scholarly journals Rock-Paper-Scissors-Hammer: A Tie-Less Decentralized Protocol for IoT Resource Allocation

IoT ◽  
2021 ◽  
Vol 2 (2) ◽  
pp. 341-354
Author(s):  
Sandip Dutta
Keyword(s):  
Message Passing ◽  
Rapid Development ◽  
Third Party ◽  
Archival Data ◽  
New Paradigm ◽  
Record Keeping ◽  
Local Decision ◽  
Local Decision Making ◽  
Conflict Resolutions ◽  
Detailed Record

With the rapid development of the autonomous world, local decision making between devices is becoming important. This article provides a new paradigm (Rock-Paper-Scissors-Hammer: RPSH) that can reduce the number of conflicts or decision draws and thus increase the throughput of autonomous devices while reducing the kept number of records or transactions. The paradigm requires a sealed envelope protocol and sequential message passing between both parties to decide unanimously a winner between the two participants without a third-party mediation. The message passing proposes a detailed record in a blockchain-like format that is not corruptible and is verifiable for conflict resolution. A simulated IoT environment is created to show the advantage of the proposed protocol and it shows significant reduction in mean efforts due to the elimination of draws or undecided situations. Autonomous devices, such as cars, need to maintain meticulous, lightweight, but blockchain-like record keeping for insurance settlements or conflict resolutions; that archival data size is significantly reduced by the RPSH protocol.

The Veil of Bureaucracy: How Officials Evade Partisan Politics in Participatory Settings

2021 ◽  
pp. 232949652110288
Author(s):  
Meaghan Stiman
Keyword(s):  
Decision Making ◽  
Political Ideology ◽  
Partisan Politics ◽  
Community Voice ◽  
Political Debates ◽  
Local Decision ◽  
Decision Making Processes ◽  
The Veil ◽  
Local Decision Making ◽  
Do So

In theory, participatory democracies are thought to empower citizens in local decision-making processes. However, in practice, community voice is rarely representative, and even in cases of equal representation, citizens are often disempowered through bureaucratic processes. Drawing on the case of a firearm discharge debate from a rural county’s municipal meetings in Virginia, I extend research about how power operates in participatory settings. Partisan political ideology fueled the debate amongst constituents in expected ways, wherein citizens engaged collectivist and individualist frames to sway the county municipal board ( Celinska 2007 ). However, it was a third frame that ultimately explains the ordinance’s repeal: the bureaucratic frame, an ideological orientation to participatory processes that defers decision-making to disembodied abstract rules and procedures. This frame derives its power from its depoliticization potential, allowing bureaucrats to evade contentious political debates. Whoever is best able to wield this frame not only depoliticizes the debate to gain rationalized legitimacy but can do so in such a way to favor a partisan agenda. This study advances gun research and participatory democracy research by analyzing how the bureaucratic frame, which veils partisanship, offers an alternative political possibility for elected officials, community leaders, and citizens to adjudicate partisan debates.

scholarly journals Mobile Networks and Internet of Things Infrastructures to Characterize Smart Human Mobility

Smart Cities ◽  
2021 ◽  
Vol 4 (2) ◽  
pp. 894-918
Author(s):  
Luís Rosa ◽  
Fábio Silva ◽  
Cesar Analide
Keyword(s):  
Internet Of Things ◽  
Mobile Networks ◽  
Smart Cities ◽  
Human Mobility ◽  
Rapid Development ◽  
Disruptive Technology ◽  
New Paradigm ◽  
Design And Optimization ◽  
High Level

The evolution of Mobile Networks and Internet of Things (IoT) architectures allows one to rethink the way smart cities infrastructures are designed and managed, and solve a number of problems in terms of human mobility. The territories that adopt the sensoring era can take advantage of this disruptive technology to improve the quality of mobility of their citizens and the rationalization of their resources. However, with this rapid development of smart terminals and infrastructures, as well as the proliferation of diversified applications, even current networks may not be able to completely meet quickly rising human mobility demands. Thus, they are facing many challenges and to cope with these challenges, different standards and projects have been proposed so far. Accordingly, Artificial Intelligence (AI) has been utilized as a new paradigm for the design and optimization of mobile networks with a high level of intelligence. The objective of this work is to identify and discuss the challenges of mobile networks, alongside IoT and AI, to characterize smart human mobility and to discuss some workable solutions to these challenges. Finally, based on this discussion, we propose paths for future smart human mobility researches.

Allocating HIV prevention resources: A tool for state and local decision making

Health Policy ◽  
2008 ◽  
Vol 87 (3) ◽  
pp. 342-349 ◽  
Author(s):  
Anke Richter ◽  
Katherine A. Hicks ◽  
Stephanie R. Earnshaw ◽  
Amanda A. Honeycutt
Keyword(s):  
Decision Making ◽  
Hiv Prevention ◽  
Local Decision ◽  
State And Local ◽  
Local Decision Making

Study on the Competence Factors of Clothing Store Online Based on Website

2014 ◽  
Vol 644-650 ◽  
pp. 5644-5647
Author(s):  
Kang Shao ◽  
Hui Xu ◽  
Kun Wang
Keyword(s):  
Service Quality ◽  
Rapid Development ◽  
Third Party ◽  
Target Market ◽  
Factors Affecting ◽  
Online Sales ◽  
Logistics Services ◽  
Clothing Store ◽  
Principal Factors ◽  
Store Management

With the rapid development of e-commerce, online store, characterized in less investment and operating flexibility, are favored by more entrepreneurs. This paper analyzes the principal factors, affecting the competitiveness of online clothing shop, based on third-party platform with online sales of conduct, and the intrinsic link between them. And emphasis should be placed on the network store management, target market, products value, service quality, network store promotion, prestige image and logistics services to cultivate and raise the competence of network store so as to get unique competitive edges.

scholarly journals Personnel Component of the Regions Innovation Infrastructure as a Driver for the Development of Smart Technologies

2020 ◽  
pp. 96-108
Author(s):  
Vladimir Byvshev ◽  
Irina Panteleeva ◽  
Kristina Parfenteva ◽  
Danil Uskov
Keyword(s):  
Human Resources ◽  
Rapid Development ◽  
Digital Technologies ◽  
Business Community ◽  
Krasnoyarsk Krai ◽  
New Paradigm ◽  
Regional Innovation ◽  
Innovation Infrastructure ◽  
Smart Technologies ◽  
Regional Authorities

The processes of digitalization and development of smart technologies today set a new paradigm for the development of economy and society as a whole. From year to year, the market capitalization of companies in the field of digital and smart technologies is growing, which reflects the rapid development of this sphere, but in Russia, the pace of development of the digital sphere is lower than in the leading countries in this area, one of the reasons for the lag is insufficient staffing and brain drain. The purpose of the article is to consider the possibility of developing personnel for digital and smart technologies using the personnel component of the regional innovation infrastructure. As a result of studying the experience of Krasnoyarsk krai, it is concluded that the regional law does not set tasks for the development of the regions human resources infrastructure, although the region has a basis for such development and the human resources component of the innovation infrastructure can act as a driver for the development of smart and digital technologies. However, this requires building a model of the network interaction between postgraduate, higher, secondary, general and additional education, as well as direct coordination with regional authorities and regional innovation infrastructure areas of training that are relevant to development in the region. In addition, coordination may consist in generating demand from the business community for personnel in the field of smart and digital technologies.

scholarly journals Social work in municipalities

2013 ◽  
Vol 8 (1) ◽  
pp. 71-94
Author(s):  
Rolv Lyngstad
Keyword(s):  
Decision Making ◽  
Social Work ◽  
Wide Sense ◽  
Professional Discretion ◽  
Local Decision ◽  
Local Discretion ◽  
Specific Meaning ◽  
Local Decision Making ◽  
Context Specific ◽  
The Relationship

The point of departure of this article is contemporary changes in the relationship between national and local decision making in the Norwegian political system. The last decades’ centralization tendencies seem to be challenged by a “new” emphasis on local discretion, and the article discusses how this will affect social work in municipalities. The changes are contested and controversial and allude to questions such as how much discretion should be given to local decision makers in the name of local democracy, and how much difference should be accepted in the name of diversity? The article argues that professional social work must be context-specific, meaning that in a wide sense local knowledge is a prerequisite for good social work. Devolution and local political and professional discretion are necessary in many cases, but not sufficient in themselves as conditions for success. Professional social workers will encounter a lot of difficult dilemmas arousing from issues related to the equality/liberty debate and the diversity/difference/equality debate in social work discourses. In order to approach these dilemmas, more of a focus on local deliberation and place shaping, in combination with a social work focus on democratic professionalism, is necessary. If this is done successfully, devolution and a recapturing of local discretion and decision-making power will empower clients as well as professionals. Thus, current changes in the relationship between different levels of decision making will enlarge the possibilities for professional social work in the municipalities.

scholarly journals Discussion on Data Features and Construction Models of Translation Corpus in the Era of Big Data

2021 ◽  
Vol 251 ◽  
pp. 01030
Author(s):  
Qinqi Kang ◽  
Zhao Kang
Keyword(s):  
Big Data ◽  
Rapid Development ◽  
Third Party ◽  
Crowd Sourcing ◽  
Data Types ◽  
Corpus Construction ◽  
Translation Practice ◽  
Open Source Data ◽  
Key Factor ◽  
Translation Machine

With the rapid development of artificial intelligence in the current era of big data, the construction of translation corpus has become a key factor in effectively achieving a highly intelligent translation. In the era of big data, the data sources and data types of translation corpus are becoming more and more diversified, which will inevitably bring about a new revolution in the construction of translation corpus. The construction of the translation corpus in the era of big data can fully rely on third-party open source data, crowd-sourcing translation, machine closed-loop, human-machine collaboration and other multiple modes to comprehensively improve the quality of translation corpus construction to better serve translation practice.

Estimating Local Decision-Making Behavior in Complex Evolutionary Systems

2014 ◽  
Vol 136 (6) ◽  
Author(s):  
Zhenghui Sha ◽  
Jitesh H. Panchal
Keyword(s):  
Decision Making ◽  
Systems Engineering ◽  
Choice Model ◽  
Preferential Attachment ◽  
Network Evolution ◽  
System Structure ◽  
Statistical Regression ◽  
Evolutionary Systems ◽  
Local Decision ◽  
Local Decision Making

Research in systems engineering and design is increasingly focused on complex sociotechnical systems whose structures are not directly controlled by the designers, but evolve endogenously as a result of decisions and behaviors of self-directed entities. Examples of such systems include smart electric grids, Internet, smart transportation networks, and open source product development communities. To influence the structure and performance of such systems, it is crucial to understand the local decisions that result in observed system structures. This paper presents three approaches to estimate the local behaviors and preferences in complex evolutionary systems, modeled as networks, from its structure at different time steps. The first approach is based on the generalized preferential attachment model of network evolution. In the second approach, statistical regression-based models are used to estimate the local decision-making behaviors from consecutive snapshots of the system structure. In the third approach, the entities are modeled as rational decision-making agents who make linking decisions based on the maximization of their payoffs. Within the decision-centric framework, the multinomial logit choice model is adopted to estimate the preferences of decision-making nodes. The approaches are illustrated and compared using an example of the autonomous system (AS) level Internet. The approaches are generally applicable to a variety of complex systems that can be modeled as networks. The insights gained are expected to direct researchers in choosing the most applicable estimation approach to get the node-level behaviors in the context of different scenarios.

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