Dutch compound splitting for bilingual terminology extraction

Compounds pose a problem for applications that rely on precise word alignments such as bilingual terminology extraction. We therefore developed a state-of-the-art hybrid compound splitter for Dutch that makes use of corpus frequency information and linguistic knowledge. Domain-adaptation techniques are used to combine large out-of-domain and dynamically compiled in-domain frequency lists. We perform an extensive intrinsic evaluation on a Gold Standard set of 50,000 Dutch compounds and a set of 5,000 Dutch compounds belonging to the automotive domain. We also propose a novel methodology for word alignment that makes use of the compound splitter. As compounds are not always translated compositionally, we train the word alignment models twice: a first time on the original data set and a second time on the data set in which the compounds are split into their component parts. The obtained word alignment points are then combined

Az autóipar szerkezeti átrendeződése – Vállalati stratégiák és a válság hatásai (Structural change in the automotive industry – corporate strategies and the impact of the crisis)

Az írás a globális értékláncok élén álló autóipari cégek világgazdasági válságra adott reakcióit foglalja össze. Megállapítja, hogy a válságnak messze nincs vége: az iparág globális átrendeződése folytatódik. A globális értékláncokba sikeresen betagozódott közép-európai autóipari klaszter ezeknek a folyamatoknak mindmáig nyertese volt. Számolni kell azonban azzal, hogy továbbra is sok a technológiai és a piaci bizonytalanság: az új szereplők belépése, új üzleti modellek elterjedése hosszabb távon felboríthatja a jelenlegi status quo-t, és veszélyeztetheti a hagyományos autóipari befektetőiket munkabér-alapú versenyképességgel megtartani próbáló közép- és kelet-európai országok pozícióit. Az autóipari működő tőkét fogadó közép-kelet-európai országok számára hosszabb távon veszélyt jelenthet az autóipari üzleti modellek átalakulása, a gyártás teljes kiszervezése komplex gyártási szolgáltatást vállaló cégekhez, mivel ez esetben az értéklánc vezető vállalatai bezárhatják a régióban működő gyártóbázisaikat. Az értékláncok élén álló globális cégek „menekülés a minőségbe” stratégiája helyi szinten is követhető, követendő, a működő tőkét fogadó országok versenyképessége kizárólag a helyi leányvállalatok állandó „feljebb lépésével” tartható fenn. ______ This paper summarizes lead firms’ reactions to crisis in global automotive value chains. The paper advances five theses. Author argues that crisis is not over yet, the global restructuring of the industry continues. Actors in the CEE automotive cluster have successfully become integrated into global value chains and have thereby been the winners of past restructuring processes. Nevertheless, technological and market uncertainties prevail: entry of new economic actors and the diffusion of new business models may, in the long run, disrupt the current status quo and jeopardise the world economic position of CEE countries that have been relying solely on their labour cost advantages to sustain direct investment inflows in their automotive industries. In the long run the automotive industries of Central and Eastern European (CEE) economies may become threatened by the transformation of the prevailing automotive business model, the outsourcing of manufacturing and related support activities to complex manufacturing services providers, which could lead to the closure of lead firms’ manufacturing facilities in CEE. Lead firms’ increased focus on high quality high value adding activities strategy can and should be followed by local subsidiaries through a continuous strive for upgrading

Evaluation of Variability Concepts for Simulink in the Automotive Domain

Modeling variability in Matlab/Simulink becomes more and more important. We took the two variability modeling concepts already included in Matlab/Simulink and our own one and evaluated them to find out which one is suited best for modeling variability in the automotive domain. We conducted a controlled experiment with developers at Volkswagen AG to decide which concept is preferred by developers and if their preference aligns with measurable performance factors. We found out that all existing concepts are viable approaches and that the delta approach is both the preferred concept as well as the objectively most efficient one, which makes Delta-Simulink a good solution to model variability in the automotive domain.Comment: 10 pages, 7 figures, 6 tables, Proceedings of 48th Hawaii International Conference on System Sciences (HICSS), pp. 5373-5382, Kauai, Hawaii, USA, IEEE Computer Society, 201

Business Case and Technology Analysis for 5G Low Latency Applications

A large number of new consumer and industrial applications are likely to change the classic operator's business models and provide a wide range of new markets to enter. This article analyses the most relevant 5G use cases that require ultra-low latency, from both technical and business perspectives. Low latency services pose challenging requirements to the network, and to fulfill them operators need to invest in costly changes in their network. In this sense, it is not clear whether such investments are going to be amortized with these new business models. In light of this, specific applications and requirements are described and the potential market benefits for operators are analysed. Conclusions show that operators have clear opportunities to add value and position themselves strongly with the increasing number of services to be provided by 5G.Comment: 18 pages, 5 figure

Application Of Dynamic Correlation Technique And Model Updating On Truck Chassis

Truck chassis is a major component in a vehicle system. It is often identified for refinement in order to develop vehicles with reduced cost and weight. Nowadays the process of chassis design in the automotive industry has been significantly refined with the high capabilities of advanced computer aided design and engineering tools,. The application of FEA such as structural modification and optimization is used to reduce component complexity, weight and subsequently cost. Because the level of model complexity can be high, the opportunity for error can also be high. For this reason, some form of model verification is needed before design decisions made in the FEA environment can be implemented in production. This paper looks into the application of dynamic correlation techniques for verification of the FEA models of truck chassis. The dynamic characteristics of truck chassis such as the natural frequency and mode shape were determined using finite element method. Experimental modal analysis was carried out to validate the FE models. Initial results from both analysis show that the truck chassis experienced 1st torsion mode for 1st natural frequency, 1st bending mode for 2nd natural frequency, 2nd torsion mode for 3rd natural frequency and 2nd bending mode for 4th natural frequency. However there is a small discrepancy in terms of frequency. Thus, the model updating of truck chassis model was done by adjusting the selective properties such as Modulus Young and Poisson ratio in order to get better agreement in the natural frequency between both analysis. Finally, the modifications of the updated FE truck chassis model was suggested such as by considering adding the stiffener. The purpose is to reduce the vibration as well as to improve the strength of the truck chassis

The degree of JIT in mineral oil and asphalt industries in Libya

The focus of this research is to show the degree of the Just-in-time system implementation in mineral oil and asphalt manufacturing industries in Libya and to evaluate the availability of its elements, which are management support, human, inventory management, total quality management and their relationship with the cost and competitiveness. Also, to know the challenges those are faced in this system implementation. A 650 questionnaire was developed for the workers in the mineral oil and asphalt manufacturing industries in Libya and tested using the collected data that was gained from the sample. The interview was made with 16 managers and responsible people in the area to discuss the possibility level of the JIT implementation and the problems that may prevent the implementation. T- Test and F- test used through a simple linear regression and multiple regressions to identify the best model for the research variables. The findings strongly supported the hypotheses that the four main elements are available. The simple linear regression showed that all elements have a significant relationship with costs and only three have a relationship with a competitive position. The findings of this research showed that the lack of the awareness about the importance of JIT in the target factories is the limitation of this research. Also, the finding showed that the overseas suppliers, the lack of management support are the most challenges that prevent JIT implementation. Finally, the recommendations were made according to the findings, which were the importance of introducing the JIT and its advantages to the oil industries in Libya and trying to overcome the obstacles that may prevent its implementation. This research emphasizes that the success of this system depends on both humans and technology, therefore, four elements are suggested as the most important elements to succeed with the JIT implementation in the long term strategy implementation

Development and Validation of Functional Model of a Cruise Control System

Modern automobiles can be considered as a collection of many subsystems working with each other to realize safe transportation of the occupants. Innovative technologies that make transportation easier are increasingly incorporated into the automobile in the form of functionalities. These new functionalities in turn increase the complexity of the system framework present and traceability is lost or becomes very tricky in the process. This hugely impacts the development phase of an automobile, in which, the safety and reliability of the automobile design should be ensured. Hence, there is a need to ensure operational safety of the vehicles while adding new functionalities to the vehicle. To address this issue, functional models of such systems are created and analysed. The main purpose of developing a functional model is to improve the traceability and reusability of a system which reduces development time and cost. Operational safety of the system is ensured by analysing the system with respect to random and systematic failures and including safety mechanism to prevent such failures. This paper discusses the development and validation of a functional model of a conventional cruise control system in a passenger vehicle based on the ISO 26262 Road Vehicles - Functional Safety standard. A methodology for creating functional architectures and an architecture of a cruise control system developed using the methodology are presented.Comment: In Proceedings FESCA 2016, arXiv:1603.0837

Green-Technology Automobiles: Can modern innovations save the environment and consumers\u27 pockets

Cars of the past are notorious for poor fuel efficiency and high carbon emissions. With the presence of hybrid technology, along with a variety of other green innovations, many of these negative side effects can be mitigated. The purpose of this study is to answer the question: how do green technology vehicles compare with similar models that exclude such innovations in relation to efficiency and price? A total of 47 green-tech vehicles were identified and compared against their base model counterparts. Vehicle weight, horsepower, fuel efficiency and other variables were matched within pairs (green-tech vs. base) and between car types (sedans, SUVs and trucks). Regardless of vehicle type and green-tech, weight proved to be an influential factor, showing that as curb weight increased, fuel efficiency decreased. Compared to the base models, green-tech luxury vehicles also exhibited few improvements in fuel efficiency with disproportionately high growth in price. Non-luxury green-tech sedans ranging from 2500lbs to 4000lbs showed the largest improvements in efficiency while also maintaining an average MSRP of $28996±1089, producing a green-tech vehicle that is economically affordable. The impressive results from this category of vehicles suggest that consumer investment in non-luxury green sedans may not only help to save money in fuel consumption, but also save the environment