Sparse Lp-Norm Based ICP for 3D Registration

2015 ◽  
Vol 742 ◽  
pp. 433-436
Author(s):  
Xiu Zhi Li ◽  
Bao Ling Qin ◽  
Huan Qiu ◽  
Song Min Jia

In order to uncover truths to serve justice, case-related data collected from a digital investigation requires substantial resources to analyze, especially in time-critical situations. At present, however, digital forensics has not evolved to meet this ever-increasing demand. Digital forensic triage is a promising solution, as it is designed to maximize the use of resources according to a system of priorities, and hence the efficiency and effectiveness of forensic examinations can be increased. Nevertheless, the lack of concrete methods limits efforts to implement triage. This paper presents a practical approach that is designed to build a prioritizing solution. In this work a newprocess model is derived based on the presented approach, and it is particularly suited to scenarios where forensic examiners do not have enough time and resources to conduct a full examination and analysis. An example is described to demonstrate how this approach can be used to meet the requirements of network forensic investigations.

2015 ◽  
Vol 742 ◽  
pp. 437-444
Author(s):  
Jian Guo Jiang ◽  
Bo Yang ◽  
Sen Lin ◽  
Ming Xing Zhang ◽  
Kun Ying Liu

In order to uncover truths to serve justice, case-related data collected from a digital investigation requires substantial resources to analyze, especially in time-critical situations. At present, however, digital forensics has not evolved to meet this ever-increasing demand. Digital forensic triage is a promising solution, as it is designed to maximize the use of resources according to a system of priorities, and hence the efficiency and effectiveness of forensic examinations can be increased. Nevertheless, the lack of concrete methods limits efforts to implement triage. This paper presents a practical approach that is designed to build a prioritizing solution. In this work a new process model is derived based on the presented approach, and it is particularly suited to scenarios where forensic examiners do not have enough time and resources to conduct a full examination and analysis. An example is described to demonstrate how this approach can be used to meet the requirements of network forensic investigations.


Batteries ◽  
2021 ◽  
Vol 7 (2) ◽  
pp. 29
Author(s):  
Leonard Kurz ◽  
Mojtaba Faryadras ◽  
Ines Klugius ◽  
Frederik Reichert ◽  
Andreas Scheibe ◽  
...  

Due to the increasing demand for battery electric vehicles (BEVs), the need for vehicle battery raw materials is increasing. The traction battery (TB) of an electric vehicle, usually a lithium-ion battery (LIB), represents the largest share of a BEV’s CO2 footprint. To reduce this carbon footprint sustainably and to keep the raw materials within a closed loop economy, suitable and efficient recycling processes are essential. In this life cycle assessment (LCA), the ecological performance of a waterjet-based direct recycling process with minimal use of resources and energy is evaluated; only the recycling process is considered, waste treatment and credits for by-products are not part of the analysis. Primary data from a performing recycling company were mainly used for the modelling. The study concludes that the recycling of 1 kg of TB is associated with a global warming potential (GWP) of 158 g CO2 equivalents (CO2e). Mechanical removal using a water jet was identified as the main driver of the recycling process, followed by an air purification system. Compared to conventional hydro- or pyrometallurgical processes, this waterjet-based recycling process could be attributed an 8 to 26 times lower GWP. With 10% and 20% reuse of recyclate in new cells, the GWP of TBs could be reduced by 4% and 8%, respectively. It has been shown that this recycling approach can be classified as environmentally friendly.


Author(s):  
Lynn Batten ◽  
Lei Pan ◽  
Nisar Khan

The need for an automated approach to forensic digital investigation has been recognized for some years, and several authors have developed frameworks in this direction. The aim of this paper is to assist the forensic investigator with the generation and testing of hypotheses in the analysis phase. In doing so, the authors present a new architecture which facilitates the move to automation of the investigative process; this new architecture draws together several important components of the literature on question and answer methodologies including the concept of ‘pivot’ word and sentence ranking. Their architecture is supported by a detailed case study demonstrating its practicality.


Author(s):  
Yuvraj Sharma

In today's switching economy, customers' needs are changing and they are demanding more transparency, higher involvement, and clear communication in day-to-day banking processes. The rationale behind carrying out the present research is to identify the role of customer analytics in the new digital customer journey in terms of enhancing their engagement, loyalty, and satisfaction. The present research emphasizes opportunities that would accrue to financial institutions after demonetization and collecting large amount of demographics, customer transaction, and account-related data. Primary data was collected from 300 customers through a structured questionnaire to know their perceptions about the role of customer analytics and digital technologies to build their confidence and capability to use financial services. This study brings out the customer analytics trends and identifies the reasons due to which banks are struggling to keep pace with the increasing demand of both digital savvy and traditional consumers.


Author(s):  
Nazanin Derakshan ◽  
Tahereh L. Ansari ◽  
Miles Hansard ◽  
Leor Shoker ◽  
Michael W. Eysenck

Effects of anxiety on the antisaccade task were assessed. Performance effectiveness on this task (indexed by error rate) reflects a conflict between volitional and reflexive responses resolved by inhibitory processes (Hutton, S. B., & Ettinger, U. (2006). The antisaccade task as a research tool in psychopathology: A critical review. Psychophysiology, 43, 302–313). However, latency of the first correct saccade reflects processing efficiency (relationship between performance effectiveness and use of resources). In two experiments, high-anxious participants had longer correct antisaccade latencies than low-anxious participants and this effect was greater with threatening cues than positive or neutral ones. The high- and low-anxious groups did not differ in terms of error rate in the antisaccade task. No group differences were found in terms of latency or error rate in the prosaccade task. These results indicate that anxiety affects performance efficiency but not performance effectiveness. The findings are interpreted within the context of attentional control theory (Eysenck, M. W., Derakshan, N., Santos, R., & Calvo, M. G. (2007). Anxiety and cognitive performance: Attentional control theory. Emotion, 7 (2), 336–353).


Proceedings ◽  
2019 ◽  
Vol 31 (1) ◽  
pp. 29 ◽  
Author(s):  
Sebastian Matthias Müller ◽  
Andreas Hein

To enable independent living for people in need of care and to accommodate the increasing demand of ambulant care due to demographic changes, a multitude of systems and applications that monitor activities and health-related data based on ambient sensors commonly found in smart homes have been developed. When such a system is used in a multi-person household, some form of identification or separation of residents is required. Most of these systems require permanent participation in the form of body-worn sensors or a complicated supervised learning procedure which may take hours or days to set up. To resolve this, we study several unsupervised learning approaches for the separation of activity data of multiple residents recorded with ambient, binary sensors such as light barriers and contact switches. We show how various clustering methods on data from a tracking system can, under optimal conditions, separate the activity of two residents with low error rates (<2%, Rand Index of 0 . 959 ). We also show that imprecisions in the underlying tracking algorithm have a significant impact on the clustering performance and that most of these errors can be corrected by adding a single “identifying sensor area” into the environment. As a consequence, activity monitoring applications need to rely less on body-worn sensors, which may be forgotten or biometric sensors, which may be perceived as a violation of privacy.


2016 ◽  
Vol 40 (3) ◽  
pp. 372-379 ◽  
Author(s):  
Susanne Schmidt ◽  
Martin Goros ◽  
Helen M. Parsons ◽  
Can Saygin ◽  
Hung-Da Wan ◽  
...  

Research service cores at academic health centers are important in driving translational advancements. Specifically, biostatistics and research design units provide services and training in data analytics, biostatistics, and study design. However, the increasing demand and complexity of assigning appropriate personnel to time-sensitive projects strains existing resources, potentially decreasing productivity and increasing costs. Improving processes for project initiation, assigning appropriate personnel, and tracking time-sensitive projects can eliminate bottlenecks and utilize resources more efficiently. In this case study, we describe our application of lean six sigma principles to our biostatistics unit to establish a systematic continual process improvement cycle for intake, allocation, and tracking of research design and data analysis projects. The define, measure, analyze, improve, and control methodology was used to guide the process improvement. Our goal was to assess and improve the efficiency and effectiveness of operations by objectively measuring outcomes, automating processes, and reducing bottlenecks. As a result, we developed a web-based dashboard application to capture, track, categorize, streamline, and automate project flow. Our workflow system resulted in improved transparency, efficiency, and workload allocation. Using the dashboard application, we reduced the average study intake time from 18 to 6 days, a 66.7% reduction over 12 months (January to December 2015).


2018 ◽  
Vol 102 (10) ◽  
pp. 1391-1395 ◽  
Author(s):  
Karsten Kortuem ◽  
Katrin Fasler ◽  
Amanda Charnley ◽  
Hussain Khambati ◽  
Sandro Fasolo ◽  
...  

BackgroundThe increasing incidence of medical retinal diseases has created capacity issues across UK. In this study, we describe the implementation and outcomes of virtual medical retina clinics (VMRCs) at Moorfields Eye Hospital, South Division, London. It represents a promising solution to ensure that patients are seen and treated in a timely fashionMethodsFirst attendances in the VMRC (September 2016–May 2017) were included. It was open to non-urgent external referrals and to existing patients in a face-to-face clinic (F2FC). All patients received visual acuity testing, dilated fundus photography and optical coherence tomography scans. Grading was performed by consultants, fellows and allied healthcare professionals. Outcomes of these virtual consultations and reasons for F2FC referrals were assessed.ResultsA total number of 1729 patients were included (1543 were internal and 186 external referrals). The majority were diagnosed with diabetic retinopathy (75.1% of internal and 46.8% of external referrals). Of the internal referrals, 14.6% were discharged, 54.5% continued in VMRC and 30.9% were brought to a F2FC. Of the external referrals, 45.5% were discharged, 37.1% continued in VMRC and 17.4% were brought to a F2FC. The main reason for F2FC referrals was image quality (34.7%), followed by detection of potentially treatable disease (20.2%).ConclusionVMRC can be implemented successfully using existing resources within a hospital eye service. It may also serve as a first-line rapid-access clinic for low-risk referrals. This would enable medical retinal services to cope with increasing demand and efficiently allocate resources to those who require treatment.


Author(s):  
José Eduardo Silva ◽  
Carlos Rodrigues

The need to improve the safety management in the maintenance and operational works on a motorway is a request that all the organizations demand to achieve better goals on safety and in the use of resources. The use of instruments linked to efficiency and effectiveness is one possible solution to this problem. The objective of the present investigation is to prove that it is possible to identify the main activities contained in the A area of an ABC curve and linked to the Pareto´s concepts, defining this way the 20% most dangerous maintenance and operational activities on motorway works. The methodology used was a DELPHI panel formed by experts from different areas linked to safety at work on motorways. The statistic treatment was made through the informatic program IBM SPSS Statistics 24. The results show that it is possible to identify 36 main activities in maintenance and operational works, being relevant the activities related to emergency response, safety guards, expansion joints, provisional signaling and the access to working stations in toll areas. The conclusions of the study reveal that these 36 activities represent the 20% most dangerous activities in maintenance and operational works on a motorway, and show that besides the risks of the work itself, there are four crucial traffic factors to develop a correct risk analysis: weather conditions, traffic characteristics, pavement characteristics and motorway morphologic type.


2006 ◽  
Vol 3 (1) ◽  
pp. 67 ◽  
Author(s):  
Aliza Ramli ◽  
Suzana Sulaiman

Management accounting is regarded as an essential part in any organizational activity. Management accounting information will enable internal users to make decision effectively and contribute to the improvement ofthe efficiency and effectiveness ofexisting operation. According to International Federation ofAccountants Committee (IFAC), management accounting has evolved from focusing on cost determination and financial control to creation of value through effective use of resources. The roles of management accountants have also changed in line with the changes in management accounting techniques. Nowadays they act as the organization s internal business consultants and part of the multi-functional team. Management accounting has faced a sustained challenge in recent years as debate intensifies pver the future shape and form, which it should take. The purpose of this study was to examine Malaysian management accountants' tasks, roles, management accounting tools within a specified period - 2000 to 2004 and 2005 to 2009. The factors that drive these changes were also examined. The results provide evidence that management accountants' task, roles, management accounting tools and techniques changed overtime.


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