Constructing Robots for Undergraduate Projects Using Commodity Aluminum Build Systems

Author(s):  
John Seng
Keyword(s):  
Author(s):  
Alexandra D. Kaplan ◽  
Theresa T. Kessler ◽  
J. Christopher Brill ◽  
P. A. Hancock

Objective The present meta-analysis sought to determine significant factors that predict trust in artificial intelligence (AI). Such factors were divided into those relating to (a) the human trustor, (b) the AI trustee, and (c) the shared context of their interaction. Background There are many factors influencing trust in robots, automation, and technology in general, and there have been several meta-analytic attempts to understand the antecedents of trust in these areas. However, no targeted meta-analysis has been performed examining the antecedents of trust in AI. Method Data from 65 articles examined the three predicted categories, as well as the subcategories of human characteristics and abilities, AI performance and attributes, and contextual tasking. Lastly, four common uses for AI (i.e., chatbots, robots, automated vehicles, and nonembodied, plain algorithms) were examined as further potential moderating factors. Results Results showed that all of the examined categories were significant predictors of trust in AI as well as many individual antecedents such as AI reliability and anthropomorphism, among many others. Conclusion Overall, the results of this meta-analysis determined several factors that influence trust, including some that have no bearing on AI performance. Additionally, we highlight the areas where there is currently no empirical research. Application Findings from this analysis will allow designers to build systems that elicit higher or lower levels of trust, as they require.


2021 ◽  
pp. 1-47
Author(s):  
Yang Trista Cao ◽  
Hal Daumé

Abstract Correctly resolving textual mentions of people fundamentally entails making inferences about those people. Such inferences raise the risk of systematic biases in coreference resolution systems, including biases that can harm binary and non-binary trans and cis stakeholders. To better understand such biases, we foreground nuanced conceptualizations of gender from sociology and sociolinguistics, and investigate where in the machine learning pipeline such biases can enter a coreference resolution system. We inspect many existing datasets for trans-exclusionary biases, and develop two new datasets for interrogating bias in both crowd annotations and in existing coreference resolution systems. Through these studies, conducted on English text, we confirm that without acknowledging and building systems that recognize the complexity of gender, we will build systems that fail for: quality of service, stereotyping, and over- or under-representation, especially for binary and non-binary trans users.


Author(s):  
Muhammad Ainul Yaqin ◽  
Dicky Eka Asia Pratama ◽  
Mohammad Rofi’uruttab ◽  
Ilman Dwi Cahya

School as an institution that has a primary mission to educate and develop the character of the nation through a series of learning activities. School is an organization whose success goals are largely determined by the leadership style and organizational paradigm that is shared by all school components. Schools as organizations have business processes as a collection of procedures or activities that can define business objectives or objectives, generally in the context of organizational structures that can define functional roles and relationships within the organization. The main purpose of BPMN is to provide a notation that is easy to use and can be understood by everyone involved in business, which includes business analysts who model business processes, technical developers who build systems that carry out business, and various levels of management that must be able to read and understand processes diagram quickly so that it can help in decision making. To measure the complexity of a business process, complexity metrics are measured. This study uses the Cognitve Information Complexity Measure (CICM) method. Researchers took 3 SOPs of national education standards namely SOP curriculum development resulting in a standard value of complexity 425.1496, SOP for the Learning Process produced a standard value of complexity 2091.333 and SOP for Teacher Recruitment resulted in a standard value of complexity of 1145.49.


2011 ◽  
Vol 36 (4) ◽  
pp. 33-34
Author(s):  
William Del Ra
Keyword(s):  

2011 ◽  
Vol 17 (4-5) ◽  
pp. 578-608 ◽  
Author(s):  
Shane McIntosh ◽  
Bram Adams ◽  
Ahmed E. Hassan
Keyword(s):  

Author(s):  
D. R. Prabhu ◽  
D. L. Taylor

Abstract In this paper, we examine design problems in which requirements consist of constant power-flows with constant effort and flow variables in various domains. The use of an outgrowth of bond graph structure for design is explored. A spanning set of functional primitives is determined which can assemble an arbitrary system meeting the above functional requirements. Some basic theorems are developed regarding generic assembly algorithms to build systems using elements belonging to the chosen set. Maximum and minimum bounds on complexity are determined. An optimal partitioning of specified requirements is obtained to minimize the number of primitives needed. Power-flows through each primitive used is subsequently minimized to obtain a minimal power-flow graph.


2021 ◽  
pp. 179-196
Author(s):  
Christopher Dye

The argument in this book rests on a simple proposition: understanding the reason why people prefer to take a chance on sickness and cure is the key to persuading them when and why they should choose prevention instead. This final chapter summarizes the means of persuasion: investigate rather than presuppose which criteria are used to make health choices; build systems for accounting (inclusive costs and benefits of prevention) and for accountability (liability and responsibility); offer ways to improve health, not merely ways to avoid losing it; evaluate, in order to manage, the perceptions linked to health hazards; exploit the logic of choice to insure against the risk of unlikely disasters, to increase the present value of future threats, to foster cooperation as a basis for prevention, to map out the practical pathways to prevention, and to remedy the under-investment in prevention research. The tools of prevention are the means to a greater end—health as a ‘state of complete physical, mental, and social well-being’.


Author(s):  
Matt Germonprez ◽  
Michel Avital ◽  
Nikhil Srinivasan

The multiple and ever-evolving standards that govern mobile computing result in multilayered heterogeneous environments of mobile devices and services. Thus, as mobile computing becomes more prevalent, it is important that designers build systems that support as many unique, in-use, and userdefined characteristics as possible. This study explores the related effects of two existing standardized technologies: hypertext markup language (HTML) and cascading style sheets (CSS). Furthermore, whereas we investigate the impact of the CSS standard in the context of computing in general and mobile computing in particular, we also focus on two emerging roles of this standard: device independence and usability. Our findings suggest that the application of the CSS standard can improve data delivery across independent devices with varied bandwidth and resource availability, thereby providing device independence and improved usability respectively. We demonstrate that through their effect on device independence and usability, CSS plays an important role in the evolution, expansion, and openness of mobile computing.


Author(s):  
Francisco J. Ballestero ◽  
Enrique Soriano ◽  
Gorka Guardiola

There are some important requirements to build effective smart spaces, like human aspects, sensing, activity recognition, context awareness, etc. However, all of them require adequate system support to build systems that work in practice. In this chapter, we discuss system level support services that are necessary to build working smart spaces. We also include a full discussion of system abstractions for pervasive computing taking in account naming, protection, modularity, communication, and programmability issues.


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