nils-herrmann/clean_scirepeval huggingface dataset:
Chapter 4 . 9 Enterprise Resource Planning ( ERP ) Implementations : Theory and Practice

Enterprise resource planning (ERP) systems have been widely implemented by numerous firms throughout the industrial world. While success stories of ERP implementation abound due to its potential in resolving the problem of fragmented information, a substantial number of these implementations fail to meet the goals of the organization. Some are abandoned altogether and others contribute to the failure of an organization. This article seeks to identify the critical factors of ERP implementation and uses statistical analysis to further delineate the patterns of adoption of the various concepts. A cross-sectional mail survey was mailed to business executives who have experience in the implementation of ERP systems. The results of this study provide empirical evidence that the theoretical constructs of ERP implementation are followed at varying levels. It offers some fresh insights into the current practice of ERP implementation. In addition, this study fills the need for ERP implementation constructs that can be utilized for further study of this important topic.
Analysis of Snake Movement Forms for Realization of Snake-Like Robots

k e 9  2006 O 1 2 ACTA AUTOMATICA SINICA January, 2006 82 7? CPG , ? ". C4; 1) INH1, 3, 4 JKF1, 2 G D1 LME1 1(W" z. jd8,EYpz\\ 110016) 2(u = Hz COE(Center of Excellence) <pE g. 525-8577 u ) ( Hz 110168) 4(W" z. y . s 100039) (E-mail: luzhl@sia.cn) < 5 ~ P}*}nFZqTf L4f1℄ ~< Q CPG \? 4 \( }nFZq uD6?j }nFZq?j |= E( CPG ?jmy 4f QT br 3<! E(ÆX FT A QT CPG -!adyu r1 <(m1T zy _ } }nFZq X ? r Z ~< Q y 4f & TP24
Image morphing for space-time interpolation

The human brain automatically attempts to interpret the physical visual inputs from our eyes in terms of plausible motion of the viewpoint and/or of the observed object or scene [Ellis 1938; Graham 1965; Giese and Poggio 2003]. In the physical world, the rules that define plausible motion are set by temporal coherence, parallax, and perspective projection. Our brain, however, refuses to feel constrained by the unrelenting laws of physics in what it deems plausible motion. Image metamorphosis experiments, in which unnatural, impossible in-between images are interpolated, demonstrate that under certain circumstances, we willingly accept chimeric images as plausible transition stages between images of actual, known objects [Beier and Neely 1992; Seitz and Dyer 1996]. Or think of cartoon animations which for the longest time were hand-drawn pieces of art that didn't need to succumb to physical correctness. The goal of our work is to exploit this freedom of perception for space-time interpolation, i.e., to generate transitions between still images that our brain accepts as plausible motion in a moving 3D world.
Vehicles overtaking detection using RGB-D data

Outstanding breakthrough in traffic video surveillance has been made with the development of computer vision techniques. However, there are still some problems to be solved due to the limitations of two-dimensional (2D) video data. With the popularity of threedimensional (3D) cameras, high-quality color and depth data can be obtained simultaneously in real time through the video stream. In this paper, we propose a vehicles overtaking detection method using RGB-D data captured by the Kinect device in simulated traffic scenes. Vehicles are detected and tracked with a robust traffic scene understanding on RGB-D data. The depth data is utilized to recognize vehicles overtaking by analyzing the posture change of vehicles in different scenes. The principle of vehicles overtaking detection is to fit the line of vehicle side in the coordinate system and calculate the angle between the vehicle side and the road orientation. As a consequence, the posture change of the vehicle can be recognized. The proposed method is evaluated using simulation experiments which show that our work has good performance in vehicles overtaking detection and tracking. & 2014 Elsevier B.V. All rights reserved.
Sedimentology and Climatic Environment of Alluvial Fans in the Martian

The deflated surfaces of the alluvial fans in Saheki crater reveal the most detailed 28 record of fan stratigraphy and evolution found, to date, on Mars. During deposition of at least the 29 uppermost 100 m of fan deposits, discharges from the source basin consisted of channelized 30 flows transporting sediment (which we infer to be primarily sandand gravel-sized) as bedload 31 coupled with extensive overbank mud-rich flows depositing planar beds of sand-sized or finer 32 sediment. Flow events are inferred to have been of modest magnitude (probably less than ~60 33 m 3 /s), of short duration, and probably occupied only a few distributaries during any individual 34 flow event. Occasional channel avulsions resulted in the distribution of sediment across the 35 entire fan. A comparison with fine-grained alluvial fans in Chile’s Atacama Desert provides 36 insights into the processes responsible for constructing the Saheki crater fans: sediment is 37 deposited by channelized flows (transporting sand through boulder-sized material) and overbank 38 mudflows (sand size and finer) and wind erosion leaves channels expressed in inverted 39 topographic relief. The most likely source of water was snowmelt released after annual or 40 epochal accumulation of snow in the headwater source basin on the interior crater rim during the 41 Hesperian to Amazonian periods. We infer the Saheki fans to have been constructed by many 42 hundreds of separate flow events, and accumulation of the necessary snow and release of 43 meltwater may have required favorable orbital configurations or transient global warming.
Robust Thruster Fault Diagnosis : Application to the rendezvous phase of the Mars Sample Return mission

This paper addresses robust fault diagnosis of the chaser’s thrusters used for the rendezvous phase of the Mars Sample Return (MSR) mission. The MSR mission is a future exploration mission undertaken jointly by the National Aeronautics and Space Administration (NASA) and the European Space Agency (ESA). The goal is to return tangible samples from Mars atmosphere and ground to Earth for analysis. A residual-based scheme is proposed that is robust against the presence of unknown time-varying delays induced by the thruster modulator unit. The proposed fault diagnosis design is based on Eigenstructure Assignment (EA) and first-order Padé approximation. The resulted method is able to detect quickly any kind of thruster faults and to isolate them using a cross-correlation based test. Simulation results from the MSR ”high-fidelity” industrial simulator, provided by Thales Alenia Space, demonstrate that the proposed method is able to detect and isolate some thruster faults in a reasonable time, despite of delays in the thruster modulator unit, inaccurate navigation unit, and spatial disturbances (i.e. J2 gravitational perturbation, atmospheric drag, and solar radiation pressure). Robert Fonod IMS laboratory, University of Bordeaux 1, 351 cours de la libération, 33405 Talence, France e-mail: robert.fonod@ims-bordeaux.fr David Henry IMS laboratory, University of Bordeaux 1, 351 cours de la libération, 33405 Talence, France e-mail: david.henry@ims-bordeaux.fr Catherine Charbonnel Thales Alenia Space, 100 Boulevard du Midi, 06156 Cannes La Bocca, France e-mail: catherine.charbonnel@thalesaleniaspace.com Eric Bornschlegl European Space Research and Technology Centre, Keplerlaan 1, 2200 AG Noordwijk, Netherlands e-mail: eric.bornschlegl@esa.int 1 Proceedings of the EuroGNC 2013, 2nd CEAS Specialist Conference on Guidance, Navigation & Control, Delft University of Technology, Delft, The Netherlands, April 10-12, 2013 FrBT2.2
How to Put Organizational Ambidexterity into Practice - Towards a Maturity Model

Organizational ambidexterity (OA) is a vital capability for surviving in dynamic business environments by simultaneously pursuing exploitation, i.e., continuous streamlining of business processes, and exploration, i.e., radical innovation of products, services, and processes. During the last years, OA knowledge has continuously matured, comprising insights into performance outcomes, antecedents, and moderators. However, there is a lack of guidance on how to put OA into practice. Addressing this challenge, our research is geared toward the development of an organizational ambidexterity maturity model (OAMM) using a design science research approach. Our OAMM follows a prescriptive purpose of use, helping organizations select actionable practices. To develop our maturity model, we first reviewed the general OA literature to identify actionable practices. Second, we built on the six core elements of BPM, i.e., strategic alignment, governance, methods, information technology, people, and culture, to structure identified practices. Third, we used card sorting to assign practices to maturity levels. We evaluated our OAMM with respect to general design principles for maturity models. Our work lays the foundations for the structured development of OA capabilities and for future research in this area.
Transalg: a Tool for Translating Procedural Descriptions of Discrete Functions to SAT (Tool Paper)

In this paper we present the Transalg system, designed to pro duce SAT encodings for discrete functions, written as programs i n a specific language. Translation of such programs to SAT is based on propositiona l e coding methods for formal computing models and on the concept of symboli c execution. We used the Transalg system to make SAT encodings for a number of cryptographic functions.
Trusted framework for online banking in public cloud using multi-factor authentication and privacy protection gateway

Cloud computing is an emerging, revenue generating and internet based technology, where computing power, storage and other resources are provided to the stakeholders in a single package. The traditional online banking systems can make use of the cloud framework for providing economical and high-speed online service to the consumers. This paper first describes a systematic Multi-factor bio-metric Fingerprint Authentication (MFA) approach which provides a high-secure identity verification process for validating the legitimacy of the remote users. The significance of this approach is that the authentication credentials of the users are not revealed to the bank and cloud authentication servers, but allows the servers to perform remote users’ authentication. We then extend this investigated framework to develop a privacy protection gateway for obscuring and desensitizing the customers’ account details using tokenization and data anonymization techniques. This approach retains the original format of data fields at various levels of the database management systems and makes the data worthless to others except the owner. In addition to designing an efficient MFA, through extensive experimental results we illustrate our privacy protection gateway is practical and effective.
A Machine Learning Approach for Detection of Fraud based on SVM

the growth of e-commerce increases the money transaction via electronic network which is designed for hassle free fast & easy money transaction but the facility involves greater risk of misuse of facility for fraud one of them is credit card fraud it can be happened by many types as by stolen card, by internet hackers who can hack your system & get important information about your card, or by information leakage during the transaction, although many person has proposed their work for credit card fraud detection by characterizing the user spending profile, but in this paper we are proposing the SVM(support vector machine) based method with multiple kernel involvement also including several fields of user profile instead of only spending profile & the simulation result shows improvement in TP(true positive),TN(true negative) rate, it also decreases the FP(false positive) & FN(false negative) rate.
Forensic Features of Clothing-Related Deaths: Historical and Cultural Aspects.

Clothing may both cause death and contribute to ongoing lethal mechanisms by a variety of quite disparate mechanisms. The manner of death may be accidental, suicidal, or homicidal. Accidental deaths include burning from clothing catching on fire, strangulation from clothing tangling in vehicle wheels or exposed machinery, and drowning. Entanglement of clothing in machinery may also result in significant injuries, which are not uncommon in farming communities. Excessive clothing, or its absence, may significantly alter body temperature, and hanging from clothing is a feature in the young or in mentally or physically handicapped adults, or in adults who are intoxicated with alcohol or drugs. In previous years, potentially lethal amounts of arsenic were present in clothing and accessories from dyes. Clothing may also be used to form nooses or to pad ropes in suicides and may be used in cases of strangulation, suffocation, or choking in homicides. The contribution of clothing to mortality has changed over the years with changes in fashions and in manufacturing techniques. Geographical differences in clothing-related deaths persist because of variable social and cultural practices and legislative frameworks.
A Comprehensive Survey of Deep Learning in Remote Sensing: Theories, Tools and Challenges for the Community

In recent years, deep learning (DL), a rebranding of neural networks (NNs), has risen to the top in numerous areas, namely computer vision (CV), speech recognition, and natural language processing. Whereas remote sensing (RS) possesses a number of unique challenges, primarily related to sensors and applications, inevitably RS draws from many of the same theories as CV, e.g., statistics, fusion, and machine learning, to name a few. This means that the RS community should not only be aware of advancements such as DL, but also be leading researchers in this area. Herein, we provide the most comprehensive survey of state-of-the-art RS DL research. We also review recent new developments in the DL field that can be used in DL for RS. Namely, we focus on theories, tools, and challenges for the RS community. Specifically, we focus on unsolved challenges and opportunities as they relate to (i) inadequate data sets, (ii) human-understandable solutions for modeling physical phenomena, (iii) big data, (iv) nontraditional heterogeneous data sources, (v) DL architectures and learning algorithms for spectral, spatial, and temporal data, (vi) transfer learning, (vii) an improved theoretical understanding of DL systems, (viii) high barriers to entry, and (ix) training and optimizing the DL.
A Model-Based Approach for Automotive Software Development

Integrated model-based specification techniques facilitate the definition of seamless development processes for electronic control units (ECUs) including support for domain specific issues such as management of signals, the integration of isolated logical functions or the deployment of functions to distributed networks of ECUs. A fundamental prerequisite of such approaches is the existence of an adequate modeling notation tailored to the specific needs of the application domain together with a precise definition of its syntax and its semantics. However, although these constituents are necessary, they are not sufficient for guaranteeing an efficient development process of ECU networks. In addition, methodical support which guides the application of the modeling notation must be an integral part of a model-based approach. Therefore we propose the introduction of a so-called ’system model’ which comprises all of these constituents. A major part of this system model constitutes the Automotive Modeling Language (AML), an architecture centric modeling language. The system model further comprises specifically tailored modeling notations derived from the Unified Modeling Language (UML) or the engineering tool ASCET-SD or general applicable structuring mechanisms like abstraction levels which support the definition of an AML relevant well-structured development process.
Recurrent ATP2A2 p.(Pro602Leu) mutation differentiates Acrokeratosis verruciformis of Hopf from the allelic condition Darier disease.

Darier disease and Acrokeratosis Verruciformis of Hopf (AKV) are rare disorders of keratinization with autosomal dominant inheritance and very distinct clinical pictures. Both have been shown to be caused by mutations in ATP2A2 (ATPase, Ca++ transporting, cardiac muscle, slow-twitch) a gene encoding one of the SERCA (sarcoplasmic/endoplasmic reticulum calcium ATPase2) intracellular pumps with a crucial role in cell-to-cell adhesion in both skin and heart. While hundreds of different missense and nonsense mutations cause Darier disease, only one missense mutation, p.(Pro602Leu), has been identified in families with AKV. We report a family with AKV due to the p.(Pro602Leu) mutation and discuss implications for this recurrent mutation on knowledge of ATP2A2 structure and function.
Speaker diarization from speech transcripts

The aim of this study is to investigate the use of the linguistic information present in the audio signal to structure broadcast news data, and in particular to associate speaker identities with audio segments. While speaker recognition has been an active area of research for many years, addressing the problem of identifying speakers in huge audio corpora is relatively recent and has been mainly concerned with speaker tracking. The speech transcriptions contain a wealth of linguistic information that is useful for speaker diarization. Patterns which can be used to identify the current, previous or next speaker have been developed based on the analysis of 150 hours of manually transcribed broadcast news data. Each pattern is associated with one or more rules. After validation on the training transcripts, these patterns and rules were tested on an independent data set containing transcripts of 10 hours of broadcasts.
Active Disk Architecture for Databases

Today’s commodity disk drives, the basic unit of storage for computer systems large and small, are actually small computers, with a processor, memory and a network connection, in addition to the spinning magnetic material that stores the data. Large collections of data are becoming larger, and people are beginning to analyze, rather than simply store-and-forget, these masses of data. At the same time, advances in I/O performance have lagged the rapid development of commodity processor and memory technology. This paper describes the use of Active Disks to take advantage of the processing power on individual disk drives to run a carefully chosen portion of a relational database system. Moving a portion of the database processing to execute directly at the disk drives improves performance by: 1) dramatically reducing data traffic; and 2) exploiting the parallelism in large storage systems. It provides a new point of leverage to overcome the I/O bottleneck. This paper discusses how to map all the basic database operations select, project, and join onto an Active Disk system. The changes required are small and the performance gains are dramatic. A prototype based on the Postgres database system demonstrates a factor of 2x performance improvement on a small system using a portion of the TPC-D decision support benchmark, with the promise of larger improvements in more realistically-sized systems. Active Disk Architecture for Databases Erik Riedel1, Christos Faloutsos, David Nagle April 2000 CMU-CS-00-145 This research was sponsored by DARPA/ITO through ARPA Order D306, and issued by Indian Head Division, NSWC under contract N00174-96-0002.   We are indebted to generous contributions from the member companies of the Parallel Data Consortium. At the time of this writing, these companies include Hewlett-Packard Laboratories, LSI Logic, Data General, EMC, Compaq, Intel, 3Com, Quantum, IBM, Seagate Technology, Hitachi, Infineon, Novell, and Wind River Systems. The views and conclusions contained in this document are those of the authors and should not be interpreted as representing the official policies, either expressed or implied, of any supporting organization or the U.S. Government. 1. now with Hewlett-Packard Labs, riedel@hpl.hp.com
Accessibility : In-Depth Evaluation of Saudi Arabia and Oman

This paper explores three main areas, firstly, website accessibility guidelines; secondly, website accessibility tools and finally the implication of human factors in the process of implementing successful e-Government websites. It investigates the issues that make a website accessible and explores the importance placed on web usability and accessibility with respect to e-Government websites. It briefly examines accessibility guidelines, evaluation methods and analysis tools. It then evaluates the web accessibility of e-Government websites of Saudi Arabia and Oman by adapting the ‘W3C Web Content Accessibility Guidelines’. Finally, it presents recommendations for improvement of e-Government website accessibility.
Queue scheduling and advance reservations with COSY

Most of current job scheduling systems for supercomputers and clusters provide batch queuing support. With the development of metacomputing and grid computing, users require resources managed by multiple local job schedulers. Advance reservations are becoming essential for job scheduling systems to be utilized within a large-scale computing environment with geographically distributed resources. COSY is a lightweight implementation of such a local job scheduler with support for both queue scheduling and advance reservations. COSY queue scheduling utilizes the FCFS algorithm with backfilling mechanisms and priority management. Advance reservations with COSY can provide effective QoS support for exact start time and latest completion time. Scheduling polices are defined to reject reservations with too short notice time so that there is no start time advantage to making a reservation over submitting to a queue. Further experimental results show that as a larger percentage of reservation requests are involved, a longer mandatory shortest notice time for advance reservations must be applied in order not to sacrifice queue scheduling efficiency.
That Smarts!: Smartphones and Child Injuries

From 2005 to 2012, injuries to children under five increased by 10%. Using the expansion of ATT’s 3G network, I find that smartphone adoption has a causal impact on child injuries. This effect is strongest amongst children ages 0-5, but not children ages 6-10, and in activities where parental supervision matters. I put this forward as indirect evidence that this increase is due to parents being distracted while supervising children, and not due to increased participation in accident-prone activities.
Co-overexpression of geraniol-10-hydroxylase and strictosidine synthase improves anti-cancer drug camptothecin accumulation in Ophiorrhiza pumila

Camptothecin (CPT) belongs to a group of monoterpenoidindole alkaloids (TIAs) and its derivatives such as irinothecan and topothecan have been widely used worldwide for the treatment of cancer, giving rise to rapidly increasing market demands. Genes from Catharanthus roseus encoding strictosidine synthase (STR) and geraniol 10-hydroxylase (G10H), were separately and simultaneously introduced into Ophiorrhiza pumila hairy roots. Overexpression of individual G10H (G lines) significantly improved CPT production with respect to non-transgenic hairy root cultures (NC line) and single STR overexpressing lines (S lines), indicating that G10H plays a more important role in stimulating CPT accumulation than STR in O. pumila. Furthermore, co-overexpression of G10H and STR genes (SG Lines) caused a 56% increase on the yields of CPT compared to NC line and single gene transgenic lines, showed that simultaneous introduction of G10H and STR can produce a synergistic effect on CPT biosynthesis in O. pumila. The MTT assay results indicated that CPT extracted from different lines showed similar anti-tumor activity, suggesting that transgenic O. pumila hairy root lines could be an alternative approach to obtain CPT. To our knowledge, this is the first report on the enhancement of CPT production in O. pumila employing a metabolic engineering strategy.