A Study on the Actual Usage of Duplicated Punctuation Marks.

2021 ◽  
Vol 26 (2) ◽  
pp. 95-116
Author(s):  
Eunhwa Oh ◽  
◽  
Jeonghyeon Lee
Keyword(s):  
Actual Usage

Consumers' Usage and Attitudes Towards Smartphone using Conjoint Analysis.

2019 ◽  
Vol 4 (3) ◽  
pp. 64-72
Author(s):  
Castaño, Mary Caroline N.
Keyword(s):  
Conjoint Analysis ◽  
Pearson Correlation ◽  
The Philippines ◽  
Holistic View ◽  
Actual Usage ◽  
Quality Patient Care ◽  
Depth Analysis ◽  
Government Hospitals ◽  
Policy Direction ◽  
The Given

ABSTRACT The entry of smartphones into our lives is due to two primary reasons – the rapid advancement in technology and R & D, making present technology redundant within weeks and the drastic drop in prices of smartphones which occur weekly or monthly. The objectives of this paper are: (1) To provide a more holistic view of smartphone users' preference (2) To have depth analysis on how consumers put a premium on various smartphone features application and tools (3) To understand how prospective customers appreciate the good features of the product. Three statistical tools were used: Frequency Distribution to get the profile of the respondent's actual usage of smartphones and attitudes of consumers, Pearson Correlation, and Conjoint analysis, which was used to analyze the preference of the respondents on smartphone attributes. This study showed a moderately fit conjoint model, Pearson R =.742, p<.05, Kendall's Tau was .333, p<.05 and .333, p< .05 for the holdouts. From the given set of attributes, price (47.11%) is the most important, followed by the SIM card slot (19.05%), and the phone plan (9.14%). This paper is the first study done in the Philippines about the usage, attitudes of consumers towards smartphones using conjoint analysis. The analysis would help companies to understand what aspects of their products are essential and irrelevant. Companies will act upon a certain aspect to ensure higher profitability. Type of Paper: Empirical Keywords: local government hospitals; Philippines; policy direction; quality patient care

scholarly journals Students Acceptance of Google Classroom: An Exploratory Study using PLS-SEM Approach

2018 ◽  
Vol 13 (06) ◽  
pp. 112 ◽  
Author(s):  
Rana A. Saeed Al-Maroof ◽  
Mostafa Al-Emran
Keyword(s):  
Technology Acceptance ◽  
Structural Equation ◽  
Equation Model ◽  
Ease Of Use ◽  
Partial Least Square ◽  
Perceived Usefulness ◽  
Least Square ◽  
Perceived Ease Of Use ◽  
Online Questionnaire ◽  
Actual Usage

Google classroom can work in unidirectional process as it can serve the teachers’ strategies and styles on one hand and students’ perception, understanding, and effective participation in different classroom skills on the other hand. The ac-ceptance of Google classroom is affected by different factors. Some of them are still not clearly specified and discussed in previous research; therefore, they need further investigation. Based on the previous assumption, this study is an attempt to examine the factors that affect the students’ acceptance of Google classroom at Al Buraimi University College (BUC) in Oman. The Technology Acceptance Model (TAM) was adopted to formulate the hypotheses of the current study. The data was collected through an online questionnaire with 337 respondents. The Partial Least Square-Structural Equation Model (PLS-SEM) approach was used to assess both the measurement and structural models. The results of the study prove that both the perceived ease of use (PEOU) and perceived usefulness (PU) positively influence the behavioral intention, which in turn influence the actual usage of Google classrooms. This study helps the decision makers of the higher educational institutions to have a better understanding of the effectiveness of us-ing Google classroom by their students. It is assumed that it helps in measuring the level of students’ acceptance to the previously mentioned technology.

scholarly journals Voice Technologies to Support Aging in Place: Opportunities and Challenges

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 317-318
Author(s):  
Alisha Pradhan ◽  
Amanda Lazar
Keyword(s):  
Older Adults ◽  
Digital Technology ◽  
Aging In Place ◽  
Ease Of Use ◽  
Online Information ◽  
Actual Usage ◽  
Desktop Computers ◽  
Visual Interaction ◽  
Health Related ◽  
Internet Of Things Technology

Abstract Technology to support aging in place has been a topic of interest. Research indicates that older adults are increasingly using commercially available voice assistants in smart speakers. These devices enable non-visual interaction that does not require extensive expertise with traditional mobile or desktop computers, thus offering new possibilities of access to digital technology. We conducted two different studies with individuals aged 65 years old or above—a three week smart speaker deployment study with individuals who did not use computing devices regularly and a workshop on customizing internet of things technology with tech savvy individuals. Our findings indicate specific ways that these voice technologies might support aging in place, including ease of use and due to their not being identified with aging-specific technologies. We observed that participants consistently used their voice agent for finding online information, particularly health-related, emphasizing the need to revisit concerns about credibility of information with this new interaction medium. And, although features to support memory (e.g., setting timers, reminders) were initially perceived as useful, the actual usage was unexpectedly low due to reliability concerns. Our work provides a basis to understand older adults’ perceptions and usage of current voice technologies. We also identify opportunities for customizing voice technologies to better support aging in place.

scholarly journals “Chatty Devices” and edge-based activity classification

2021 ◽  
Vol 1 (1) ◽  
Author(s):  
Mike Lakoju ◽  
Amir Javed ◽  
Omer Rana ◽  
Pete Burnap ◽  
Samuelson T. Atiba ◽  
...  
Keyword(s):  
Learning Strategies ◽  
Manufacturing Process ◽  
Data Privacy ◽  
Human Robot Interaction ◽  
Production Environment ◽  
User Privacy ◽  
Robot Interaction ◽  
Actual Usage ◽  
Product Use ◽  
Edge Based

AbstractWith increasing automation of manufacturing processes (focusing on technologies such as robotics and human-robot interaction), there is a realisation that the manufacturing process and the artefacts/products it produces can be better connected post-production. Built on this requirement, a “chatty" factory involves creating products which are able to send data back to the manufacturing/production environment as they are used, whilst still ensuring user privacy. The intended use of a product during design phase may different significantly from actual usage. Understanding how this data can be used to support continuous product refinement, and how the manufacturing process can be dynamically adapted based on the availability of this data provides a number of opportunities. We describe how data collected on product use can be used to: (i) classify product use; (ii) associate a label with product use using unsupervised learning—making use of edge-based analytics; (iii) transmission of this data to a cloud environment where labels can be compared across different products of the same type. Federated learning strategies are used on edge devices to ensure that any data captured from a product can be analysed locally (ensuring data privacy).

scholarly journals ToU Pricing-Based Dynamic Electricity Theft Detection in Smart Grid Using Gradient Boosting Classifier

2021 ◽  
Vol 11 (1) ◽  
pp. 401
Author(s):  
Rajiv Punmiya ◽  
Sangho Choe
Keyword(s):  
Smart Grid ◽  
Dynamic Pricing ◽  
Gradient Boosting ◽  
Core Concept ◽  
Actual Usage ◽  
Electricity Theft ◽  
Extreme Gradient Boosting ◽  
New Type ◽  
Near Future ◽  
Very High

In the near future, it is highly expected that smart grid (SG) utilities will replace existing fixed pricing with dynamic pricing, such as time-of-use real-time tariff (ToU). In ToU, the price of electricity varies throughout the whole day based on the respective utilities’ decisions. We classify the whole day into two periods with very high and low probabilities of theft activities, termed as the “theft window” and “non-theft window”, respectively. A “smart” malicious consumer can adjust his/her theft to mostly targeting the theft window, manipulate actual usage reporting to outsmart existing theft detectors, and achieve the goal of “paying reduced tariff”. Simulation results show that existing schemes do not detect well such window-based theft activities conversely exploiting ToU strategies. In this paper, we begin by introducing the core concept of window-based theft cases, which is defined at the basis of ToU pricing as well as consumption usage. A modified extreme gradient boosting (XGBoost) based machine learning (ML) technique called dynamic electricity theft detector (DETD) has been presented to detect a new type of theft cases.

Study on Utilization of Open Spaces in New Town Revitalization Based on Actual Usage

2010 ◽  
Vol 45.3 (0) ◽  
pp. 787-792
Author(s):  
Shigeaki Takeda ◽  
Fumika Nishikawa ◽  
Hiroyuki Kaga ◽  
Yasuhiko Shimomura ◽  
Noboru Masuda
Keyword(s):  
Open Spaces ◽  
New Town ◽  
Actual Usage

Study on Utilization of Open Spaces in New Town Revitalization Based on Actual Usage

2010 ◽  
Vol 45 (0) ◽  
pp. 132-132
Author(s):  
Shigeaki TAKEDA ◽  
Fumika NISHIKAWA ◽  
Hiroyuki KAGA ◽  
Yasuhiko SHIMOMURA ◽  
Noboru MASUDA
Keyword(s):  
Open Spaces ◽  
New Town ◽  
Actual Usage
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