Yu Wang, M. Boulic, R. Phipps, Chris Chitty, Alfred Moses, R. Weyers, Julian Jang-Jaccard, G. Olivares, Agate M. Ponder-Sutton, Chris Cunningham
{"title":"Integrating Open-Source Technologies to Build a School Indoor Air Quality Monitoring Box (SKOMOBO)","authors":"Yu Wang, M. Boulic, R. Phipps, Chris Chitty, Alfred Moses, R. Weyers, Julian Jang-Jaccard, G. Olivares, Agate M. Ponder-Sutton, Chris Cunningham","doi":"10.1109/APWCONCSE.2017.00046","DOIUrl":"https://doi.org/10.1109/APWCONCSE.2017.00046","url":null,"abstract":"A low-cost, low power consumption indoor environment monitoring instrument, called SKOMOBO (school monitoring box), was developed and tested. SKOMOBO includes sensors to monitor temperature/relative humidity, carbon dioxide (CO2), particulate matter and motions. SKOMOBO was developed using the open source hardware Arduino Pro Mini. This paper describes the process of building SKOMOBO, including sensor selection, printed circuit board design, sensor programming and performance evaluation. Two co-located tests have been undertaken; one in the controlled environment and one in the uncontrolled environment. Results show SKOMOBO measurements have high correlations with their commercial equivalents. In the two different testing environments, the R2 of temperature measurements for all six SKOMOBOs were 1. The R2 for relative humidity and CO2 measurements were above 0.9. The result of this work shows the reliability of SKOMOBO on monitoring indoor air quality.","PeriodicalId":215519,"journal":{"name":"2017 4th Asia-Pacific World Congress on Computer Science and Engineering (APWC on CSE)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115137230","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Analytical and Experimental Investigation into the Vibration Response of a Beam Excited by a Magnetostrictive Actuator","authors":"T.Y. Zhang, X. Jiang, Y.X. Wang, H. Zhang, J. Pan","doi":"10.1109/APWCONCSE.2017.00055","DOIUrl":"https://doi.org/10.1109/APWCONCSE.2017.00055","url":null,"abstract":"Magnetostrictive actuators have great potential for the active control of structural vibration, as they can deliver a large control force to excite heavy structures. However, their nonlinear properties have always been an obstacle to their application in control system design. Identification of the nonlinear model of the actuator is necessary for compensation of the control path. This paper reports an analytical and experimental study of the vibration of a beam structure excited by a magnetostrictive actuator. The analytical results explain the harmonic components in the current and vibration when the actuator is excited by a single-frequency voltage. The experimental results support this explanation and reveal the nonlinear characteristics of the system in the frequency domain.","PeriodicalId":215519,"journal":{"name":"2017 4th Asia-Pacific World Congress on Computer Science and Engineering (APWC on CSE)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123636285","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Effect of Crowding on Visit Ratio at an Product Area: Based on RFID Data in a Japanese Supermarket","authors":"Boyuan Wu, K. Yada","doi":"10.1109/APWCONCSE.2017.00014","DOIUrl":"https://doi.org/10.1109/APWCONCSE.2017.00014","url":null,"abstract":"Crowding is often described as an important environmental factor in consumers' evaluations of service experiences. Prior research identifies that crowding is significantly influence with customers’ in-store purchases such as the customer satisfaction, purchase intention, and purchase number. However, the retailing literature are still lacks directly empirical studies about how the crowding influence customer in-store behaviors which effect these in-store purchases, such as the customer crowding adaptation strategies. In this study, we focus on a shop area’s visit ratio to describe the customers’ crowding adaptation strategies, and try to investigate how crowding effect on the customers’ adaptation strategies in an area level by analyzing the RFID-based Path data and matched POS data which collected from a Japanese supermarket. According to the regress analysis, the result shown the linear correlativity between these variables is prominent, which means increasing a shop area’s crowding situation can actually help retailers to attract more customers to visit that area. The finding can further provide guidelines for retailers’ crowd management or design of public spaces in store.","PeriodicalId":215519,"journal":{"name":"2017 4th Asia-Pacific World Congress on Computer Science and Engineering (APWC on CSE)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114108866","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Development of Quality Management Strategies for 3D Printing Testing Methods – a Review","authors":"Tanisha Pereira, Johan Potgieter, John V. Kennedy","doi":"10.1109/APWCONCSE.2017.00047","DOIUrl":"https://doi.org/10.1109/APWCONCSE.2017.00047","url":null,"abstract":"Industrial progression of Additive Manufacturing awaits novel quality management strategies to verify 3D printed parts are fit for purpose. This paper presents a review of testing technologies: tensile testing and Scanning Electron Microscopy (SEM). The experiment performed aimed to provide a comparative study, of the testing technologies, to better understand current quality management processes in the 3D printing space. Additionally, this study was performed to establish a good fundamental groundwork on which future Non-Destructive Testing research can be conducted. The study revealed the advantages of tensile and SEM testing methods, whilst highlighting a need for better technologies to cover the disadvantages.","PeriodicalId":215519,"journal":{"name":"2017 4th Asia-Pacific World Congress on Computer Science and Engineering (APWC on CSE)","volume":"113 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124317416","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
J. Nahar, Neeraj Anand Sharma, Kunal Kumar, A. Prasad, Anal Kumar
{"title":"Fishermen’S Expert Views on the Causes of Fish Poisoning in Fiji: An Investigation through Data Mining Technique","authors":"J. Nahar, Neeraj Anand Sharma, Kunal Kumar, A. Prasad, Anal Kumar","doi":"10.1109/APWCONCSE.2017.00026","DOIUrl":"https://doi.org/10.1109/APWCONCSE.2017.00026","url":null,"abstract":"Fish poisoning is a common cause of human illness in Fiji. Poisonous substances can be initially ingested by fish that typically feast upon marine green growth, spilt oil, dirty water and silted rubbish. Humans can fall ill when eating these infected fish. This is of particular concern given that fish is the staple diet of most Fijians. This research presents fishermen’s views on the significant causes and risk factors of fish poisoning in different regions of Fiji: Rakiraki, Tavua, Sonaisaili Island, Gua Island, Nandi, Lautoka, Suva. The study used a computational intelligence-based (CI), data mining approach to elucidate the fishermen’s views. Association rule mining (ARM) was then utilised to find correlations and associations between these views and to determine the perceived main causes of fish poisoning. The aim of this research was to explore the efficacy of an ARM approach (and the development of an appropriate database) in determining the common views of expert fishermen on the causes and risk factors that contribute to fish poisoning. The results indicated that the fishermen held common beliefs of causal relationships between various environmental factors and fish poisoning. These included contaminated passageways of fish, velella areas, water vehicle pollution, water temperatures, dirty and polluted water, heavy rains and flooded waters, the summer season, algal blooms, deep-sea environments and irresponsible human activities. Conceivably, the outcomes of this study may aid designing fish poisoning diagnostic systems (including early diagnosis of poisoning in fish) and through reducing or preventing predicating factors in the first instance.","PeriodicalId":215519,"journal":{"name":"2017 4th Asia-Pacific World Congress on Computer Science and Engineering (APWC on CSE)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128390964","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"CFD Analysis on a High Pressure Pump for Descaling in the Hot Rolling Mill","authors":"F. H. Kado, Young-Do Choi","doi":"10.1109/APWCONCSE.2017.00040","DOIUrl":"https://doi.org/10.1109/APWCONCSE.2017.00040","url":null,"abstract":"The exposure of iron to oxygen in the air results in the formation of oxide scales on the steel surface. Therefore, it is very important to descale the steel to ensure a high surface quality in hot rolling mills. The descaler consists of several spray headers with nozzles that direct jets of water diagonally at the surface and typically operate at very high pressures of up to 400 bar. The high pressure pump unit is therefore a fundamental part of a descaler. The search for more efficient systems has led to significant growth in the field of pump design and development. This study focuses on the analysis of a high pressure six stage centrifugal pump for descaling in a hot rolling mill. To reduce computation time only a 2 stage fluid domain was used to conduct numerical analysis by steady and unsteady state analysis. The improved design (D2) showed an increase in efficiency by 2.3 percent and an increase in head much closer to the design point.","PeriodicalId":215519,"journal":{"name":"2017 4th Asia-Pacific World Congress on Computer Science and Engineering (APWC on CSE)","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117062780","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Collelogram based Pitch and Voiced/Unvoiced Classification Method for Real-Time Speech Analysis in Noisy Environment","authors":"Md. Ekramul Hamid, M. I. Molla","doi":"10.1109/APWCONCSE.2017.00025","DOIUrl":"https://doi.org/10.1109/APWCONCSE.2017.00025","url":null,"abstract":"Pitch estimation is frequently used in voice quality analysis. Speech in a noisy environment, the accuracy of pitch extraction is poor due to the effect of noises. This paper presents a simple technique for robust pitch estimation as well as voiced/unvoiced classification based on correlogram of noisy speech signal. Like spectrogram, the short-time autocorrelation outputs can be displayed graphically as another image called correlogram is an alternative to short time spectral analysis. This technique operates frame-by-frame basis on normalized autocorrelation function (NACF) of signal. Initially, the noisy speech signal is low pass filtered within the pitch range 50-500 Hz to obtain the pre-filtered signal. Then a threshold function is derived from the NACF. We use this threshold value for pitch position indicator and voiced/unvoiced classifier. The accurate pitch period is obtained from the weighted correlogram. The proposed pitch estimation and voiced/unvoiced classification algorithm using correlogram is very simple, fast and easily implemented in computer. The performance of the proposed algorithm is compared with recently developed EMD based method. The experimental results show that the proposed one is useful in speech analysis research.","PeriodicalId":215519,"journal":{"name":"2017 4th Asia-Pacific World Congress on Computer Science and Engineering (APWC on CSE)","volume":"228 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134088094","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Multi-typed Community Discovery in Dynamic Heterogeneous Information Networks through Tensor Method","authors":"Jibing Wu, Qun Zhang, Lianfei Yu, Wubin Ma, Yahui Wu, S. Deng, Hongbin Huang","doi":"10.1109/APWCONCSE.2017.00019","DOIUrl":"https://doi.org/10.1109/APWCONCSE.2017.00019","url":null,"abstract":"Community discovery in a dynamic heterogeneous information network is a challenging topic and quite more difficult than that in a traditional static homogeneous information network. Community in heterogeneous information network, named multi-typed community, contains multiple types of dynamic objects and links, which brings three challenges. Firstly, the multi-typed communities are heterogeneous. Secondly, The communities are constantly changing along time. Finally, the network schemas for different heterogeneous information networks are various. To overcome these challenges, we propose a multi-typed community discovery method for dynamic heterogeneous information networks through tensor method without the restriction of network schema. A tensor decomposition framework is designed to model the multi-typed community and address the community evolution. Experimental result on a real-world dataset demonstrates the efficiency of our framework.","PeriodicalId":215519,"journal":{"name":"2017 4th Asia-Pacific World Congress on Computer Science and Engineering (APWC on CSE)","volume":"78 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126047526","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Calibration Estimation Using Proposed Distance Function","authors":"A. S. Lata, D. Rao, M. G. M. Khan","doi":"10.1109/APWCONCSE.2017.00037","DOIUrl":"https://doi.org/10.1109/APWCONCSE.2017.00037","url":null,"abstract":"Calibration estimation is a method of adjusting the original design weights in survey sampling to improve estimates. It uses calibrated weights that are determined to minimize a given distance measure to the original design weights while satisfying a set of constraints related to the auxiliary information. In this paper, a distance function is proposed. Using the proposed distance function, a calibration estimator of the population mean in stratified sampling is derived. The calibrated weights are determined by minimizing the proposed distance function subject to the constraint on the mean auxiliary information, using Lagrange Multiplier Technique. A numerical example is presented to illustrate the application and computational details of the proposed calibration estimator. A simulation study, based on a real population is also carried to investigate the efficiency of the proposed calibration estimator. The study reveals that the calibration estimator developed using the proposed distance function is more efficient than the estimators developed using the Chi-square distance.","PeriodicalId":215519,"journal":{"name":"2017 4th Asia-Pacific World Congress on Computer Science and Engineering (APWC on CSE)","volume":"193 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115252220","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Consumer Analytics Framework for Enabling Data-Driven Marketing Intervention Methods","authors":"Edwin Camilleri, S. Miah","doi":"10.1109/APWCONCSE.2017.00011","DOIUrl":"https://doi.org/10.1109/APWCONCSE.2017.00011","url":null,"abstract":"Advances in business technologies have rapidly enhanced capabilities for organisations to capture insights on consumer behavior and demand, generating new opportunities for strategic decision making. The adoption of data driven strategies encourage the exploitation of the diverse richness of consumer data, to gain deep understanding of customer behavior, motivations and expectations. As a result, organisations are enabled with new possibilities to tailor the delivery of products, services and experiences to meet varying (individual) consumer needs. In this study, we design an initial consumer analytics framework for organisational decision makers. The aim of the study is to assist managers by designing a decision support solution. The proposed framework evaluates results from various trials, to quantify the impact of optimized solutions, and assess the potential value from implementing prospective solutions to the broader consumer population.","PeriodicalId":215519,"journal":{"name":"2017 4th Asia-Pacific World Congress on Computer Science and Engineering (APWC on CSE)","volume":"139 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124408769","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}