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arXiv 2017年

作者： Chen, Xiaojun Li, Xing Xu, Lu Sun, Yi Politis, Constantinus Egger, Jan Institute of Biomedical Manufacturing and Life Quality Engineering State Key Laboratory of Mechanical System and Vibration School of Mechanical Engineering Shanghai Jiao Tong University Shanghai China OMFS IMPATH Research Group Department of Imaging and Pathology Faculty of Medicine KU Leuven Leuven Belgium Department of Oral and Maxillofacial Surgery University Hospitals Leuven Leuven Belgium Faculty of Computer Science and Biomedical Engineering Institute for Computer Graphics and Vision Graz University of Technology Graz Austria BioTechMed-Graz Graz Austria

In the orthognathic surgery, dental splints are important and necessary to help the surgeon reposition the maxilla or mandible. However, the traditional methods of manual design of dental splints are difficult and time-consuming. The research on computer-aided design software for dental splints is rarely reported. Our purpose is to develop a novel special software named EasySplint to design the dental splints conveniently and efficiently. The design can be divided into two steps, which are the generation of initial splint base and the Boolean operation between it and the maxilla-mandibular model. The initial splint base is formed by ruled surfaces reconstructed using the manually picked points. Then, a method to accomplish Boolean operation based on the distance filed of two meshes is proposed. The interference elimination can be conducted on the basis of marching cubes algorithm and Boolean operation. The accuracy of the dental splint can be guaranteed since the original mesh is utilized to form the result surface. Using EasySplint, the dental splints can be designed in about 10 minutes and saved as a stereo lithography (STL) file for 3D printing in clinical applications. Three phantom experiments were conducted and the efficiency of our method was demonstrated. Copyright © 2017, The Authors. All rights reserved.

关键词： computer software

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Expression of Concern: Assessing the suitability of hybridizing the Cuckoo optimization algorithm with ANN and ANFIS techniques to predict daily evaporation

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Environmental Earth Sciences 2018年第1期78卷 1-1页

作者： Jamshid Piri Kasra Mohammadi Shahaboddin Shamshirband Shatirah Akib Department of Water Engineering Soil and Water College University of Zabol Zabol Islamic Republic of Iran Department of Mechanical and Industrial Engineering University of Massachusetts Amherst USA Department of Computer System and Technology Faculty of Computer Science and Information Technology University of Malaya Kuala Lumpur Malaysia School of Energy Geoscience Infrastructure and Society (EGIS) Heriot-Watt University Malaysia Putrajaya Malaysia

The Editors-in-Chief of Environmental Earth Sciences are issuing an editorial expression of concern.

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The Development of Bank Application for Debtors Selection by Using Naïve Bayes Classifier Technique

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IOP Conference Series: Materials Science and engineering 2018年第1期407卷

作者： S L B Ginting J Adler Y R Ginting A H Kurniadi Computer System Study Program Universitas Komputer Indonesia Jl. Dipati Ukur 112-116 Bandung 40132 Indonesia Department of Mechanical Engineering Universitas Riau Kampus Bina Widya KM 125 Simpang Baru Pekanbaru 28293 Indonesia

The purpose of this study is to create an application that functions automatically with high accuracy when analyzing bank customer data. This needed due to non-performing loans occurring frequently caused by the inaccuracy of credit analysts in the assessment of creditworthiness. This can be seen in the incident occurred in a public bank located in Bandung. This bank does not have the database that serves to accommodate data history and the method used in assessing creditworthiness is merely based on the simple statistical analysis. This leads to reduced accuracy and speed in the decision-making process. This research applies Naïve Bayes Classifier (NBC) method, a Data Mining technique. This helps credit analysts to select customers who are truly eligible to be given credit so that non-performing loan can be avoided. NBC calculates the probability of one class from each group of attributes and determines which class is most optimal. The accuracy of the NBC sampling test from 500 data is 95% compared to the decision made by a credit analyst. It can be concluded that this application is very helpful for credit analysts in recommending customers who are eligible for a loan to the bank's decision maker.

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The development of bank applications for debtors' selection by using Naïve Bayes classifier technique

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IOP Conference Series: Materials Science and engineering 2018年第1期407卷

作者： S L B Ginting J Adler Y R Ginting A H Kurniadi Study Program of Computer System Universitas Komputer Indonesia Jl. Dipati Ukur 112-116 Bandung 40132 Indonesia. Department of Mechanical Engineering Universitas Riau Kampus Bina Widya KM 125 Simpang Baru Pekanbaru 28293 Indonesia.

The purpose of this study is to create an application which functions automatically with high accuracy when analyzing bank customer data. This needed due to non-performing loans occurring frequently caused by the inaccuracy of credit analysts in the assessment of creditworthiness. This can be seen in the incident occurred in a public bank located in Bandung. This bank does not have the database that serves to accommodate data history and the method used in assessing creditworthiness is merely based on the simple statistical analysis. This leads to reduced accuracy and speed in the decision-making process. This research applies Naïve Bayes Classifier (NBC) method, a Data Mining technique. This helps credit analysts to select customers who are truly eligible to be given credit so that non-performing loan can be avoided. NBC calculates the probability of one class from each group of attributes and determines which class is most optimal. The accuracy of the NBC sampling test from 501 data is 94% compared to the decision made by a credit analyst. It can be concluded that this application is very helpful for credit analysts in recommending customers who are eligible for a loan to the bank's decision maker.

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Correction to: Expression of Concern to: Comparative Study of Soft Computing Methodologies for Energy Input–Output Analysis to Predict Potato Production

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American Journal of Potato Research 2018年第1期96卷 94-94页

作者： Hamedani, Sara Rajabi Liaqat, Misbah Shamshirband, Shahaboddin Al-Razgan, Othman Saleh Al-Shammari, Eiman Tamah Petković, Dalibor Department of Agricultural Science Payame Noor University Tehran Iran Department of Computer System and Information Technology Faculty of Computer Science and Information Technology University of Malaya Kuala Lumpur Malaysia Kuwait Institute for Scientific Research (KISR) Kuwait City Kuwait Department of Information Science College of Computing Sciences and Engineering Kuwait University Kuwait City Kuwait Faculty of Mechanical Engineering Department for Mechatronics University of Niš Niš Serbia

The Editor-in-Chief of American Journal of Potato Research is issuing an editorial expression of concern to alert readers that this article shows substantial indication of irregularities in authorship during the submi...

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Suppression of electrical tree initiation by antioxidant and ultraviolet absorber, using a density-functional study

Suppression of electrical tree initiation by antioxidant and...

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Conference on Electrical Insulation and Dielectric Phenomena, (CEIDP)

作者： H. Uehara S. Iwata Y. Sekii T. Takada Y. Cao Dept. of Electrical and Electronic Engineering Kanto Gakuin University Yokohama Kanagawa Japan Sekii PE Laboratory Chiba Chiba Japan Research Division of Product Reliability Osaka Research Institute of Industrial Science and Technology Izumi Osaka Japan Dept. of Mechanical System Engineering Tokyo City University Setagaya Tokyo Japan Dept. of Electrical and Computer Engineering University of Connecticut Storrs CT USA

ISBN: (纸本)9781538611951

Antioxidants, ultraviolet (UV) absorbers, and light stabilizers play important role of suppressing the chain reaction of radical production in cross-linked polyethylene (XLPE). In this paper, we studied such suppression of electrical tree initiation by additives added in XLPE by using density-functional approach. The result shows that large electric dipole moments of additives facilitate charge trapping and lead to suppression of electrical tree initiation. The result also shows that molecular orbitals of additives are distributed in the vicinity of the conjugated π bonds of benzene rings, hydroxyl groups, and carbonyl groups which can form chemical defects.

关键词： Additives Orbits Two dimensional displays Chemicals Degradation Polymers Electric potential

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Low-power DC energy conversion system based on a novel single-switch current-fed series-parallel resonant converter

Low-power DC energy conversion system based on a novel singl...

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2017 IEEE International Conference on Industrial Technology, ICIT 2017

作者： Chuang, Ying-Chun Chuang, Hung-Shiang Yang, Chun-Hsiang Chen, Tien-Chi Department of Electrical Engineering Kun Shan University No. 195 Kun-Da Road Yong-Kang District Tainan City71003 Taiwan Guangdong-Taiwan College of Industrial Science and Technology Dongguan University of Technology No. 251 Xueyuan Road Guancheng District Dongguan Guangdong Province China Mechanical and System Research Laboratories Industrial Technology Research Institute No. 195 Sec. 4 Chung Hsing Road Chutung Hsinchu31040 Taiwan Department of Computer and Communication Kun Shan University No. 195 Kun-Da Road Yong-Kang District Tainan City71003 Taiwan

ISBN: (纸本)9781509053209

This work develops a novel single-switch current-fed series-parallel resonant converter for use in direct current (DC) energy conversion systems. The converter comprises a class-E inverter and a series-parallel resonant tank with a bridge rectifier. It uses a single active power switch to reduce the cost of the energy conversion system and control circuits. With a simple circuit configuration and few components, a highly efficient circuit is realized. Experimental data were obtained using a laboratory prototype with an input voltage of 30 V, an output voltage of 16.5 V, an output power of 15.13 W, and a switching frequency of 60 kHz. The measured prototype efficiency was 93.3 % under a full load. Accordingly, the novel converter has great potential for use in low-power DC energy conversion systems. © 2017 IEEE.

关键词： Energy conversion

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Optimizing seaglider performance utilizing a variable incidence wing

Optimizing seaglider performance utilizing a variable incide...

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XPONENTIAL 2016 - An AUVSI Experience

作者： Hockley, Christopher J. Cronin, Stephen P. Butka, Brian K. Mechanical Engineering ERAU 600 S. Clyde Morris Blvd. Daytona BeachFL32114 United States Electrical Computer Software and System Engineering ERAU 600 S. Clyde Morris Blvd. Daytona BeachFL32114 United States

Underwater gliders are a family of Autonomous Underwater Vehicles (AUV) that utilize the modulation of buoyancy and center of gravity in order to manipulate their pitch and depth. During these vertical excursions wings are used for propul-sion and directional control. This low impact, low energy propulsion system makes seagliders well suited for oceanography, and extended environmental re-search. Optimizing the glide angle and the angle of the platform during transit will improve the usefulness of this type of AUV as a sensing platform. This research proposes addressing this problem by using a variable incidence wing that can vary its angle relative to the AUV's body. Varying the angle of incidence will enable the seaglider to optimize its glide slope while maintaining an attitude necessary to meet mission requirements. This paper discusses the impact of a variable inci-dence wing on an autonomous seaglider as well as its effect on the glide slope characteristics. A series of experiments were undertaken to measure the impact of a change in the wing angle of incidence versus the glideslope. The data from these experiments was used to inform the design of a new vehicle planform, in which the impact of variable wing incidence was again investigated.

关键词： Autonomous underwater vehicles

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A design to improve Selective Catalytic Reduction for diesel engines

A design to improve Selective Catalytic Reduction for diesel...

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SoutheastCon 2016

作者： Demirkiran, Ilteris Compere, Marc Ye, Sun Sharma, Anuj Desai, Amay Pedrosa, Kurt Electrical Computer Software and System Engineering Embry-Riddle Aeronautical University 600 South Clyde Morris Blvd Daytona BeachFL32114 United States Mechanical Engineering Embry-Riddle Aeronautical University 600 South Clyde Morris Blvd Daytona BeachFL32114 United States

ISBN: (纸本)9781509022465

An approach to reduce harmful emissions in diesel engines is presented. This approach makes use of an improved Selective Catalytic Reduction (SCR) system which employs a Diesel Oxidation Catalyst (DOC). In addition, a communication link between the engine and a data collection system is established using User Datagram Protocol (UDP). We observed that the enhanced emissions control system presented demonstrates significant reduction in emission. © 2016 IEEE.

关键词： Diesel engines

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Comparisons of Different Kernels in Kriging-Assisted Evolutionary Expensive Optimization

Comparisons of Different Kernels in Kriging-Assisted Evoluti...

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IEEE Symposium Series on Computational Intelligence

作者： Jie Tian Ying Tan Chaoli Sun Jianchao Zeng Haibo Yu Yaochu Jin College of Mechanical Engineering Shandong Womens University Jinan China Department of Computer Science and Technology Northeastern University Shenyang China College of Mechanical Engineering Taiyuan University of Science and Technology Taiyuan China Division of Industrial and System Engineering Taiyuan University of Science and Technology Taiyuan China School of Computer Science and Control Engineering North University of China Taiyuan China Department of Computer Science Taiyuan University of Science and Technology Taiyuan China

Surrogate-assisted evolutionary algorithms (SAEAs) have received increasing attention in recent years. Kriging is one of the most popular surrogate models due to its ability to provide approximation uncertainty as well as the approximation value without additional computational cost. The kernel function used in the Kriging model plays a very important role in Kriging, as it has considerable influence on the approximation performance of Kriging models. However, little work has been dedicated to the efficiency of training the Kriging model and the influence of the kernel function on the performance of SAEAs. In this paper, we conduct extensive empirical experiments to examine the performance of Kriging-assisted SAEAs on a widely used test suite of benchmark problems of a dimension of 20 or 30 using different kernel functions. Detailed analyses of the training efficiency and the performance of Kriging-assisted SAEAs with different kernel functions are given.

关键词： Expensive optimization Kriging Kernel function Fitness approximation

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