Seeking Patterns in the Forensic Analysis of Handwriting and Speech

2008 ◽  
pp. 110-139
Author(s):  
Graham Leedham ◽  
Vladimir Pervouchine ◽  
Haishan Zhong
Keyword(s):  
Forensic Analysis ◽  
High Accuracy ◽  
Discriminative Power ◽  
Person Identification ◽  
The Future ◽  
Quantitative Manner ◽  
Speech Imitation ◽  
Document Examiners

This chapter examines features of handwriting and speech and their effectiveness at determining whether the identity of a writer or speaker can be identified from his or her handwriting or speech. For handwriting, some of the subjective and qualitative features used by document examiners are investigated in a scientific and quantitative manner based on the analysis of three characters (“d,” “y,” and “f”) and the grapheme “th.” For speech, several frequently used features are compared for their strengths and weaknesses in distinguishing speakers. The results show that some features do have good discriminative power, while others are less effective. Acceptable performance can be obtained in many situations using these features. However, the effect of handwriting forgery/disguise or conscious speech imitation/alteration on these features is not investigated. New and more powerful features are needed in the future if high accuracy person identification can be achieved in the presence of disguise or forgery.

scholarly journals Finding Top-kCovering Irreducible Contrast Sequence Rules for Disease Diagnosis

2015 ◽  
Vol 2015 ◽  
pp. 1-11 ◽  
Author(s):  
Yuhai Zhao ◽  
Yuan Li ◽  
Ying Yin ◽  
Gang Sheng
Keyword(s):  
Classification Accuracy ◽  
Disease Diagnosis ◽  
High Accuracy ◽  
Discriminative Power ◽  
Disease Phenotypes ◽  
The Common ◽  
The Individual ◽  
Sequence Rule ◽  
Insight Into ◽  
Sequence Rules

Diagnostic genes are usually used to distinguish different disease phenotypes. Most existing methods for diagnostic genes finding are based on either the individual or combinatorial discriminative power of gene(s). However, they both ignore the common expression trends among genes. In this paper, we devise a novel sequence rule, namely, top-kirreducible covering contrast sequence rules (TopkIRs for short), which helps to build a sample classifier of high accuracy. Furthermore, we propose an algorithm called MineTopkIRs to efficiently discover TopkIRs. Extensive experiments conducted on synthetic and real datasets show that MineTopkIRs is significantly faster than the previous methods and is of a higher classification accuracy. Additionally, many diagnostic genes discovered provide a new insight into disease diagnosis.

Collaborative Filtering Based Recommendation Systems

2010 ◽  
pp. 708-723
Author(s):  
E. Thirumaran
Keyword(s):  
Collaborative Filtering ◽  
False Positive ◽  
Recommendation Systems ◽  
High Accuracy ◽  
Future Directions ◽  
The Future

This chapter introduces Collaborative filtering-based recommendation systems, which has become an integral part of E-commerce applications, as can be observed in sites like Amazon.com. It will present several techniques that are reported in the literature to make useful recommendations, and study their limitations. The chapter also lists the issues that are currently open and the future directions that may be explored to address those issues. Furthermore, the authors hope that understanding of these limitations and issues will help build recommendation systems that are of high accuracy and have few false positive errors (which are products that are recommended, though the user does not like them).

scholarly journals Metamaterials-Enabled Sensing for Human-Machine Interfacing

Sensors ◽  
2020 ◽  
Vol 21 (1) ◽  
pp. 161
Author(s):  
Fei Li ◽  
Run Hu
Keyword(s):  
State Of The Art ◽  
Recent Decade ◽  
High Accuracy ◽  
Electric Machines ◽  
Future Directions ◽  
Daily Lives ◽  
The Future ◽  
Working Principle ◽  
Very High ◽  
The Way

Our modern lives have been radically revolutionized by mechanical or electric machines that redefine and recreate the way we work, communicate, entertain, and travel. Whether being perceived or not, human-machine interfacing (HMI) technologies have been extensively employed in our daily lives, and only when the machines can sense the ambient through various signals, they can respond to human commands for finishing desired tasks. Metamaterials have offered a great platform to develop the sensing materials and devices from different disciplines with very high accuracy, thus enabling the great potential for HMI applications. For this regard, significant progresses have been achieved in the recent decade, but haven’t been reviewed systematically yet. In the Review, we introduce the working principle, state-of-the-art sensing metamaterials, and the corresponding enabled HMI applications. For practical HMI applications, four kinds of signals are usually used, i.e., light, heat, sound, and force, and therefore the progresses in these four aspects are discussed in particular. Finally, the future directions for the metamaterials-based HMI applications are outlined and discussed.

Research on Machining Methods of Turning Trapezoidal Thread for Slender Axle on Lathe

2011 ◽  
Vol 84-85 ◽  
pp. 388-391
Author(s):  
Jin Chun Feng ◽  
Wen Bing Chen ◽  
Xu Liu ◽  
Song He Huang ◽  
Qi Hong
Keyword(s):  
High Accuracy ◽  
Processing Method ◽  
Accuracy Requirement ◽  
The Future ◽  
The Common ◽  
Correct Processing

There were a lot of common points in turning the slender trapezoidal thread and the triangular thread on the common lathe, but there were also respective special features, because the trapezoidal thread used in machinery's transmission spot, the accuracy requirement was high, and during the machining, it was more complicated to turn the slender trapezoidal thread on the common lathe than the triangular thread. As long as control its processing rule, and adopts the correct processing method, we definitely may machine the high accuracy thread, this article elaborates ways and means of machining trapezoidal thread on slender axis, the machining of the trapezoidal thread for the slender axle can provide the experience and reference basis for such parts in the future. Introduction

A project of teaching ground-based astrometry

2007 ◽  
Vol 3 (S248) ◽  
pp. 521-522
Author(s):  
J.-E. Arlot ◽  
W. J. Jin ◽  
J. Zhu ◽  
Q. Y. Peng ◽  
F. Colas ◽  
...  
Keyword(s):  
Solar System ◽  
Doctoral Students ◽  
High Accuracy ◽  
Direct Imaging ◽  
New Methods ◽  
Solar System Objects ◽  
The Future ◽  
Beijing China ◽  
Astrometric Data ◽  
Spring School

AbstractThe optical ground-based astrometry of solar system objects may have its accuracy strongly improved by using new methods for making observations and reductions of them. New photometric methods of observating the mutual phenomena occurring in the solar system, may provide astrometric data with a higher precision than the classical direct imaging. In order to help preparing observers for the future campaigns of observations (2008–2010) and to promote this kind of high-accuracy astrometry, we plan to organize a spring school in 2008 in Beijing, China, for PhD and post-doctoral students, and for interested young astronomers.

Person Identification Using Top-View Image with Depth Information

2013 ◽  
Vol 1 (2) ◽  
pp. 67-79
Author(s):  
Daichi Kouno ◽  
Kazutaka Shimada ◽  
Tsutomu Endo
Keyword(s):  
Body Height ◽  
High Accuracy ◽  
Identification Accuracy ◽  
Depth Information ◽  
Identification Task ◽  
Person Identification ◽  
Identification Methods ◽  
Rich Information ◽  
Accuracy Rates ◽  
Top View

In this paper, the authors describe a novel image-based person identification task. Traditional face-based person identification methods have a low tolerance for occluded situation, such as overlapping of people in an image. The authors focus on an image from an overhead camera. The authors utilize depth information for the identification task. By using depth information, the authors can capture the precise person’s area and rich information for the identification task as compared with popular RGB cameras. The authors apply four features extracted from images based on depth information to the identification method; (1) estimated body height, (2) estimated body dimensions, (3) estimated body size and (4) depth histogram. In the experiment, the authors evaluated two situations; (a) standing in front of a door and (b) touching a doorknob. The identification accuracy rates are 94.4% and 91.4% on the two situations. The authors obtained the high accuracy by the proposed method.

Predicting the Structure of Grain Boundaries in Fluorite-Structured Materials

2019 ◽  
Vol 63 (4) ◽  
pp. 247-254
Author(s):  
Aoife K. Lucid ◽  
Aoife C. Plunkett ◽  
Graeme W. Watson
Keyword(s):  
Grain Boundaries ◽  
Excellent Agreement ◽  
Calcium Fluoride ◽  
Computational Modelling ◽  
High Accuracy ◽  
Extended Defect ◽  
Structured Materials ◽  
The Future ◽  
Properties Of Materials ◽  
The Impact

Interfaces are a type of extended defect which govern the properties of materials. As the nanostructuring of materials becomes more prevalent the impact of interfaces such as grain boundaries (GBs) becomes more important. Computational modelling of GBs is vital to the improvement of our understanding of these defects as it allows us to isolate specific structures and understand resulting properties. The first step to accurately modelling GBs is to generate accurate descriptions of the structures. In this paper, we present low angle mirror tilt GB structures for fluorite structured materials (calcium fluoride and ceria). We compare specific GB structures which are generated computationally to experimentally known structures, wherein we see excellent agreement. The high accuracy of the method which we present for predicting these structures can be used in the future to predict interfaces which have not already been experimentally identified and can also be applied to heterointerfaces.

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