2019 International Conference on Engineering, Science, and Industrial Applications (ICESI)最新文献_第4页

Forecasting New Apparel Sales Using Deep Learning and Nonlinear Neural Network Regression 基于深度学习和非线性神经网络回归的服装销售预测

2019 International Conference on Engineering, Science, and Industrial Applications (ICESI) Pub Date : 2019-08-01 DOI: 10.1109/ICESI.2019.8863024

Chandadevi Giri, S. Thomassey, Jenny Balkow, Xianyi Zeng

{"title":"Forecasting New Apparel Sales Using Deep Learning and Nonlinear Neural Network Regression","authors":"Chandadevi Giri, S. Thomassey, Jenny Balkow, Xianyi Zeng","doi":"10.1109/ICESI.2019.8863024","DOIUrl":"https://doi.org/10.1109/ICESI.2019.8863024","url":null,"abstract":"Compared to other retail industries, fashion retail industry faces many challenges to foresee future demand of its products. This is due to ever-changing choices of their consumers, who get influenced by rapidly changing market trends and it leads to the short life cycle of a fashion product. Due to the advent of e-commerce business models, fashion retailers have to put a multitude of virtual product images along with their feature information on their websites in order for their customers to know the fashion products and improve their purchasing experience. It is imperative for fashion retailers to predict future consumer preferences in advance; however, they lack advanced tools to achieve this goal. To overcome this problem, this research work combines the historical information of products with their image features using deep learning and predicts future sales. Apparel images are converted into feature vectors and then are merged with historical sales data. We applied backward propagation neural network model to predict the sales of a new product. It is found that the model performs quite well despite the small size of the dataset. This approach could be promising for forecasting the new arrivals of apparels in the market, and fashion retailers could improve their efficiency and growth.","PeriodicalId":249316,"journal":{"name":"2019 International Conference on Engineering, Science, and Industrial Applications (ICESI)","volume":"92 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114625454","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}

引用次数: 10

Short-Term Photovoltaic Power Forecasting Using Artificial Neural Network Considering Multiple Time Lags 考虑多时间滞后的人工神经网络短期光伏发电预测

2019 International Conference on Engineering, Science, and Industrial Applications (ICESI) Pub Date : 2019-08-01 DOI: 10.1109/ICESI.2019.8862996

Muhammad Murtadha Othman, Muhamad Hafizuddin Idris Ramlee, M. H. Harun, I. Musirin

引用次数: 4

Time series prediction for EMS with machine learning 基于机器学习的EMS时间序列预测

2019 International Conference on Engineering, Science, and Industrial Applications (ICESI) Pub Date : 2019-08-01 DOI: 10.1109/ICESI.2019.8863006

M. Bizjak, G. Štumberger, B. Žalik, N. Lukač

{"title":"Time series prediction for EMS with machine learning","authors":"M. Bizjak, G. Štumberger, B. Žalik, N. Lukač","doi":"10.1109/ICESI.2019.8863006","DOIUrl":"https://doi.org/10.1109/ICESI.2019.8863006","url":null,"abstract":"One of the key purposes of an Energy Management System (EMS) is the optimisation of energy costs, which relies on accurate prediction of their components' behaviour in the short-term future. EMS operates various types of devices that consume energy. For each device, the short-term prediction of its parameters is required for effective EMS. A machine learning approach is proposed for predicting the behaviour of EMS devices. For this purpose, a Long Short-Term Memory (LSTM) Recurrent Neural Network (RNN) is used, where multivariate time-series data serve as input. For each device, a new model is trained with the corresponding measurements of the devices' parameters and local environment variables, which are provided as time-series with the same time-step. One of the time series is selected as the predicted output. In the experiments, the proposed approach was applied to train a model for predicting the temperature in a water heater, based on the time-series of water temperature and heater power consumption. The water temperature was estimated successfully for the short-term future, based on the input temperature and planned heater action. For the two-step prediction, the RMSE of 0.006 K was calculated between the predicted and measured temperatures.","PeriodicalId":249316,"journal":{"name":"2019 International Conference on Engineering, Science, and Industrial Applications (ICESI)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114510348","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}

引用次数: 3

Visualization of the Inventive Principle of TRIZ to Improve Problem-Solving Ability in Design Processs 可视化TRIZ的发明原理以提高设计过程中的问题解决能力

2019 International Conference on Engineering, Science, and Industrial Applications (ICESI) Pub Date : 2019-08-01 DOI: 10.1109/ICESI.2019.8863011

N. Faria

引用次数: 3

Value Chain and Customer's Perception towards Organic Livestock Foods 价值链与消费者对有机畜禽食品的认知

2019 International Conference on Engineering, Science, and Industrial Applications (ICESI) Pub Date : 2019-08-01 DOI: 10.1109/ICESI.2019.8863002

Suchawadee Sarunyut, A. Kessuvan

{"title":"Value Chain and Customer's Perception towards Organic Livestock Foods","authors":"Suchawadee Sarunyut, A. Kessuvan","doi":"10.1109/ICESI.2019.8863002","DOIUrl":"https://doi.org/10.1109/ICESI.2019.8863002","url":null,"abstract":"Due to food safety and environmentally conscious, many people prefer organic consumption which affects the increase in its demand. In Thailand, the growth rate of organic land, as well as organic livestock, has continuously increased. Organic livestock becomes more important since consumers tend to be aware of food safety. This research aims to study the business processes of organic livestock food supply chain, specifically a case of organic poultry and egg by using Integration Definition for Function Modeling (IDEF0), to examine the expert's opinion on motivation and value proposition toward organic livestock foods from the food service business's viewpoint, and to survey the knowledge and value perception toward organic livestock foods from the consumer's viewpoint. The result shows that the food service's motivation to adopt organic livestock and value proposition which are food safety and high quality including nutrition, texture, and taste. In addition, the knowledge and value perception of organic livestock foods has been indicated by the end consumer. The information from food service business and end consumer's viewpoint will become a guideline to stimulate the organic livestock consumptions","PeriodicalId":249316,"journal":{"name":"2019 International Conference on Engineering, Science, and Industrial Applications (ICESI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122829515","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}

引用次数: 1

Detection of snow levels in the Slovenian Alps at different seasons using Sentinel-1 利用Sentinel-1探测斯洛文尼亚阿尔卑斯山不同季节的积雪水平

2019 International Conference on Engineering, Science, and Industrial Applications (ICESI) Pub Date : 2019-08-01 DOI: 10.1109/ICESI.2019.8863012

David Jesenko, D. Mongus, Shuang Liu, M. Čekada

引用次数: 0

Stock Price Prediction based on Recurrent Neural Network with Long Short-Term Memory Units 基于长短期记忆单元的递归神经网络股票价格预测

2019 International Conference on Engineering, Science, and Industrial Applications (ICESI) Pub Date : 2019-08-01 DOI: 10.1109/ICESI.2019.8863005

Cheng Peng, Zhihong Yin, Xinxin Wei, Anqi Zhu

引用次数: 6

Wide Stopband Microstrip Diplexer Using a Novel Configuration for Frequency Division Duplex and GSM-4G Applications 一种用于分频双工和GSM-4G应用的新型配置的宽阻带微带双工器

2019 International Conference on Engineering, Science, and Industrial Applications (ICESI) Pub Date : 2019-08-01 DOI: 10.1109/ICESI.2019.8862988

S. Yahya, A. Rezaei, L. Noori, M. Jamaluddin

{"title":"Wide Stopband Microstrip Diplexer Using a Novel Configuration for Frequency Division Duplex and GSM-4G Applications","authors":"S. Yahya, A. Rezaei, L. Noori, M. Jamaluddin","doi":"10.1109/ICESI.2019.8862988","DOIUrl":"https://doi.org/10.1109/ICESI.2019.8862988","url":null,"abstract":"This paper presents a high performance microstrip diplexer based on a novel geometrical structure. The realized diplexer consists of coupled lines and semicircular structures. It operates at 2.58 GHz and 2.72 GHz, for GSM-4G and wireless applications. The diplexer channels are close to each other, which fulfill the frequency division duplex (FDD) application needs. The wide stopband rejections for both S21 and S31 are provided up to 15 GHz. Despite of quite close channels, the simulated and measured isolation between the two channels (S32) is better than −20 dB, from DC up to 20 GHz. The designing method is based on providing a theoretical approach to attenuate the harmonics and tuning the resonance frequency. Meanwhile, several transmission zeros are created after the passbands, which improve the stopband properties. The proposed diplexer provides sharp transition edges for both passbands. The high performance is obtained using a compact size of 0.047λ2. To verify the designing methodology, the proposed diplexer is fabricated and measured. Good agreement between simulation results and measurement results are observed.","PeriodicalId":249316,"journal":{"name":"2019 International Conference on Engineering, Science, and Industrial Applications (ICESI)","volume":"174 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134033233","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}

引用次数: 2

Application of Novel Ergonomic Postural Assessment Method in Indonesia Creative Industry Centers 新型人体工程学姿势评估方法在印尼创意产业中心的应用

2019 International Conference on Engineering, Science, and Industrial Applications (ICESI) Pub Date : 2019-08-01 DOI: 10.1109/ICESI.2019.8863008

Merry Siska, Reski Mai Candra, Eki Saputra, M. Zein, A. Wenda, N. Yanti

{"title":"Application of Novel Ergonomic Postural Assessment Method in Indonesia Creative Industry Centers","authors":"Merry Siska, Reski Mai Candra, Eki Saputra, M. Zein, A. Wenda, N. Yanti","doi":"10.1109/ICESI.2019.8863008","DOIUrl":"https://doi.org/10.1109/ICESI.2019.8863008","url":null,"abstract":"An operator's productivity should be affected by the conditions of the work station where the operators are carrying out their activities. The conditions of the work station or good work environment for an operator are effective, comfortable, safe, healthy and efficient. This paper analyze the Novel Ergonomic Postural Assessment Method application in the Indonesia creative industry centers in Bandung. Bad operator work postures carried out every day cause a high risk of musculoskeletal disorders for the operators in the creative industry centers in Indonesia. Thus, the research problems can be formulated as: How is the application of the Novel Ergonomic Postural Assessment Method (NERPA) in the center of creative industries in Indonesia. Based on the constraints of the problem, each new design in four creative centers in Bandung was conducted. In the doll making, the first posture is designing doll pattern station which is a priority for improvement by designing a table to reduce the level of musculoskeletal risk for its workers. The fourth body posture in shoe-making is a priority to be improved by making a design tool to cut the footwear to reduce the level of musculoskeletal risk. Knitted clothing center having level of musculoskeletal risk are priority improvements, namely in the first posture because the operator works in long standing state. Tofu making center also has high level of musculoskeletal risk, namely in the molding tofu station in posture 5.","PeriodicalId":249316,"journal":{"name":"2019 International Conference on Engineering, Science, and Industrial Applications (ICESI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130919281","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}

引用次数: 1

Laser Metal Deposition of Titanium Alloy (Ti6Al4V): A Review 激光金属沉积钛合金Ti6Al4V的研究进展

2019 International Conference on Engineering, Science, and Industrial Applications (ICESI) Pub Date : 2019-08-01 DOI: 10.1109/ICESI.2019.8863018

E. Akinlabi, Y. Okamoto, M. Maina, S. Akinlabi, S. Pityana, M. Tlotleng, G. A. Soliu, Rasheedat Modupe Mahamood

{"title":"Laser Metal Deposition of Titanium Alloy (Ti6Al4V): A Review","authors":"E. Akinlabi, Y. Okamoto, M. Maina, S. Akinlabi, S. Pityana, M. Tlotleng, G. A. Soliu, Rasheedat Modupe Mahamood","doi":"10.1109/ICESI.2019.8863018","DOIUrl":"https://doi.org/10.1109/ICESI.2019.8863018","url":null,"abstract":"Laser metal deposition (LMD) is an additive manufacturing (AM) technologies in that belongs to the class of direct energy deposition which is suitable for manufacturing of alloys and composites materials. LMD is an efficient AM technique which is capable of producing end-use products starting from depositing the powder/wire material layer-by-layer. During LMD process, a laser beam is used as a heat source to generate a melt-pool on the substrate and melts the powder that is deposited through a co-axial nozzle and supported with a shielding gas that helps to prevent oxidation. LMD is capable of producing complex shaped and functionally graded parts which are useful in many industrial applications. This AM technology can also be used in repairing worn out parts that cannot be repaired by other manufacturing technology. In this paper, a review of laser metal deposition of titanium alloy is presented. This provides an overview of LMD of titanium alloys grade 5 (Ti6Al4V) and focuses on the effects of processing parameters on the overall evolving properties.","PeriodicalId":249316,"journal":{"name":"2019 International Conference on Engineering, Science, and Industrial Applications (ICESI)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130696764","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}

引用次数: 2