Moussab/ORKG-training-evaluation-set huggingface dataset:
Research field: Science
Title: Strategic fleet size planning for maritime refrigerated containers
Abstract: In the present economic climate, it is often the case that profits can only be improved, or for that matter maintained, by improving efficiency and cutting costs. This is particularly notorious in the shipping business, where it has been seen that the competition is getting tougher among carriers, thus alliances and partnerships are resulting for cost effective services in recent years. In this scenario, effective planning methods are important not only for strategic but also operating tasks, covering their entire transportation systems. Container fleet size planning is an important part of the strategy of any shipping line. This paper addresses the problem of fleet size planning for refrigerated containers, to achieve cost-effective services in a competitive maritime shipping market. An analytical model is first discussed to determine the optimal size of an own dry container fleet. Then, this is extended for an own refrigerated container fleet, which is the case when an extremely unbalanced trade represents one of the major investment decisions to be taken by liner operators. Next, a simulation model is developed for fleet sizing in a more practical situation and, by using this, various scenarios are analysed to determine the most convenient composition of refrigerated fleet between own and leased containers for the transpacific cargo trade.
Extracted statement — Method: Simulation
Research field: Science
Title: A large-scale LED array to support anticipatory driving
Abstract: We present a novel assistance system which supports anticipatory driving by means of fostering early deceleration. Upcoming technologies like Car2X communication provide information about a time interval which is currently uncovered. This information shall be used in the proposed system to inform drivers about future situations which require reduced speed. Such situations include traffic jams, construction sites or speed limits. The HMI is an optical output system based on line arrays of RGB-LEDs. Our contribution presents construction details as well as user evaluations. The results show an earlier deceleration of 3.9 – 11.5 s and a shorter deceleration distance of 2 – 166 m.
Extracted statement — type: Speed
Research field: Science
Title: GPS enabled speed control embedded system speed limiting device with display and engine control interface
Abstract: In the past decade, there have been close to 350,000 fatal crashes in the United States [1]. With various improvements in traffic and vehicle safety, the number of such crashes is decreasing every year. One of the ways to reduce vehicle crashes is to prevent excessive speeding in the roads and highways. The paper aims to outline the design of an embedded system that will automatically control the speed of a motor vehicle based on its location determined by a GPS device. The embedded system will make use of an AVR ATMega128 microcontroller connected to an EM-406A GPS receiver. The large amount of location input data justifies the use of an ATMega128 microcontroller which has 128KB of programmable flash memory as well as 4KB SRAM, and a 4KB EEPROM Memory [2]. The output of the ATMega128 will be a DOGMI63W-A LCD module which will display information of the current and the set-point speed of the vehicle at the current position. A discrete indicator LED will flash at a pre-determined frequency when the speed of the vehicle has exceeded the recommended speed limit. Finally, the system will have outputs that will communicate with the Engine Control Unit (ECU) of the vehicle. For the limited scope of this project, the ECU is simulated as an external device with two inputs that will acknowledge pulse-trains of particular frequencies to limit the speed of a vehicle. The speed control system will be programmed using mixed language C and Assembly with the latter in use for some pre-written subroutines to drive the LCD module. The GPS module will transmit National Marine Electronics Association (NMEA) data strings to the microcontroller (MCU) using Serial Peripheral Interface (SPI). The MCU will use the location coordinates (latitude and longitude) and the speed from the NMEA RMC output string. The current speed is then compared against the recommended speed for the vehicle's location. The memory locations in the ATMega128 can be used to store set-point speed values against a particular set of location co-ordinates. Apart from its implementation in human operated vehicles, the project can be used to control speed of autonomous cars and to implement the idea of a variable speed limit on roads introduced by the Department of Transportation [3].
Extracted statement — type: Speed
Research field: Science
Title: ChaseLight
Abstract: In order to support drivers to maintain a predefined driving speed, we introduce ChaseLight, an in-car system that uses a programmable LED stripe mounted along the A-pillar of a car. The chase light (i.e., stripes of adjacent LEDs that are turned on and off frequently to give the illusion of lights moving along the stripe) provides ambient feedback to the driver about speed. We present a simulator based user study that uses three different types of feedback: (1) chase light with constant speed, (2) with proportional speed (i.e., chase light speed correlates with vehicle speed), and (3) with adaptive speed (i.e., chase light speed adapts to a target speed of the vehicle). Our results show that the adaptive condition is suited best to help a driver to control driving speed. The proportional speed condition resulted in a significantly slower mean speed than the baseline condition (no chase light).
Extracted statement — type: Speed
Research field: Science
Title: heart rate
Abstract: Electric Vehicles (EVs) are an emerging technology and open up an exciting new space for designing in-car interfaces. This technology enhances driving experience by a strong acceleration, regenerative breaking and especially a reduced noise level. However, engine vibrations and sound transmit valuable feedback to drivers of conventional cars, e.g. signaling that the engine is running and ready to go. We address this lack of feedback with Heartbeat, a multimodal electric vehicle information system. Heartbeat communicates (1) the state of the electric drive including energy flow and (2) the energy level of the batteries in a natural and experienceable way. We enhance the underlying Experience Design process by formulating working principles derived from an experience story in order to transport its essence throughout the following design phases. This way, we support the design of a consistent experience and resolve the tension between implementation constraints (e.g., space) and the persistence of the underlying story while building prototypes and integrating them into a technical environment (e.g., a dashboard).
Extracted statement — type: State
Research field: Science
Title: Energy-efficient communication protocol for wireless microsensor networks
Abstract: Wireless distributed microsensor systems will enable the reliable monitoring of a variety of environments for both civil and military applications. In this paper, we look at communication protocols, which can have significant impact on the overall energy dissipation of these networks. Based on our findings that the conventional protocols of direct transmission, minimum-transmission-energy, multi-hop routing, and static clustering may not be optimal for sensor networks, we propose LEACH (Low-Energy Adaptive Clustering Hierarchy), a clustering-based protocol that utilizes randomized rotation of local cluster based station (cluster-heads) to evenly distribute the energy load among the sensors in the network. LEACH uses localized coordination to enable scalability and robustness for dynamic networks, and incorporates data fusion into the routing protocol to reduce the amount of information that must be transmitted to the base station. Simulations show the LEACH can achieve as much as a factor of 8 reduction in energy dissipation compared with conventional outing protocols. In addition, LEACH is able to distribute energy dissipation evenly throughout the sensors, doubling the useful system lifetime for the networks we simulated.
Extracted statement — Dynamism: Static
Research field: Science
Title: Video Variants for CrowdRE: How to Create Linear Videos, Vision Videos, and Interactive Videos
Abstract: In CrowdRE, heterogenous crowds of stakeholders are involved in requirements elicitation. One major challenge is to inform several people about a complex and sophisticated piece of software so that they can effectively contextualize and contribute their opinions and insights. Overly technical or boring textual representations might lead to misunderstandings or even repel some people. Videos may be better suited for this purpose. There are several variants of video available: Linear videos have been used for tutorials on YouTube and similar platforms. Interactive media have been proposed for activating commitment and valuable feedback. Vision videos were explicitly introduced to solicit feedback about product visions and software requirements. In this paper, we describe essential steps of creating a useful video, making it interactive, and presenting it to stakeholders. We consider four potentially useful types of videos for CrowdRE and how to produce them. To evaluate feasibility of this approach for creating video variants, all presented steps were performed in a case study.
Extracted statement — has study: study
Research field: Science
Title: Learning blood management in orthopedic surgery through gameplay
Abstract: Orthopedic surgery treats the musculoskeletal system, in which bleeding is common and can be fatal. To help train future surgeons in this complex practice, researchers designed and implemented a serious game for learning orthopedic surgery. The game focuses on teaching trainees blood management skills, which are critical for safe operations. Using state-of-the-art graphics technologies, the game provides an interactive and realistic virtual environment. It also integrates game elements, including task-oriented and time-attack scenarios, bonuses, game levels, and performance evaluation tools. To study the system's effect, the researchers conducted experiments on player completion time and off-target contacts to test their learning of psychomotor skills in blood management.
Extracted statement — Topic: Surgery
Research field: Science
Title: Improving Prediction of Surgical Site Infection Risk with Multilevel Modeling
Abstract: Background Surgical site infection (SSI) surveillance is a key factor in the elaboration of strategies to reduce SSI occurrence and in providing surgeons with appropriate data feedback (risk indicators, clinical prediction rule). Aim To improve the predictive performance of an individual-based SSI risk model by considering a multilevel hierarchical structure. Patients and Methods Data were collected anonymously by the French SSI active surveillance system in 2011. An SSI diagnosis was made by the surgical teams and infection control practitioners following standardized criteria. A random 20% sample comprising 151 hospitals, 502 wards and 62280 patients was used. Three-level (patient, ward, hospital) hierarchical logistic regression models were initially performed. Parameters were estimated using the simulation-based Markov Chain Monte Carlo procedure. Results A total of 623 SSI were diagnosed (1%). The hospital level was discarded from the analysis as it did not contribute to variability of SSI occurrence (p = 0.32). Established individual risk factors (patient history, surgical procedure and hospitalization characteristics) were identified. A significant heterogeneity in SSI occurrence between wards was found (median odds ratio [MOR] 3.59, 95% credibility interval [CI] 3.03 to 4.33) after adjusting for patient-level variables. The effects of the follow-up duration varied between wards (p<10−9), with an increased heterogeneity when follow-up was <15 days (MOR 6.92, 95% CI 5.31 to 9.07]). The final two-level model significantly improved the discriminative accuracy compared to the single level reference model (p<10−9), with an area under the ROC curve of 0.84. Conclusion This study sheds new light on the respective contribution of patient-, ward- and hospital-levels to SSI occurrence and demonstrates the significant impact of the ward level over and above risk factors present at patient level (i.e., independently from patient case-mix).
Extracted statement — Objective: Surveillance
Research field: Science
Title: Using the GPU for fast symmetry-based dense stereo matching in high resolution images
Abstract: SymStereo is a new algorithm used for stereo estimation. Instead of measuring photo-similarity, it proposes novel cost functions that measure symmetry for evaluating the likelihood of two pixels being a match. In this work we propose a parallel approach of the LogN matching cost variant of SymStereo capable of processing pairs of images in real-time for depth estimation. The power of the graphics processing units utilized allows exploring more efficiently the bank of log-Gabor wavelets developed to analyze symmetry, in the spectral domain. We analyze tradeoffs and propose different parameter-izations of the signal processing algorithm to accommodate image size, dimension of the filter bank, number of wavelets and also the number of disparities that controls the space density of the estimation, and still process up to 53 frames per second (fps) for images with size 288 × 384 and up to 3 fps for 768 × 1024 images.
Extracted statement — Taxonomy stage: Step: Symmetry
Research field: Science
Title: Using the GPU for fast symmetry-based dense stereo matching in high resolution images
Abstract: SymStereo is a new algorithm used for stereo estimation. Instead of measuring photo-similarity, it proposes novel cost functions that measure symmetry for evaluating the likelihood of two pixels being a match. In this work we propose a parallel approach of the LogN matching cost variant of SymStereo capable of processing pairs of images in real-time for depth estimation. The power of the graphics processing units utilized allows exploring more efficiently the bank of log-Gabor wavelets developed to analyze symmetry, in the spectral domain. We analyze tradeoffs and propose different parameter-izations of the signal processing algorithm to accommodate image size, dimension of the filter bank, number of wavelets and also the number of disparities that controls the space density of the estimation, and still process up to 53 frames per second (fps) for images with size 288 × 384 and up to 3 fps for 768 × 1024 images.
Extracted statement — Algorithm: SymStereo
Research field: Science
Title: Logical structure analysis of book document images using contents information
Abstract: Numerous studies have so far been carried out extensively for the analysis of document image structure, with particular emphasis placed on media conversion and layout analysis. For the conversion of a collection of books in a library into the form of hypertext documents, a logical structure extraction technology is indispensable, in addition to document layout analysis. The table of contents of a book generally involves very concise and faithful information to represent the logical structure of the entire book. That is to say, we can efficiently analyze the logical structure of a book by making full use of its contents pages. This paper proposes a new approach for document logical structure analysis to convert document images and contents information into an electronic document. First, the contents pages of a book are analyzed to acquire the overall document logical structure. Thereafter, we are able to use this information to acquire the logical structure of all the pages of the book by analyzing consecutive pages of a portion of the book. Test results demonstrate very high discrimination rates: up to 97.6% for the headline structure, 99.4% for the text structure, 97.8% for the page-number structure and almost 100% for the head-foot structure.
Extracted statement — Logical Labels: table
Research field: Science
Title: Temperature control of a pilot plant reactor system using a genetic algorithm model-based control approach
Abstract: The work described in this paper aims at exploring the use of an artificial intelligence technique, i.e. genetic algorithm (GA), for designing an optimal model-based controller to regulate the temperature of a reactor. GA is utilized to identify the best control action for the system by creating possible solutions and thereby to propose the correct control action to the reactor system. This value is then used as the set point for the closed loop control system of the heat exchanger. A continuous stirred tank reactor is chosen as a case study, where the controller is then tested with multiple set-point tracking and changes in its parameters. The GA model-based control (GAMBC) is then implemented experimentally to control the reactor temperature of a pilot plant, where an irreversible exothermic chemical reaction is simulated by using the calculated steam flow rate. The dynamic behavior of the pilot plant reactor during the online control studies is highlighted, and comparison with the conventional tuned proportional integral derivative (PID) is presented. It is found that both controllers are able to control the process with comparable performance. Copyright © 2007 Curtin University of Technology and John Wiley & Sons, Ltd.
Extracted statement — Objective/estimate(s) process systems: Temperature
Research field: Science
Title: Defense against Sybil attack in vehicular ad hoc network based on roadside unit support
Abstract: In this paper, we propose a timestamp series approach to defend against Sybil attack in a vehicular ad hoc network (VANET) based on roadside unit support. The proposed approach targets the initial deployment stage of VANET when basic roadside unit (RSU) support infrastructure is available and a small fraction of vehicles have network communication capability. Unlike previously proposed schemes that require a dedicated vehicular public key infrastructure to certify individual vehicles, in our approach RSUs are the only components issuing the certificates. Due to the differences of moving dynamics among vehicles, it is rare to have two vehicles passing by multiple RSUs at exactly the same time. By exploiting this spatial and temporal correlation between vehicles and RSUs, two messages will be treated as Sybil attack issued by one vehicle if they have the similar timestamp series issued by RSUs. The timestamp series approach needs neither vehicular-based public-key infrastructure nor Internet accessible RSUs, which makes it an economical solution suitable for the initial stage of VANET.
Extracted statement — Confidentiality (Privacy) Technique: Timestamp
Research field: Science
Title: Automated labeling in document images
Abstract: The National Library of Medicine (NLM) is developing an automated system to produce bibliographic records for its MEDLINER database. This system, named Medical Article Record System (MARS), employs document image analysis and understanding techniques and optical character recognition (OCR). This paper describes a key module in MARS called the Automated Labeling (AL) module, which labels all zones of interest (title, author, affiliation, and abstract) automatically. The AL algorithm is based on 120 rules that are derived from an analysis of journal page layouts and features extracted from OCR output. Experiments carried out on more than 11,000 articles in over 1,000 biomedical journals show the accuracy of this rule-based algorithm to exceed 96%.
Extracted statement — Logical Labels: title
Research field: Science
Title: Effect of shot peening on residual stress and fatigue life of a spring steel
Abstract: This study describes shot peening effects such as shot hardness, shot size and shot projection pressure, on the residual stress distribution and fatigue life in reversed torsion of a 60SC7 spring steel. There appears to be a correlation between the fatigue strength and the area under the residual stress distribution curve. The biggest shot shows the best fatigue life improvement. However, for a shorter time of shot peening, small hard shot showed the best performance. Moreover, the superficial residual stresses and the amount of work hardening (characterised by the width of the X-ray diffraction line) do not remain stable during fatigue cycling. Indeed they decrease and their reduction rate is a function of the cyclic stress level and an inverse function of the depth of the plastically deformed surface layer.
Extracted statement — Special Notes: Torsion
Research field: Science
Title: Residual Stress Relaxation and Fatigue Strength of AISI 4140 under Torsional Loading after Conventional Shot Peening, Stress Peening and Warm Peening
Abstract: Cylindrical rods of 450°C quenched and tempered AISI 41 40 were conventionally shot peened, stress peened and warm peened while rotating in the peening device. Warm peening at Tpeen = 310°C was conducted using a modified air blast shot peening machine with an electric air flow heater system. To perform stress peening using a torsional pre-stress, a device was conceived which allowed rotating pre-stressed samples without having material of the pre-loading gadget between the shot and the samples. Thus, same peening conditions for all peening procedures were ensured. The residual stress distributions present after the different peening procedures were evaluated and compared with results obtained after peening of flat material of the same steel. The differently peened samples were subjected to torsional pulsating stresses (R = 0) at different loadings to investigate their residual stress relaxation behavior. Additionally, the pulsating torsional strengths for the differently peened samples were determined.
Extracted statement — Special Notes: Torsion
Research field: Science
Title: A transaction mapping algorithm for frequent itemsets mining
Abstract: In this paper, we present a novel algorithm for mining complete frequent itemsets. This algorithm is referred to as the TM (transaction mapping) algorithm from hereon. In this algorithm, transaction ids of each itemset are mapped and compressed to continuous transaction intervals in a different space and the counting of itemsets is performed by intersecting these interval lists in a depth-first order along the lexicographic tree. When the compression coefficient becomes smaller than the average number of comparisons for intervals intersection at a certain level, the algorithm switches to transaction id intersection. We have evaluated the algorithm against two popular frequent itemset mining algorithms, FP-growth and dEclat, using a variety of data sets with short and long frequent patterns. Experimental data show that the TM algorithm outperforms these two algorithms.
Extracted statement — Algorithm name: Transaction