scholarly journals Cascading Forgetting in Product Development Challenges and Evaluation

2019 ◽  
Vol 1 (1) ◽  
pp. 2527-2536
Author(s):  
Patricia Kügler ◽  
Claudia Schon ◽  
Benjamin Schleich ◽  
Steffen Staab ◽  
Sandro Wartzack
Keyword(s):  
Product Design ◽  
Information Overload ◽  
Relevant Information ◽  
Knowledge Bases ◽  
Wear Behaviour ◽  
Combustion Engines ◽  
The Novel ◽  
Related Information ◽  
Intentional Forgetting ◽  
Novel Approach

AbstractVast amounts of information and knowledge is produced and stored within product design projects. Especially for reuse and adaptation there exists no suitable method for product designers to handle this information overload. Due to this, the selection of relevant information in a specific development situation is time-consuming and inefficient. To tackle this issue, the novel approach Intentional Forgetting (IF) is applied for product design, which aims to support reuse and adaptation by reducing the vast amount of information to the relevant. Within this contribution an IF-operator called Cascading Forgetting is introduced and evaluated, which was implemented for forgetting related information elements in ontology knowledge bases. For the evaluation the development process of a test-rig for studying friction and wear behaviour of the cam/tappet contact in combustion engines is analysed. Due to the interdisciplinary task of the evaluation and the characteristics of semantic model, challenges are discussed. In conclusion, the focus of the evaluation is to consider how reliable the Cascading Forgetting works and how intuitive ontology-based representations appear to engineers.

scholarly journals Attention manipulation and information overload

2018 ◽  
Vol 2 (1) ◽  
pp. 78-106 ◽  
Author(s):  
PETRA PERSSON
Keyword(s):  
Product Design ◽  
Financial Literacy ◽  
Information Overload ◽  
Consumer Welfare ◽  
Relevant Information ◽  
Limited Attention ◽  
Disclosure Regulation ◽  
Consumer Attention ◽  
Disclosure Rules

AbstractLimits on consumer attention give firms incentives to manipulate prospective buyers’ allocation of attention. This paper models such attention manipulation and shows that it limits the ability of disclosure regulation to improve consumer welfare. Competitive information supply from firms competing for attention can reduce consumers’ knowledge by causing information overload. A single firm subjected to a disclosure mandate may deliberately induce such information overload to obfuscate financially relevant information or engage in product complexification to bound consumers’ financial literacy. Thus, disclosure rules that would improve welfare for agents without attention limitations can prove ineffective for consumers with limited attention. Obfuscation suggests a role for rules that mandate not only the content, but also the format of disclosure; however, even rules that mandate ‘easy-to-understand’ formats can be ineffective against complexification, which may call for regulation of product design.

Information services for novelty mining

2014 ◽  
Vol 29 (2) ◽  
pp. 234-247
Author(s):  
Flora S. Tsai ◽  
Agus T. Kwee
Keyword(s):  
Information Overload ◽  
Relevant Information ◽  
Information Services ◽  
Test Cases ◽  
The Novel ◽  
Design And Development ◽  
Real World Applications ◽  
Remote System ◽  
Client Side ◽  
Mobile Information Services

AbstractInformation services facilitate users to exploit applications over the network and access them from the remote system at the client side. In this paper, we describe the design and development of information services for novelty mining, which allows users to access the novel yet relevant information of a given topic. Several methodologies regarding novelty mining such as novelty scoring, novelty threshold, novelty feedback, and document-to-sentence technique are described. In addition to Web services, mobile information services are also described. Modelling and implementing information services for novelty mining are especially useful for users to reduce their information overload. We describe the challenging issue of decomposing the complex novelty mining application into several smaller and simpler modules, which are later implemented as services on the Web as well as mobile devices. After deploying our information services for novelty mining, test cases are provided to demonstrate the system. Our information services for novelty mining are confirmed to be helpful in increasing the efficiency of enterprise users in gathering novel information from incoming text. By studying the design and development of information services for novelty mining, we can benefit other developers in investigating effective techniques for developing enterprise services for other real-world applications.

scholarly journals Identification of Fake Accounts for Making Trust on Network using Machine Learning

2019 ◽  
Vol 8 (2S3) ◽  
pp. 796-800
Keyword(s):  
Machine Learning ◽  
Social Networks ◽  
Learning Algorithm ◽  
Machine Learning Algorithm ◽  
The Novel ◽  
Related Information ◽  
Legitimate User ◽  
The People ◽  
Novel Approach ◽  
The Social

Social Networks are gradually influencing the people to communicate with each other and share the personal, public related information. Different social networks have different target people. In particular Facebook used to establish the friendship, LinkedIn to find new Job, these Rabid growth of social networks, people tend to misuse the social networks to spoil others reputation or to steal the others information’s. Fake profiles are dangerous in social networks platform. It is essential to identify the fake users from social networks. This work presents the novel approach to predict and differentiate the fake user and legitimate user from social networks by using Machine Learning algorithm and we achieved significant results.

Exploring normative perceptions and misperceptions of private, environmentally impactful behaviours

2020 ◽  
Author(s):  
Elaine Gallagher ◽  
Bas Verplanken ◽  
Ian Walker
Keyword(s):  
Social Norms ◽  
Behaviour Change ◽  
Social Contexts ◽  
The Novel ◽  
Normative Influence ◽  
Change Mechanism ◽  
Novel Approach ◽  
Classical Studies ◽  
Referent Group

Social norms have been shown to be an effective behaviour change mechanism across diverse behaviours, demonstrated from classical studies to more recent behaviour change research. Much of this research has focused on environmentally impactful actions. Social norms are typically utilised for behaviour change in social contexts, which facilitates the important element of the behaviour being visible to the referent group. This ensures that behaviours can be learned through observation and that deviations from the acceptable behaviour can be easily sanctioned or approved by the referent group. There has been little focus on how effective social norms are in private or non-social contexts, despite a multitude of environmentally impactful behaviours occurring in the home, for example. The current study took the novel approach to explore if private behaviours are important in the context of normative influence, and if the lack of a referent groups results in inaccurate normative perceptions and misguided behaviours. Findings demonstrated variance in normative perceptions of private behaviours, and that these misperceptions may influence behaviour. These behaviours are deemed to be more environmentally harmful, and respondents are less comfortable with these behaviours being visible to others, than non-private behaviours. The research reveals the importance of focusing on private behaviours, which have been largely overlooked in the normative influence literature.

scholarly journals A Novel Approach to EEG Speech Activity Detection with Visual Stimuli and Mobile BCI

2021 ◽  
Vol 11 (2) ◽  
pp. 674
Author(s):  
Marianna Koctúrová ◽  
Jozef Juhár
Keyword(s):  
Visual Stimuli ◽  
Computer Interface ◽  
Single Subject ◽  
Detection Accuracy ◽  
The Novel ◽  
Activity Detection ◽  
Speech Activity ◽  
Novel Approach ◽  
Eeg Data ◽  
Speech Activity Detection

With the ever-progressing development in the field of computational and analytical science the last decade has seen a big improvement in the accuracy of electroencephalography (EEG) technology. Studies try to examine possibilities to use high dimensional EEG data as a source for Brain to Computer Interface. Applications of EEG Brain to computer interface vary from emotion recognition, simple computer/device control, speech recognition up to Intelligent Prosthesis. Our research presented in this paper was focused on the study of the problematic speech activity detection using EEG data. The novel approach used in this research involved the use visual stimuli, such as reading and colour naming, and signals of speech activity detectable by EEG technology. Our proposed solution is based on a shallow Feed-Forward Artificial Neural Network with only 100 hidden neurons. Standard features such as signal energy, standard deviation, RMS, skewness, kurtosis were calculated from the original signal from 16 EEG electrodes. The novel approach in the field of Brain to computer interface applications was utilised to calculated additional set of features from the minimum phase signal. Our experimental results demonstrated F1 score of 86.80% and 83.69% speech detection accuracy based on the analysis of EEG signal from single subject and cross-subject models respectively. The importance of these results lies in the novel utilisation of the mobile device to record the nerve signals which can serve as the stepping stone for the transfer of Brain to computer interface technology from technology from a controlled environment to the real-life conditions.

scholarly journals Design of Consumables in a Resource-Efficient Economy—A Literature Review

2021 ◽  
Vol 13 (3) ◽  
pp. 1036
Author(s):  
Siri Willskytt
Keyword(s):  
Life Cycle ◽  
Literature Review ◽  
Product Design ◽  
Circular Economy ◽  
Design Guidelines ◽  
The Novel ◽  
Specific Design ◽  
Design Considerations ◽  
Life Cycle Perspective ◽  
General Product

Consumable products have received less attention in the circular economy (CE), particularly in regard to the design of resource-efficient products. This literature review investigates the extent to which existing design guidelines for resource-efficient products are applicable to consumables. This analysis is divided into two parts. The first investigates the extent to which general product-design guidelines (i.e., applicable to both durables and consumables) are applicable to consumables. This analysis also scrutinizes the type of recommendations presented by the ecodesign and circular product design, to investigate the novel aspects of the CE in product design. The second analysis examines the type of design considerations the literature on product-type specific design guidelines recommends for specific consumables and whether such guidelines are transferable. The analysis of general guidelines showed that, although guidelines are intended to be general and applicable to many types of products, their applicability to consumable products is limited. Less than half of their recommendations can be applied to consumables. The analysis also identified several design considerations that are transferable between product-specific design guidelines. This paper shows the importance of the life-cycle perspective in product design, to maximize the opportunities to improve consumables.

ChemInform Abstract: The Novel Approach to Indole Alkaloids by Using Pd(II)-Catalyzed Cyclization.

ChemInform ◽  
2015 ◽  
Vol 46 (17) ◽  
pp. no-no
Author(s):  
Hajime Yokoyama ◽  
Takayoshi Kubo ◽  
Yosuke Matsumura ◽  
Junichi Hosokawa ◽  
Masahiro Miyazawa ◽  
...  
Keyword(s):  
Indole Alkaloids ◽  
The Novel ◽  
Novel Approach

scholarly journals Caffeine-Induced Effects on Human Skeletal Muscle Contraction Time and Maximal Displacement Measured by Tensiomyography

Nutrients ◽  
2021 ◽  
Vol 13 (3) ◽  
pp. 815
Author(s):  
Przemysław Domaszewski ◽  
Paweł Pakosz ◽  
Mariusz Konieczny ◽  
Dawid Bączkowicz ◽  
Ewa Sadowska-Krępa
Keyword(s):  
Skeletal Muscle ◽  
Muscle Activation ◽  
Electric Pulse ◽  
Professional Athletes ◽  
Mechanical Activity ◽  
The Novel ◽  
Contraction Time ◽  
Novel Approach ◽  
Skeletal Muscle Contraction ◽  
Maximal Displacement

Studies on muscle activation time in sport after caffeine supplementation confirmed the effectiveness of caffeine. The novel approach was to determine whether a dose of 9 mg/kg/ body mass (b.m.) of caffeine affects the changes of contraction time and the displacement of electrically stimulated muscle (gastrocnemius medialis) in professional athletes who regularly consume products rich in caffeine and do not comply with the caffeine discontinuation period requirements. The study included 40 professional male handball players (age = 23.13 ± 3.51, b.m. = 93.51 ± 15.70 kg, height 191 ± 7.72, BMI = 25.89 ± 3.10). The analysis showed that in the experimental group the values of examined parameters were significantly reduced (p ≤ 0.001) (contraction time: before = 20.60 ± 2.58 ms/ after = 18.43 ± 3.05 ms; maximal displacement: before = 2.32 ± 0.80 mm/after = 1.69 ± 0.51 mm). No significant changes were found in the placebo group. The main achievement of this research was to demonstrate that caffeine at a dose of 9 mg/kg in professional athletes who regularly consume products rich in caffeine has a direct positive effect on the mechanical activity of skeletal muscle stimulated by an electric pulse.

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