response. The principle on which OMT is based is the stimulation of self-healing processes, researching the intrinsic physiological mechanisms of the person, taking into consideration not only the physical aspect, but also the emotional one and the context in which the patient lives. This article reviews how the diaphragm muscle moves, with a brief discussion on anatomy and the respiratory neural network. The goal is to highlight the critical issues of OMT on the correct positioning of the hands on the posterolateral area of the diaphragm around the diaphragm, trying to respect the existing scientific anatomical-physiological data, and laying a solid foundation for improving the data obtainable from future research. The correctness of the position of the operator’s hands in this area allows a more effective palpatory perception and, consequently, a probably more incisive result on the respiratory function.

scholarly journals A Survey on Deep Learning Based Methods and Datasets for Monocular 3D Object Detection

Electronics ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 517
Author(s):  
Seong-heum Kim ◽  
Youngbae Hwang
Keyword(s):  
Deep Learning ◽  
Object Detection ◽  
Low Cost ◽  
Detection Methods ◽  
Future Research ◽  
3D Object ◽  
Practical Applications ◽  
Depth Sensors ◽  
Significant Research ◽  
3D Object Detection

Owing to recent advancements in deep learning methods and relevant databases, it is becoming increasingly easier to recognize 3D objects using only RGB images from single viewpoints. This study investigates the major breakthroughs and current progress in deep learning-based monocular 3D object detection. For relatively low-cost data acquisition systems without depth sensors or cameras at multiple viewpoints, we first consider existing databases with 2D RGB photos and their relevant attributes. Based on this simple sensor modality for practical applications, deep learning-based monocular 3D object detection methods that overcome significant research challenges are categorized and summarized. We present the key concepts and detailed descriptions of representative single-stage and multiple-stage detection solutions. In addition, we discuss the effectiveness of the detection models on their baseline benchmarks. Finally, we explore several directions for future research on monocular 3D object detection.

scholarly journals Sustainable Waste Management Innovations in Africa: New Perspectives and Research Agenda for Improving Global Health

2021 ◽  
Vol 13 (12) ◽  
pp. 6646
Author(s):  
Frederick Ahen ◽  
Joseph Amankwah-Amoah
Keyword(s):  
Waste Management ◽  
Future Research ◽  
Limited Attention ◽  
Business Practices ◽  
Sustainable Waste Management ◽  
Production And Consumption ◽  
Incorrect Diagnosis ◽  
Critical Issues ◽  
Green Business ◽  
Research Questions

The need for green business practices and green innovations underscores a growing recognition that climate change is now an existential threat not just to population health but also to the survival of businesses that are unable to embrace green practices with a sense of urgency. This paper contributes to the literature on market violence as an inhibitor of green innovations for sustainable waste management to curb the unneeded health effects of wastes in Africa. Our purpose is to problematize received wisdom, unquestioned assumptions, and incorrect diagnosis of the sources and health consequences of various forms of wastes in Africa. Much of the discourse on this issue remains ahistorical, and that risks leaving aside a vital question of exploitative extraction. By including this ‘out-of-the-box’ explanation through major case references, we are able to shed light on the critical issues that have hitherto received limited attention, thus enabling us to propose useful research questions for future enquiries. We propose a framework that delineates the structural composition of costs imposed by market violence that ranges from extraction to e-waste disposal. We advocate for the engineering of policies that create conditions for doing more with less resources, eliminating waste, and recycling as crucial steps in creating sustainable waste management innovations. Additionally, we highlight a set of fundamental issues regarding enablers and inhibitors of sustainable innovations and policies for waste management worth considering for future research. These include programmed obsolescence, irresponsible extraction, production, and consumption, all seen through the theoretical lens of market violence.

The Entrepreneurship Educator: Understanding Role Identity

2020 ◽  
pp. 251512742097966
Author(s):  
Birgitte Wraae ◽  
Candida Brush ◽  
Shahrokh Nikou
Keyword(s):  
Role Identity ◽  
Future Research ◽  
Analysis Tool ◽  
Perceptions Of Students ◽  
Significant Research ◽  
Future Research Directions ◽  
The Relationship ◽  
Role Identity Theory ◽  
Depth Interviews

Significant research explores effectiveness of entrepreneurial curriculum, teaching innovations and programs, but less often studied is the role of entrepreneurship educators. The way that the educator sees his or her role relative to the students is of critical importance because this directly influences pedagogy choices, expectations for students and learning outcomes, as well as job satisfaction. While recent studies propose typologies characterizing pedagogical approaches of educators, few of these are based on the data from entrepreneurship educators. Framed within role identity theory, we conducted 13 in–depth interviews to examine how entrepreneurship educators perceive their role. Using the qualitative data analysis tool (NVivo), we analyzed how the relationship between their perceptions of their role and core value orientation is connected to teaching approaches. Results show that these educators view their roles as teacher-focused, network-focused, or student-focused and that these perspectives are associated with different perceptions of students’ role and learning objectives. Further, we find different levels of emphasis on roles and that personal core values are differentially linked to these roles. Implications and future research directions are discussed.

scholarly journals Prepare for Impact? Reflecting on Knowledge Exchange Work to Improve Services for Older LGBT People in Times of Austerity

2013 ◽  
Vol 14 (1) ◽  
pp. 15-27 ◽  
Author(s):  
Andrew King
Keyword(s):  
Local Government ◽  
Knowledge Exchange ◽  
Future Research ◽  
Local Government Authority ◽  
Critical Issues ◽  
Economic Austerity ◽  
Lgbt People ◽  
Government Authority

This article reflects on the experience of undertaking a knowledge exchange project with a local government authority to improve services for older lesbian, gay, bisexual and trans (LGBT) adults. It frames this project in terms of local government equality work, existing research and initiatives concerning older LGBT people and the coming of austerity. The project methodology is detailed, including discussion of the generation and measurement of impact. Some critical issues that arose during the project are considered, including suggestions that these may have been related to economic austerity. The article concludes that although knowledge exchange work with older LGBT people faces challenges in such times, future research and initiatives are warranted.

scholarly journals Efficient Secure Multiparty Computation Protocol for Sequencing Problem over Insecure Channel

2013 ◽  
Vol 2013 ◽  
pp. 1-5 ◽  
Author(s):  
Yi Sun ◽  
Qiaoyan Wen ◽  
Yudong Zhang ◽  
Hua Zhang ◽  
Zhengping Jin
Keyword(s):  
Homomorphic Encryption ◽  
Privacy Preserving ◽  
Secure Multiparty Computation ◽  
Online Auction ◽  
Multiparty Computation ◽  
Sequencing Problem ◽  
The Core ◽  
Secure Protocol ◽  
Core Issue

As a powerful tool in solving privacy preserving cooperative problems, secure multiparty computation is more and more popular in electronic bidding, anonymous voting, and online auction. Privacy preserving sequencing problem which is an essential link is regarded as the core issue in these applications. However, due to the difficulties of solving multiparty privacy preserving sequencing problem, related secure protocol is extremely rare. In order to break this deadlock, this paper first presents an efficient secure multiparty computation protocol for the general privacy-preserving sequencing problem based on symmetric homomorphic encryption. The result is of value not only in theory, but also in practice.

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