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Found 6423 publications

Construction site layout and building material distribution planning using hybrid algorithms

Krisztián Balázs Bence Kalmár András Kalmár Laszlo T. Koczy

Publication Name: Studies in Computational Intelligence

Publication Date: 2014-02-03

Volume: 530

Issue: Unknown

Page Range: 75-88

Description:

Chapters have been written previously about how genetic algorithms and other evolution-based algorithms could aid construction site layout planning. These articles presented approaches that solved of the layout problem by applying costs on the moving of construction materials across the site. Our goal was to build an algorithm which is specialized in solving problems of distributing building materials- brick for example-on a site by placing their pallets at the optimal spots, for every unit built from a given material to be within optimal reach. This article describes a solution of this problem for the engineering practice and interprets the slow but accurate method of the Hungarian Algorithm, further it proposes a Memetic Algorithm as a faster but almost as accurate solution. Conclusions are drawn about the usability of this method. © Springer International Publishing Switzerland 2014.

Open Access: Yes

DOI: 10.1007/978-3-319-03206-1_6

Human-Like Behaviour for Automated Vehicles (HLB4AV) Naturalistic Driving Dataset

Erno Horváth Gergo Igneczi

Publication Name: Sisy 2024 IEEE 22nd International Symposium on Intelligent Systems and Informatics Proceedings

Publication Date: 2024-01-01

Volume: Unknown

Issue: Unknown

Page Range: 491-496

Description:

Human-Like Behaviour for Automated Vehicles (HLB4AV) dataset is a collection of data of drivers, driving naturally in a rural road segment. The instructions were always to drive with their own, instinctive style, without knowing the goal of the measurement. The measurements took place always during the day, on weekdays, with no or low traffic, good sight visibilities and dry weather conditions. There are always reference measurements of the given road sections, where professional drivers were asked to drive a well-sensored test vehicle. Dataset contains information of accurate vehicle kinematics, lane edge geometry, test vehicle localization and surrounding traffic. The dataset is unique as besides physical vehicle data metadata of the drivers in terms of driving frequency, experience and age is also added. The data can be used to analize the basic path and speed selection of drivers on rural roads, their reaction on other traffic participants or lane offset selection. The data continuously grows, new measurement platforms as well as new drivers and road sections are planned to be added.

Open Access: Yes

DOI: 10.1109/SISY62279.2024.10737549

Firm performance implications of supply chain integration, agility and innovation in agri-businesses: evidence from an emergent economy

Lawrence Yaw Kusi Ebenezer Afum Joseph Amponsah Owusu Victoria Yaa Osei-Ahenkan Kenneth Boateng Boateng Christine Norman George Augustus Benjamin Aggrey

Publication Name: Journal of Agribusiness in Developing and Emerging Economies

Publication Date: 2022-03-22

Volume: 12

Issue: 2

Page Range: 320-341

Description:

Purpose: This study empirically examines the effect of supply chain integration (SCI) on financial performance (FP) and controls for the mediating effects of supply chain agility (SCA), supply chain (SC) innovation and operational performance (OP). Design/methodology/approach: Through a causal research design, structured questionnaires were used for primary data collection from 217 commercial poultry farms (CPFs) operating in the Bono Region of Ghana. Structural equation modeling was reflectively configured to test the formulated hypotheses. Findings: SCI causes a statistically significant moderate positive variance in OP in terms of cost-effectiveness, order fulfillment rate, operating cycle, inventory turns, business process innovation. SCI is an insignificant weak positive predictor of FP (growth in revenue, profit, return on investment, sales growth) of CPFs operating in Ghana. Furthermore, OP significantly and positively mediates the predictive relationship between SCI and FP. Again, SC innovation significantly mediates the predictive relationship between SCI and OP. However, SCA fails to significantly mediate the predictive relationship between SCI and OP. Research limitations/implications: Focal firms' characteristics were ignored, although they may determine how SCI affects OP and FP in the presence of SCA and SC innovation. Originality/value: Empirically, SCI has no direct impact on FP of CPFs but does so indirectly through the mediating role of OP.

Open Access: Yes

DOI: 10.1108/JADEE-03-2021-0078

Method for determining direction, velocity and position of a flying ball

A. Nagy

Publication Name: Mechatronics 2013 Recent Technological and Scientific Advances

Publication Date: 2014-01-01

Volume: Unknown

Issue: Unknown

Page Range: 401-408

Description:

This paper proposes an algorithm for an optical measuring system, which is capable of calculating the velocity and position components, the radius and the trajectory of a flying sphere-shape ball. The infrared light-emitting diodes and the IR sensors of the system are arranged in a single plane and create a lattice of infrared light beams. The FPGA based hardware of the system measures the points in time when the light beams are interrupted by the ball. The proposed algorithm uses the measured time-data with the associated positions of the interrupted light beams as input. The practical application such a systems can be measuring ball's velocity in several sports and games. © Springer International Publishing Switzerland 2014.

Open Access: Yes

DOI: 10.1007/978-3-319-02294-9_51

Conventional RVS Methods for Seismic Risk Assessment for Estimating the Current Situation of Existing Buildings: A State-of-the-Art Review

Orsolya Kegyes-Brassai Nurullah Bektaş

Publication Name: Sustainability Switzerland

Publication Date: 2022-03-01

Volume: 14

Issue: 5

Page Range: Unknown

Description:

Developments in the field of earthquake engineering over the past few decades have contributed to the development of new methods for evaluating the risk levels in buildings. These research methods are rapid visual screening (RVS), seismic risk indexes, and vulnerability assessments, which have been developed to assess the levels of damage in a building or its structural components. RVS methods have been proposed for the rapid pre-and/or post-earthquake screening of existing large building stock in earthquake-prone areas on the basis of sidewalk surveys. The site seismicity, the soil type, the building type, and the corresponding building characteristic features are to be separately examined, and the vulnerability level of each building can be identified by employing the RVS methods. This study describes, evaluates, and compares the findings of previous investigations that utilized conventional RVS methods within a framework. It also suggests the methods to be used for specific goals and proposes prospective enhancement strategies. Furthermore, the article discusses the time-consuming RVS methods (such as FEMA 154, which requires from 15 to 30 min, while NRCC requires one hour), and provides an overview of the application areas of the methods (pre-earthquake: FEMA 154, NRCC, NZEE, etc.; postearthquake: GNDT, EMS, etc.). This review of the traditional RVS methods offers a comprehensive guide and reference for field practitioners (e.g., engineers, architects), and recommends enhancement techniques (e.g., machine learning, fuzzy logic) for researchers to be used in future improvements.

Open Access: Yes

DOI: 10.3390/su14052583

A dynamic programming approach for 4D flight route optimization

Gabor Takacs Christian Kiss-Toth

Publication Name: Proceedings 2014 IEEE International Conference on Big Data IEEE Big Data 2014

Publication Date: 2014-01-01

Volume: Unknown

Issue: Unknown

Page Range: 24-28

Description:

This paper describes our solution for the GE Flight Quest 2 (FQ2) challenge, organized by Kaggle. FQ2 aimed at optimizing flight routes so that the overall cost depending on fuel consumption and delay is as low as possible. The contestants could use several data tables as inputs, including aircraft positions and destinations, weather information and other aviation related data. Their task was to produce a flight plan for each flight, given as a list of (latitude, longitude, altitude, airspeed) quadruplets. The cost of the flight plans was evaluated with an open source simulator. Our proposed method produces an initial solution with the Dijkstra's algorithm to avoid restricted zones, and then refines it using dynamic programming and local search techniques. We can extensively utilize wind forecasts and significantly divert the planes from the the great circle route if necessary. Moreover, our method tries to set the ascending and descending profiles of the flights to further decrease the cost. Our algorithm achieved second place on the public, and fifth place on the private leaderboard of the contest.

Open Access: Yes

DOI: 10.1109/BigData.2014.7004427

Tensor Product Transformation Based Robust Control of Induction Machine

Miklós Kuczmann Zoltan Nemeth

Publication Name: Gpmc 2020 2nd IEEE International Conference on Gridding and Polytope Based Modeling and Control Proceedings

Publication Date: 2020-11-19

Volume: Unknown

Issue: Unknown

Page Range: 39-44

Description:

The paper presents the tensor product based model of the highly nonlinear induction machine model. The independence of flux and speed state feedback control has been examined with integral action. Robustness of the designed controller has been investigated with applied load torque, additional measurement noise and parameter uncertainties.

Open Access: Yes

DOI: 10.1109/GPMC50267.2020.9333812

Coping strategies for financial problems: Based on Hungarian data from the OECD 2022 annual report

Németh Erzsébet Botond Géza Kálmán Szonja Jenei Szilárd Malatyinszki

Publication Name: International Journal of Innovative Research and Scientific Studies

Publication Date: 2025-01-01

Volume: 8

Issue: 4

Page Range: 407-418

Description:

The aim of this study is to explore the role of demographic factors in strategies to address financial problems, based on data from the OECD Financial Literacy Survey 2022 in Hungary. The analysis focused on differences in age, gender, type of residence, income, and region. The research used multivariate statistical methods, such as canonical correlation analysis and Ridge regression, to identify associations between demographic factors and financial behavior. The results showed that region and age are the most significant determinants of financial strategy choice, while education and income have a smaller impact. Residents in Budapest showed higher financial awareness and more diversified strategies compared to a more traditional approach for rural residents. The results suggest the development of targeted financial education programs that take demographic and regional differences into account, thus supporting the enhancement of financial stability.

Open Access: Yes

DOI: 10.53894/ijirss.v8i4.7861

Characteristics of Lead Users in Different Stages of the New Product Development Process: A Systematic Review in the Context of Open Innovation

Agota Giedrė Raišienė Tibor Dőry Béla Venesz

Publication Name: Journal of Open Innovation Technology Market and Complexity

Publication Date: 2022-03-01

Volume: 8

Issue: 1

Page Range: Unknown

Description:

Despite the promising ideas of lead users, the success rate of the open innovation process remains low if no proper personal characteristics are attached to the external contributor. The knowledge about the essential characteristic elements of lead users is crucial to select the right lead users in the early stage of the NPD. By filling the research gap, we performed a systematic literature review about the required personal characteristics of lead users. The resulting 45 studies demonstrated that diverse characteristics are required in different stages of an NDP which vary in the consumer and industrial context. According to our research results, we made a contribution to the theory by extending the lead user method in the form of a partial theory. We also found that in the case of incremental innovations, companies apply their technical knowledge and do not require additional expertise from users, while in the case of radical innovations, firms only involve external users with high technological competencies in the development stage of the NDP. We identified similarities and differences of the required lead users’ personal characteristics in the consumer and industrial contexts. Thus, our study provides a better awareness for business leaders on the selection of lead users for their NPD process, reducing the time-to-market ratio of the product and increasing profit.

Open Access: Yes

DOI: 10.3390/joitmc8010024