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Abdisa Alemu Tolosa, Diriba Korecha Dadi, Lemma Wogi Mirkena, Zelalem Bekeko Erena and Feyera Merga Liban
The impacts of various climatic conditions, such as temperature and rainfall variabilities, are very critical and sensitive to rain-fed crop production, particularly over the water stress arid and semi-arid regions of Ethiopia. This study was designed to...
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Mirza Sikalo, Almira Arnaut-Berilo and Azra Zaimovic
In this paper, we compared the models for selecting the optimal portfolio based on different risk measures to identify the periods in which some of the risk measures dominated over others. For decades, the best known return-risk model has been Markowitz?...
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Yingying Ye, Weizheng Ren, Shixiang Zhang, Lufeng Zhao, Jianjun Tang, Liangliang Hu and Xin Chen
The genetic diversity of cultured species (e.g., plants and fish) has decreased as intensive agriculture and aquaculture have increased in recent decades. Maintaining genetic diversity in agriculture is a significant concern. To test whether aquaculture ...
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Bram Hadianto,(Maranatha Christian UniversityIndonesia)Sabrina Wissen,(Maranatha Christian UniversityIndonesia)Renate Severita Hapsariny,(Maranatha Christian UniversityIndonesia)Shafira Putri Kurniawan,(Maranatha Christian UniversityIndonesia)Yosephine Carolina,(Maranatha Christian UniversityIndonesia)
Pág. 243 - 257
This study aims to examine and analyze the effect of employee engagement and motivation on working performance. This population is 618 employees working at one of the textile companies in Bandung, distributed into seven divisions. The number of samples o...
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Youri Geurkink, Jan Boone, Steven Verstockt and Jan G. Bourgois
This study aimed to identify the strongest predictive variables of winning and losing in the highest Belgian soccer division. A predictive machine learning model based on a broad range of variables (n = 100) was constructed, using a dataset consisting of...
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Yung-Chih Lin, Kung-Da Wu, Wei-Cheng Shih, Pao-Kai Hsu and Jui-Pin Hung
This study presents surface roughness modeling for machined parts based on cutting parameters (spindle speed, cutting depth, and feed rate) and machining vibration in the end milling process. Prediction models were developed using multiple regression ana...
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Jing Chen, Chang Liu, Ronghua Chang, Pengfei Gui and Sanggyun Na
VR technology can help create optimal virtual learning spaces. Such spaces offer new visual experiences that break through the limitations of time and space and greatly stimulate people?s imagination and creativity in learning. Currently, the bandwidth r...
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Harry A. G. Pointon, Benjamin J. McLoughlin, Christian Matthews and Frederic A. Bezombes
In this paper, we present an alternate method for the generation and implementation of the sensor measurement variance used in an Extended Kalman Filter (EKF). Furthermore, it demonstrates the limitations of a conventional EKF implementation and postulat...
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Weijia Wang, Peng Bai, Hao Li and Xiaolong Liang
In localization estimation systems, it is well known that the sensor-emitter geometry can seriously impact the accuracy of the location estimate. In this paper, time-difference-of-arrival (TDOA) localization is applied to locate the emitter using unmanne...
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Endre H. Hansen, Liviu T. Ene, Ernest W. Mauya, Zdenek Patocka, Tomá? Mikita, Terje Gobakken and Erik Næsset
Airborne laser scanner (ALS) data are used operationally to support field inventories and enhance the accuracy of forest biomass estimates. Modelling the relationship between ALS and field data is a fundamental step of such applications and the quality o...
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