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Household Garbage Classification: A Transfer Learning Based Method and a Benchmark 1

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11th international Symposium on Parallel Architectures, Algorithms and programming, PAAP 2020

作者： Cheng, Qian Wu, Zhi-Ze Wu, Zi-Jun Zou, Le Li, Huan-Yi Wang, Xiao-Feng Department of Environmental Engineering Hefei University Hefei Anhui230601 China Anhui Provincial Engineering Laboratory of Big Data Technology Application for Urban Infrastructure Department of Computer Science and Technology Hefei University Hefei230601 China Institute of Applied Optimization School of Artificial Intelligence and Big Data Hefei University Hefei Anhui23060 China

ISBN: (数字)9789811600104

ISBN: (纸本)9789811600098

Household garbage images are highly diverse in color, texture and geometry, which poses significant challenges to garbage classification. Deep convolutional neural network (DCNN) have recently achieved remarkable progress due to their ability to learn high-level feature representations. It usually requires a large number of labelled image data for training a DCNN model. However, there are few public and mature data sets concerned on household garbage images. this severely limits the progress of research and the state of the art is not entirely clear. To address this problem, we introduce a new benchmark data set for household garbage image classification. this data set is called 30 Types of Household Garbage Images (HGI-30), which contains 6′000 images of 30 household garbage types, with complex backgrounds, different resolutions, and complicated variations in sample, pose, illumination and background. the publicly available HGI-30 data set allows researchers to develop more accurate and robust methods for both household garbage image processing and interpretation analysis of household garbage object. We further study the classification problem on this data set and propose a transfer learning based method, also provide a performance analysis, which serves as baseline result on this benchmark. © 2021, Springer Nature Singapore Pte Ltd.

关键词： Classification (of information)

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Joint Optimization for the Spare Part Support System Location-Inventory-Allocation Problem under (T, S) Policy

Joint Optimization for the Spare Part Support System Locatio...

引用

System Reliability and Safety engineering (SRSE), international conference on

作者： Wenshu Xie Li Jia Peixuan Li Meilin Wen China Academy of Launch Vehicle Technology China Academy of Launch Vehicle Technology Beijing China School of Reliability and System Engineering Beihang University Beijing China

Inventory management and material distribution are two important events that need to be properly determined in the spare part support system. therefore, it is of great importance for decision-makers to provide a feasible scheme for programming the depot locations, inventory parameters, and distribution patterns for the spare part supply chain. To this end, a location-inventory-allocation model is devised with the objective to minimize the total cost including construction expense, transporting expenditure, order outlay, inventory and shortage payment under supply availability, fill rate, and the expected delay time indicators as constraints. Considering the periodical character of spare parts maintenance, the periodic review order-up-to-S $(\mathbf{T},\ \mathbf{S})$ policy is encoded in the model. To further facilitate model optimization, a revised model based on the Economic Order Quantity (EOQ) function is devised with $(\mathbf{T}, \mathbf{R},\ \mathbf{S})$ policy as the inventory strategy. the demands of the operation sites are supposed as random variables with lead time set as a constant. Finally, a numerical example is provided to verify the feasibility and effectiveness of the model, and the genetic algorithm is encoded into the problem for model solving.

关键词： Analytical models Costs Supply chains Transportation Maintenance engineering Numerical models Delays

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Lemmatization Algorithm Development for Bangla Natural Language Processing

Lemmatization Algorithm Development for Bangla Natural Langu...

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international conference on Informatics, Electronics & Vision (ICIEV)

作者： Md. Kowsher Anik Tahabilder Md Murad Hossain Sarker Md. Zahidul Islam Sanjid Nusrat Jahan Prottasha Noakhali Science and Technology University Noakhali Bangladesh School of Engineering + Technology Western Carolina University Cullowhee NC USA Comilla University Comilla Bangladesh BRAC University Dhaka Bangladesh Daffodil International University Dhaka Bangladesh

ISBN: (数字)9781728193311

ISBN: (纸本)9781728193328

Natural language processing (NLP) finds enormous applications in autonomous communication, while lemmatization is an essential preprocessing technique for simplification of a word to its origin-word in NLP. However, there is scarcity of effective algorithms in Bangla NLP. this leads us to develop a useful Bangla language lemmatization tool. Usually, some rule base stemming processes play the vital role of lemmatization in Bangla language processing as there is lack of Bangla lemmatization tool. In this paper, we propose a Bangla lemmatization framework using three effective lemmatization techniques based on data structures and dynamic programming. We have used Trie algorithm and developed a mapping algorithm named “Dictionary Based Search by Removing Affix (DBSRA)” based on data structure. We have applied both Trie and DBSRA lemmatization and selected the better one by considering the Levenshtein distance between the lemma and the original word. Eventually, we have experimented with Bangla language lemmatization among all three techniques and the framework. Among the three proposed techniques, the DBSRA performed better compared to others with an accuracy of 93.1 percent. the framework, developed by fusing three algorithms, came out with the highest efficiency of 95.89 percent. Contribution-this paper presents the development of three lemmatization algorithms and their fusion to develop a framework for Bangla Natural Language Processing.

关键词： Heuristic algorithms Natural language processing Data structures Hidden Markov models Dynamic programming Dictionaries Tokenization

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Need for Fraction module in Python: An Approach with Benefits

Need for Fraction module in Python: An Approach with Benefit...

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Advances in Computing, Communication and Networking (ICAC2N), international conference on

作者： Hare Ram Singh Satya Pal Singh Saikat Gochhait Pardeep Singh Suraj Malik Department of Information Technology IIMT College of Engineering Greater Noida Uttar Pradesh India Symbiosis Institute of Digital and Telecom Management Constituent of Symbiosis International Deemed University Pune India Department of Computer Science and Engineering Guru Tegh Bahadur 4th Centenary Engineering College New Delhi India Department of Computer Science and Engineering IIMT University Meerut Uttar Pradesh India

ISBN: (数字)9798350356816

ISBN: (纸本)9798350356823

Fractions are always better calculated for judgment of precise and accurate value. Sometimes division may yield particulars in decimal form, there the importance of the fraction comes with its own value. the current market works or moves primarily on absolute or estimated prices in most cases or calculations. To complete calculations, the required fractions must produce accurate predicted values every time, so technology for better measurement will have importance of fractions in every calculation. In most technology, fraction is still in use such as where Decimal Portal does not work. So, the programming language also needs to be modified with this function to mold all the libraries useful for the upcoming developers who are working on the programming languages for more development in technology. the main purpose of this paper is to spread knowledge about the importance of fractions, and to explain why everyone needs to introduce it into the defined library of running software.

关键词： Productivity Computers Accuracy Current measurement Documentation Libraries Time measurement Software Portals Python

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Backstepping control of pure-feedback multi-input extremum seeking system

Backstepping control of pure-feedback multi-input extremum s...

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Electrical engineering and Control science (IC2ECS), international conference on

作者： Lei Zhang Yalei Liu China Coast Guard Academy Ningbo China

ISBN: (数字)9798331510107

ISBN: (纸本)9798331510114

To solve control problems of pure-feedback multi-input extremum seeking systems based on state feasible domain constraint, extremum seeking method, backstepping control and adaptive control were combined. Firstly, system states’ extremum reference trajectory was designed by extremum seeking method. Secondly, the controller was designed by appropriate Lyapunov function selected by backstepping control method. At last, unknown parameters estimation law was designed by adaptive control method. Objective function extremum was searched under the condition of feasible region constraint was satisfied. Simulation result shows that the proposed design method is effective.

关键词： Electrical engineering Backstepping Parameter estimation Simulation Design methodology Search problems Linear programming Trajectory Adaptive control Lyapunov methods

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Evolution and digital game studies

Evolution and digital game studies

引用

4th Digital Games Research Association international conference: Breaking New Ground: Innovation in Games, Play, Practice and theory, DiGRA 2009

作者： Easterly, Douglas Carnegie, Dale Harper, David Victoria University of Wellington School of Design New Zealand Victoria University of Wellington School of Engineering and Computer Science New Zealand Victoria University of Wellington School of Psychology New Zealand

While a great variety of fields are addressed in the discussions concerning digital game studies, the natural sciences are rarely among them. We do see references to evolution and biology when we look at new directions in the technical structuring of games, as genetic programming bestows artificial characters with a greater impression of intelligence [1, 2, 3];but this domain is not discussed in the critical dissemination of player behaviour. If evolution and biology are valuable references for generating artificial intelligences within a digital game, perhaps it is time we consider the significance of such forces for the players engaging the game. As sociobiology pioneer Robert Trivers reminds us: "Natural selection has built us, and it is natural selection we must understand if we are to comprehend our own identities. [4]" Why are the cognitive tools we have inherited for thriving in the Pleistocene era so good at engaging, and being drawn to achieving goals in the fictional pixilated world of digital games? this paper will argue that evolution can play an important role in digital game studies by offering a functionalist explanation to topics such as behaviour, gender, learning, development, and prediction under uncertainty. In building this case, we will examine the history of play research and discuss its dual-lineage: one largely informed by evolutionary biology, and another that is more concerned with play as a cultural artifact. From there, we will consider the potential for Evolutionary Psychology (EP) as a valuable interlocutor for digital game studies. In particular, this field's approach to addressing judgement under uncertainty lends astonishing insight into how core features of digital gameplay may indeed be triggering innate behaviour. In conclusion, we will present our own experiments being conducted at Victoria University of Wellington, which will provide an example of how Evolutionary Psychology may inform research conducted in digital game studies

关键词： Biology

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A Model Driven method to represent Free Choice Petri Nets as Sequence Diagram

A Model Driven method to represent Free Choice Petri Nets as...

引用

international conference on Software engineering and Computer Systems (ICSECS)

作者： thong Weng Jie Mohamed Ariff Ameedeen Faculty of Computer Science & Software Engineering Universiti Malaysia Pahang Kuantan Pahang IBM Centre of Excellence Universiti Malaysia Pahang Kuantan Pahang

the role of modelling is important in software or system development. Modelling provides a way for developers to perform model design, model analysis and model synthesis. However, each phase have different requirements which leads to the use of different modelling language for each phase. For example, in model design, usually UML is used due to its semi-formal notational nature, making it easier for developers and other stakeholders without prior knowledge on modelling or programming language to understand. In model analysis, due to its mathematical needs in carrying out mathematical analysis, a modelling language with formal semantics like Petri Net is needed. this results in a condition called heterogeneity, where two modelling language could not communicate with each other. this paper aims to bridge the gap by introducing transformation rules between two type of modelling language which is Petri Net (from model analysis) and UML Sequence Diagram (from model design). this paper also aims to introduce a method of applying Model Driven Development (MDD) model transformation from Petri Nets to UML Sequence Diagram.

关键词： Unified modeling language Petri nets Analytical models Mathematical model Computational modeling Software Software engineering

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Recognition of Fusion Processing Based on Infrared and Visible Images under the Framework of Semi-supervised Learning 4

Recognition of Fusion Processing Based on Infrared and Visib...

引用

2020 4th international Workshop on Advanced Algorithms and Control engineering, IWAACE 2020

作者： Cao, Zhuohang Bian, Shuhao Chen, Zhe Ma, Peili Zhai, Shuaishuai Xu, Lijun School of Mechanical Engineering Nanjing Institute of Technology Nanjing Jiangsu210000 China School of Automation Nanjing Institute of Technology Nanjing Jiangsu210000 China Institute of Art and Design Nanjing Institute of Technology Nanjing Jiangsu210000 China

In traditional convolutional networks, due to the lack of adequate information protection of traditional image fusion technology and the incomplete removal of redundant noise, the useful information of the fusion image is missing and the recognition success rate is low. In this paper, through the research of deep learning-based image fusion methods and traditional target recognition and SVM neural network, an image fusion processing recognition method based on infrared and visible light is designed. the coding network of this image fusion method consists of convolutional layers, fusion layers and dense blocks. the output of each layer needs to be connected to the next few layers by using a densely connected neural network, so as to obtain more useful features from the source image and fuse the data of the two images better. It is verified by simulation that the fused image has sound visual effects, and its edges and details have been completely preserved. thus, the target object has strong recognizability compared with the surrounding environment. Research shows that this method will help to more accurately interpret target information in complex environments and achieve more effective results in target recognition. © Published under licence by IOP Publishing Ltd.

关键词： Convolution

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the Solution for Creating a 2D Top-View Map of the Pedestrian Positions Around the Vehicle 30

The Solution for Creating a 2D Top-View Map of the Pedestria...

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30th international conference on Software, Telecommunications and Computer Networks, SoftCOM 2022

作者： Avramovic, Nemanja Vranjes, Mario Lukac, Zeljko Kovacevic, Jelena TTTech Auto Cee Osijek Croatia University of Osijek Faculty of Electrical Engineering Computer Science and Information Technology Osijek Croatia University of Novi Sad Faculty of Technical Sciences Novi Sad Serbia Research and Development Institute RT-RK Novi Sad Serbia

ISBN: (数字)9789532901177

ISBN: (纸本)9789532901177

Currently, one of the fastest-growing industries in the world is the automotive industry. More and more vehicles are encountered on the road that have Advanced Driver-Assistance Systems (ADAS) installed to perform complex operations while driving. they constantly monitor the environment around the vehicle and reduce the risk of traffic accidents. In this paper, the ADAS solution for estimating the distance of detected pedestrians and drawing a 2D top-view map of their positions in the vicinity of the vehicle is proposed. the solution processes frames simultaneously captured by four cameras located on different sides of the vehicle. It is developed using the C programming language and finally implemented on a real ADAS embedded platform. the proposed solution achieved high performance when tested on video sequences captured by real automotive cameras. Furthermore, it is capable of processing 15 frames per second when operating with state-of-the-art automotive camera resolutions. © 2022 University of Split, FESB.

关键词： Automobile drivers

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the time-impact optimal trajectory planning for multi-joint robot based on GA-PSO

The time-impact optimal trajectory planning for multi-joint ...

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Computer, Control and Robotics (ICCCR), international conference on

作者： Rao Yao Jiaran Wang Yahui Lv Dazhong Wang Shanghai University of Engineering Science School of Mechanical and Automotive Engineering Shanghai China Aviation Industry Corporation of China ShangHai Aero Measurement-Controlling Research Institute Shanghai China

ISBN: (数字)9798350373141

ISBN: (纸本)9798350373158

In order to simplify robot control and reduce the programming difficulty of impact-optimized trajectories, this paper studies the application of gesture recognition in industrial robot trajectory planning. Meanwhile for reducing the vibration and mechanical wear caused by excessive robot impact, it is proposed to use an improved GA-PSO algorithm for time-impact optimal trajectory planning, that is, to use adaptive inertia weight and crossover mutation probability. the improved algorithm has the characteristics of fast convergence in the early stage of iteration and not easy to fall into local optimal solution in the later stage of iteration. In the trajectory planning, a 5-5-5 interpolation polynomial is used to ensure the continuity of the trajectory planning speed, acceleration, and impact. Under the control of the set fitness function, the search of the improved GA-PSO algorithm is used to simulate the results. the experimental results show that the optimized trajectory significantly reduces the impact simultaneously.

关键词： Vibrations Trajectory planning Service robots Robot kinematics Robot control Gesture recognition programming

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