Remote sensing in the coastal and marine environment. Proceedings of the US North Atlantic Regional Workshop

Presentations were grouped in the following categories: (1) a technical orientation of Earth resources remote sensing including data sources and processing; (2) a review of the present status of remote sensing technology applicable to the coastal and marine environment; (3) a description of data and information needs of selected coastal and marine activities; and (4) an outline of plans for marine monitoring systems for the east coast and a concept for an east coast remote sensing facility. Also discussed were user needs and remote sensing potentials in the areas of coastal processes and management, commercial and recreational fisheries, and marine physical processes

Development of a Fall Risk Asessment Tool Using Gait Analysis

In the United States, falls are one of the leading causes of fatal and non-fatal injuries for people of all ages. Current clinical methods to assess fall risk are impractical, and often do not use individuals’ actual performance. With current technological advances, and the Internet of Things (IoT), the tools are available to create a digital system that can take into account an individual’s actual performance in making a fall risk assessment. A digital insole based sensory computing system can collect and analyze human gait patterns to develop a fall risk assessment platform with great accuracy.The presented research considers current clinical methods and describes a computerized self-service platform that successfully addresses different gait variables and metrics critical to accurate fall risk assessment. The system incorporates a shoe insole with pressure sensors, and an accelerometer. Collected foot data are transferred to an analytics visualization platform. A wide range of gait pattern recognition metrics, and gait data analyses features are then displayed on the platform enabling specific fall risk assessment

Students' Understanding of Direct Current Resistive Electrical Circuits

Research has shown that both high school and university students' reasoning patterns regarding direct current resistive electric circuits often differ from the currently accepted explanations. At present, there are no standard diagnostic examinations in electric circuits. Two versions of a diagnostic instrument called Determining and Interpreting Resistive Electric circuits Concepts Tests (DIRECT) were developed, each consisting of 29 questions. The information provided by the exam provides classroom instructors a means with which to evaluate the progress and conceptual difficulties of their students and their instructional methods. It can be used to evaluate curricular packages and/or other supplemental materials for their effectiveness in overcoming students' conceptual difficulties. The analyses indicate that students, especially females, tend to hold multiple misconceptions, even after instruction. During interviews, the idea that the battery is a constant source of current was used most often in answering the questions. Students tended to focus on current in solving the problems and to confuse terms, often assigning the properties of current to voltage and/or resistance. Results indicated that students do not have a clear understanding of the underlying mechanisms of electric circuit phenomena. On the other hand, students were able to translate easily from a "realistic" representation of a circuit to the corresponding schematic diagram.Comment: This article has been accepted for publication in the American Journal of Physics - Physics Education Research Supplement. No known publication date as ye

A study of the relative effectiveness and cost of computerized information retrieval in the interactive mode

Results of a number of experiments to illuminate the relative effectiveness and costs of computerized information retrieval in the interactive mode are reported. It was found that for equal time spent in preparing the search strategy, the batch and interactive modes gave approximately equal recall and relevance. The interactive mode however encourages the searcher to devote more time to the task and therefore usually yields improved output. Engineering costs as a result are higher in this mode. Estimates of associated hardware costs also indicate that operation in this mode is more expensive. Skilled RECON users like the rapid feedback and additional features offered by this mode if they are not constrained by considerations of cost

AUDIT QUALITY IN THE BLOCKCHAIN ERA : AN INVESTIGATION OF THE IMPACT OF INDIVIDUAL AND ORGANIZATIONAL FACTORS

This study aims to identifying effect of individual and organizational factors to audit quality in the blockchain technologhy era. Analysis of data uses multiple linear regression. Unit of analysis in this research are auditor in Indonesia. In order to obtain primary data, we use questionnaires. The result of this research is intended to identifying the effect of individual and organizational factors to enhance Audit Quality In The Blockchain Era. We find that the business process knowledge of auditors have positively influence to the audit quality, IT Knowledge of auditors have robust influence to the audit quality, and keep to update accounting standards knowledge

Human Traders need new Tools

This thesis proposes new methods and tools for helping human traders to compete in a highfrequency trading environment. Human traders have difficulty trading against predatory algorithms and the thesis proposes methods that support the creation of assistive tools that can help human traders to compete profitably. It also develops further understanding of classical decision-making theory in a realtime trading context demonstrating that human traders improve decision-making biases when linked together in groups or with an assistive machine. As described in the thesis human traders are monitored, and their data is captured, in realtime and in situ. The trading performance and behavioural characteristics of the traders are studied in this context in order to determine if they can be positively modified. The thesis presents a new model for studying human trading behaviour in realtime and in situ using unique software. It also describes the basis for the development of a range of interventionist and assistive tools that are designed to augment trading performance. The approach put forward is unique in its application. It also provides evidence that human traders are willing to allow machines to augment their trading decisions. The contributions of this thesis are that it overcomes the problem of assessing human trader risk-taking behaviour in realtime and in situ, it makes sense of human trading behaviour at realtime speeds and then it shows that, with new approaches to human-machine collaboration, trading performance improves and classic decision-making biases are reduced