XJTLU Research Repository

1.Brain Storm Optimization Algorithm for Multi-objective Optimization Problems

Author：Xue, JQ;Wu, YL;Shi, YH;Cheng, S

Source：ADVANCES IN SWARM INTELLIGENCE, ICSI 2012, PT I,2012,Vol.7331

Abstract:In this paper, a novel multi-objective optimization algorithm based on the brainstorming process is proposed(MOBSO). In addition to the operations used in the traditional multi-objective optimization algorithm, a clustering strategy is adopted in the objective space. Two typical mutation operators, Gaussian mutation and Cauchy mutation, are utilized in the generation process independently and their performances are compared. A group of multi-objective problems with different characteristics were tested to validate the effectiveness of the proposed algorithm. Experimental results show that MOBSO is a very promising algorithm for solving multi-objective optimization problems.

2.Infrared motion detection and electromyographic gesture recognition for navigating 3D environments

Author：Chen, KY;Liang, HN;Yue, Y;Craig, P

Source：COMPUTER ANIMATION AND VIRTUAL WORLDS,2018,Vol.29

Abstract:This research explores the suitability and effectiveness of two relatively new types of input device for navigating 3D virtual environments. These are infrared motion detection, like the Leap Motion tracker, and electromyographic gesture recognition, like the Myo Armband. Despite the introduction of a variety of new input devices intended to provide a more natural interaction experience, navigation within 3D virtual environments is still normally done on more traditional control devices such as game controllers or the keyboard-mouse combination. This study investigates the potential of new devices to support navigation in 3D environments through an experiment conducted with 27 participants using three different types of input devices to play a ball-balancing maze-like game. The input devices tested are a standard game controller, a Leap Motion tracker for infrared motion detection, and the Myo Armband for electromyographic gesture recognition. Results demonstrated the real potential of both types of device to support navigation interaction within 3D environments.

3.Forecasting Based Power Ramp-Rate Control For PV Systems Without Energy Storage

Author：Chen, XY;Du, Y;Wen, HQ

Source：2017 IEEE 3RD INTERNATIONAL FUTURE ENERGY ELECTRONICS CONFERENCE AND ECCE ASIA (IFEEC 2017-ECCE ASIA),2017,Vol.

Abstract:The intermittency of solar photovoltaic (PV) power generation causes problems to the grid, especially for the islands or weak grids. The utilities have imposed ramp limitations in some countries or regions, such as Germany, Puerto Rico, Ireland, Hawaii, etc. There are three ways to achieve power ramp-rate control (PRRC), one is by using energy storage system (ESS), the second is active power curtailment, and the third is by using ESS-MPPT hybrid system. The use of ESS is still too expensive for utilities-level real power compensation. It requires maintenance and has limited lifetime. The conventional active power curtailment cannot deal with power drops. In this project, we proposed a PRRC method which does not require any ESS. The PV generation is curtailed before the actual shading occurs by using a forecasting system. The curtailed PV generation has been evaluated by using a case study. The proposed PRRC can limit the ramp-rate effectively. The curtailed generation can be very small in certain cases which could make it has the advantage over ESS.

4.Braided fermions from Hurwitz algebras

Author：Gresnigt, NG

Source：32ND INTERNATIONAL COLLOQUIUM ON GROUP THEORETICAL METHODS IN PHYSICS (GROUP32),2019,Vol.1194

Abstract:Some curious structural similarities between a recent braid- and Hurwitz algebraic description of the unbroken internal symmetries for a single generations of Standard Model fermions were recently identified. The non-trivial braid groups that can be represented using the four normed division algebras are B-2 and B-3(C) exactly those required to represent a single generation of fermions in terms of simple three strand ribbon braids. These braided fermion states can be identified with the basis states of the minimal left ideals of the Clifford algebra Cl(6), generated from the nested left actions of the complex octonions C circle times O on itself. That is, the ribbon spectrum can be related to octonion algebras. Some speculative ideas relating to ongoing research that attempts to construct a unified theory based on braid groups and Hurwitz algebras are discussed.

5.Reducing Wi-Fi Fingerprint Collection Based on Affinity Propagation Clustering and WKNN Interpolation Algorithm

Author：Hu,Jiusong;Liu,Hongli;Liu,Dawei;Yan,Zhi;Xu,Kun

Source：Proceedings of 2018 2nd IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2018,2018,Vol.

Abstract:The Wi-Fi-based indoor positioning system compares the online signal strength indicator (RSSI) and offline stored fingerprints to find the closest match to estimate the target location of the device. However, the problem is that the process of collecting fingerprints is very laborious, time-consuming and expensive. It is challenging to solve this problem. We proposed a method to reduce fingerprint collection based on APC (affinity propagation clustering) and WKNN (Weighted K-Nearest Neighbor) interpolation algorithm to solve the problem in this paper. We use the APC algorithm to break the known RPs (Reference points) into several clusters. The cluster representative is recorded. Then, we classify the unknown RPs as in the cluster which is physically nearest to cluster representative. Finally, in each cluster, we use fingerprints of known RPs with the WKNN interpolation algorithm to calculate fingerprints of the unknown RPs. We do experiments in a real environment. The results of real environmental experiments show that our method only needs 40%% of the fingerprint to restore all the fingerprints in our environment, while the average localization accuracy only lost 8%%. It only needs 70%% of the fingerprints to restore all the fingerprints almost without any loss of average localization accuracy in our environment.

6.Reliable Classification of Vehicle Logos by an Improved Local-mean based Classifier

Author：Zhang, BL;Pan, H

Source：2013 6TH INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING (CISP), VOLS 1-3,2013,Vol.1

Abstract:Classification of vehicle logo is an important step towards the vehicle recognition that is required in many applications in intelligent transportation systems and automatic surveillance. A fast and reliable vehicle logo classification approach is proposed by first accurate logo detection, followed by an improved local-mean based classification algorithm. The recently published integrative logo detection method features of two pre-logo detection steps, i.e., vehicle region detection and a small Rot segmentation, which could rapidly focalize a small logo target. A two-stage cascade classifier proceeds with the segmented Rot, using a hybrid of Gentle Adaboost and Support Vector Machine (SVM), to generate precise logo positions. To address the issue of classification confidence which also facilitates a rejection option, we proposed an improvement on the local-mean-based non parametric classifier and With a simple class posterior estimation, a rejection strategy becomes straigh forward. A database of 15 different types of vehicle logos was created from images captured by surveillance cameras. The proposed scheme offers a performance accuracy of over 95%% with a rejection rate of 8%%, thus exhibits promising potentials for implementations into real-world applications.

7.Anomaly detection of rolling elements using fuzzy entropy and similarity measures

Author：Wong, M.L.D. ; Lee, S.H. ; Nandi, A.K.

Source：Institution of Mechanical Engineers - 10th International Conference on Vibrations in Rotating Machinery,2012,Vol.

Abstract:The ability of detecting faults in rotating elements is highly desired in machine condition monitoring application (MCM). On many MCM platforms, discriminating attributes based on time and/or frequency domain of the acquired vibration data are used to classify the element under monitoring into normal and abnormal conditions. However, having such diagnostic ability is still insufficient in our global goal towards predictive maintenance. To achieve true predictive maintenance, the development tool must be able to provide a certain level of real time computation capability. In this paper, the authors propose a novel method based on fuzzy entropy and similarity measure for monitoring the health conditions of ball bearings on-line. The practicalities of the effectiveness and speed of the method are verified empirically, and results are presented towards the end of this paper. © The author(s) and/or their employer(s), 2012.

8.A brief on cost controls of highway construction projects

Author：Liu, Y;Gong, G;Zhan, X

Source：SUSTAINABLE BUILDINGS AND STRUCTURES: BUILDING A SUSTAINABLE TOMORROW,2020,Vol.

Abstract:Cost control of construction projects is to minimize all kinds of consumptions and achieve the predetermined cost target using necessary technology and management measures without affecting the predetermined construction pe-riod and quality. The control measures include organizational measures, tech-nical measures and economic measures. The control process includes construc-tion project cost estimation, cost planning and implementation, cost accounting, cost analysis etc. The control methods include target control, dynamic control, comprehensive control and key control. This talk discusses the cost control of highway construction projects.

9.Device-to-Device Communications in LTE-Unlicensed Heterogeneous Network

Author：Yuan, H;Guo, WS;Wang, SY

Source：2016 IEEE 17TH INTERNATIONAL WORKSHOP ON SIGNAL PROCESSING ADVANCES IN WIRELESS COMMUNICATIONS (SPAWC),2016,Vol.2016-August

Abstract:In this paper, the authors examine how the envisaged Device-to-Device (D2D) networks can efficiently scale its capacity by utilizing the unlicensed spectrum with appropriately designed LTE-Unlicensed (LTE-U) protocols. The LTE-U Listen Before Talk (LBT) algorithm is adapted for collision avoidance between traditional unlicensed user equipment (UEs), e.g. Wi-Fi UEs, and the LTE-U enabled D2D UEs. By considering different traffic loads, the analysis found that whilst the D2D UEs reduce the unlicensed network capacity, it increases the combined licensed and unlicensed network capacity by 63%%.

10.Ubiquitous Digital Repositories In the Design Studio

Author：Dounas, T;Spaeth, B

Source：ECAADE 2016: COMPLEXITY & SIMPLICITY, VOL 1,2016,Vol.

Abstract:The paper investigates the usability and effect of a ubiquitous digital repository in the architectural design process. Acknowledging the post-digital era where students work with diverse media either digital or analogue, the project explores the suitability of a digital log in augmenting conceptual thinking, feedback provision and intellectual exchange by means of a studio in an architectural undergraduate course. Students integrate a digital log into their workflow resolving a design task of an architectural studio. A server-based repository serves as students 'individual archive as well as a share-point for peer-students' informal exchange and tutors' feedback. The conclusion of the study is that sketching and organization habits from the analog media the students have learned persist even with a more digitally inclined generation. The use of digital tools that obliterate the analog-digital division, holding the best of both worlds are still subject to the constraints of timely introduction in the curriculum, cultural resistance in terms of organization of a project and more so void of experimentation in their use by students.

11.D2D Multi-Hop Routing: Collision Probability and Routing Strategy with Limited Location Information

Author：Yuan, H;Guo, WS;Wang, SY

Source：2015 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATION WORKSHOP (ICCW),2015,Vol.

Abstract:In this paper, we define a collision area in a heterogeneous cellular network for the purpose of interference management between Device-to-Device (D2D) and conventional cellular (CC) communications. Currently, most D2D routing algorithms assume synchronized accurate location knowledge among users and the base stations. In reality, this level of location accuracy is difficult and power consuming in Universal Mobile Telecommunications System (UMTS). In current Long-Term Evolution (LTE), there is no location information from the cell besides range information from time measurements. In the absence of accurate location information, we analyze the collision probability of the D2D multi-hop path hitting the defined collision area. Specifically, we consider the problem for three different routing scenarios: intra-cell, intra-cell to cell boundary, and cell boundary to boundary routing. As a result, we propose a dynamic switching strategy between D2D and CC communications in order to minimize mutual interference. The gradient-based switching strategy can avoid collision with the collision area and only requires knowledge of the current user and the final destination user's distances to the serving base station.

12.Effect of basalt fibre addition to cementitious mortar at ambient and elevated temperatures

Author：Revanna, N;Moy, CKS;Krevaikas, TD;Chin, CS;Jones, S

Source：SUSTAINABLE BUILDINGS AND STRUCTURES: BUILDING A SUSTAINABLE TOMORROW,2020,Vol.

Abstract:A study on the mechanical characteristics of cementitious mortar reinforced with basalt fibres at ambient and elevated temperatures is carried out. Chopped basalt fibres with varying percentages, 0.15%%, 0.2%%, 0.5%%, 1.0%% are added to the cement mortar. All the specimens are heated to 200 degrees C, 500 degrees C, 900 degrees C using a muffle furnace. Flexural strength, compressive strength and moisture loss are measured to evaluate the performance of cementitious mortars at elevated temperatures. From the study, it is clear that basalt fibres can be used to reinforce mortar as the fibres remain unaffected up to 500 degrees C, however, the contribution of basalt fibres to the flexural strength, compressive strength development is minimal at both ambient and elevated temperatures.

13.Segregated Lightweight Dynamic Rate (SLDR) control scheme for efficient internet communications

Author：Ting,T. O.;Ting,H. C.;Lee,Sanghyuk

Source：Lecture Notes in Electrical Engineering,2013,Vol.235 LNEE

Abstract:This paper proposes an effective Segregated Lightweight Dynamic Rate Control Scheme (SLDRCS) over the internet. Based on the feedback analysis of the current approaches, we found that the indicator of the congestion is only the queue length. It only captures a partial indicator of delay and loss in feedback mechanism. This may result in an ineffective way in controlling the network when congestion control occurs. Therefore, we suggest multiple congestion indicators to adapt inside this scheme to fully control the average delay and loss from bidirectional of sender to receiver. The behavior of next event packet being control using discrete event simulation tool with First Come First Serve (FCFS) scheduling policy and we code this algorithm into C programming language. Through the simulation results, our Segregated Lightweight Dynamic Rate Control Scheme (SLDRCS) guaranteed high improvement in packet drop and average delay under various congestion level and traffic load conditions compare with the current approach. © 2013 Springer Science+Business Media Dordrecht.

14.Attributes and Action Recognition Based on Convolutional Neural Networks and Spatial Pyramid VLAD Encoding

Author：Yan, SY;Smith, JS;Zhang, BL

Source：COMPUTER VISION - ACCV 2016 WORKSHOPS, PT III,2017,Vol.10118

Abstract:Determination of human attributes and recognition of actions in still images are two related and challenging tasks in computer vision, which often appear in fine-grained domains where the distinctions between the different categories are very small. Deep Convolutional Neural Network (CNN) models have demonstrated their remarkable representational learning capability through various examples. However, the successes are very limited for attributes and action recognition as the potential of CNNs to acquire both of the global and local information of an image remains largely unexplored. This paper proposes to tackle the problem with an encoding of a spatial pyramid Vector of Locally Aggregated Descriptors (VLAD) on top of CNN features. With region proposals generated by Edgeboxes, a compact and efficient representation of an image is thus produced for subsequent prediction of attributes and classification of actions. The proposed scheme is validated with competitive results on two benchmark datasets: 90.4%% mean Average Precision (mAP) on the Berkeley Attributes of People dataset and 88.5%% mAP on the Stanford 40 action dataset.

15.How international experience influence FDI mode choice: A framework and critical questions

Author：廖颖;徐立国;席酉民

Source：管理学在中国2015年会论文集,2015,Vol.

Abstract:　　Although international entry mode choice has been extensively studied,the empirical results regarding one key antecedents—international experience—have been equivocal.The authors reviews the extensive research on this relationship and integrates them into a framework to demonstrate how international experience influences the FDI mode choice.Furthermore,the authors demonstrate that the conceptualization of international experience、the fine-grained analysis about what organization gets in foreign activities、identifying theoretical perspective,qualifying research context will be helpful to advance the understanding of this phenomenon.

16.Analysis of liquid feedstock behavior in high velocity suspension flame spraying for the development of nanostructured coatings

Author：Gozali, Ebrahim ; Kamnis, Spyros ; Gu, Sai

Source：Proceedings of the International Thermal Spray Conference,2013,Vol.

Abstract:Over the last decade the interest in thick nano-structured layers has been increasingly growing. Several new applications, including nanostructured thermoelectric coatings, thermally sprayed photovoltaic systems and solid oxide fuel cells, require reduction of micro-cracking, resistance to thermal shock and/or controlled porosity. The high velocity suspension flame spray (HVSFS) is a promising method to prepare advanced materials from nano-sized particles with unique properties. However, compared to the conventional thermal spray, HVSFS is by far more complex and difficult to control because the liquid feedstock phase undergoes aerodynamic break up and vaporization. The effects of suspension droplet size, injection velocity and mass flow rate were parametrically studied and the results were compared for axial, transverse and external injection. The numerical simulation consists of modeling aerodynamic droplet break-up and evaporation, heat and mass transfer between liquid droplets and gas phase.

17.Two-stage Hybrid Classifier Ensembles for Subcellular Phenotype Images Classification

Author：Zhang, BL

Source：2011 INTERNATIONAL CONFERENCE ON ENVIRONMENT SCIENCE AND BIOTECHNOLOGY (ICESB 2011),2011,Vol.8

Abstract:An automatic, reliable and efficient prediction system for protein subcellular localization can be used for establishing knowledge of the spatial distribution of proteins within living cells and permits to screen systems for drug discovery or for early diagnosis of a disease. In this paper, we propose a two-stage multiple classifier system to improve classification reliability by introducing rejection option. The system is built as a cascade of two classifier ensembles. The first ensemble consists of set of binary SVMs which generalizes to learn a general classification rule and the second ensemble focus on the exceptions rejected by the rule. To enhance diversity for the classifier ensembles, multiple features are introduced, including the local binary patterns (LBP), Gabor filtering and Gray Level Coocurrence Matrix (GLCM). Using the public benchmark 2D HeLa cell images, a high classification accuracy 96%% is obtained with rejection rate 21%%. (C) 2011 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of the Asia-Pacific Chemical, Biological & Environmental Engineering Society (APCBEES)

18.Resistive Switching Behavior of Solution-Processed AlOx based RRAM with Ni and TiN Top Electrode at Low Annealing Temperatures

Author：Shen,Zongjie;Zhao,Cezhou;Yang,Li;Zhao,Chun

Source：Proceedings - 2019 International SoC Design Conference, ISOCC 2019,2019,Vol.

Abstract:Solution-processed AlO thin film deposited under different annealing temperatures are used to develop metal/AlOx/Pt RRAM devices, with Ni and TiN as the top electrode (TE) to investigate the influence of metal electrode on device performances. In this work, RRAM devices with various performances exhibit typical bipolar resistive switching (RS) characteristics. The difference of work function between the TE and bottom electrode (BE) metals is considered to play a primary role in operation process. With smaller difference of work function, the devices indicate less power consumption and more stable on/off ratio for SET and RESET operations. The Ni/AlOx/Pt devices demonstrate more stable performance with lower SET and RESET operation voltages (10 ), longer retention time ( 10 s) and better endurance( 100 cycle). x 3 4

19.Semantic Enhanced As-Built BIM Updating Based on vSLAM and Image Processing

Author：Huang,Hong;Lo,Ying;Zhu,Jingling;Ge,Shucheng;Zhang,Cheng

Source：Construction Research Congress 2020: Computer Applications - Selected Papers from the Construction Research Congress 2020,2020,Vol.

Abstract:© 2020 American Society of Civil Engineers. Building information model (BIM) needs to be updated based on the real situation on the construction site to reflect the dynamic aspects of construction progress. However, without realizing real-time tracking technology and semantic enhancement for the 3D reconstructed model, it is difficult to achieve an updating based on the comparison of the as-designed BIM with the as-built BIM for any discrepancy in terms of quality and quantity. Moreover, semantic information is usually missing in the re-constructed models; therefore, it is difficult to automate the process of identifying target building components in a complicated construction site. The present paper proposes an image-based 3D reconstruction while integrating infrared thermography to extract the semantic information from the images as the different emissivity of the construction materials is a piece of crucial evidence for the identification of the material. Case studies are conducted in an under passage in a university campus to investigate the feasibility of the proposed methods. An efficient and cost-benefit approach of as-built BIM updating is attainable considering the future possibility of high-level semantic information reasoning from different data sources. The results of the proposed methodology show that the thermal images perform better in capturing the MEP data comparing to the 3D reconstruction using images where MEP data are missing and incomplete in the point cloud. However, the limitations of the methodology, such as the inconsistent thermal conditions and the unpredictable thermal radiation source will influence the accuracy of segmentation results.

20.Modeling and Verification of NCL Circuits Using PAT

Author：Ma, JM;Man, KL;Lim, EG;Zhang, N;Lei, CU;Guan, SU;Jeong, TT;Seon, JK

Source：CEIS 2011,2011,Vol.15

Abstract:NULL Conventional Logic (NCL) is a Delay-Insensitive (DI) clockless paradigm and is suitable for implementing asynchronous circuits. Efficient methods of analysis are required to specify and verify such DI systems. Based on Delay Insensitive sequential Process (DISP) specification, this paper demonstrates the application of formal methods by applying Process Analysis Toolkit (PAT) to model and verify the behavior of NCL circuits. A few useful constructs are successfully modeled and verified by using PAT. The flexibility and simplicity of the coding, simulation and verification shows that PAT is effective and applicable for NCL circuit design and verification. (C) 2011 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of [CEIS 2011]