Proceedings of the 2019 3rd International Symposium on Computer Science and Intelligent Control最新文献_第5页

Towards Preprocessing Guidelines for Neural Network Embedding of Customer Behavior in Digital Retail 数字零售中顾客行为神经网络嵌入的预处理准则研究

Proceedings of the 2019 3rd International Symposium on Computer Science and Intelligent Control Pub Date : 2019-09-25 DOI: 10.1145/3386164.3389092

Douglas Cirqueira, M. Helfert, Marija Bezbradica

{"title":"Towards Preprocessing Guidelines for Neural Network Embedding of Customer Behavior in Digital Retail","authors":"Douglas Cirqueira, M. Helfert, Marija Bezbradica","doi":"10.1145/3386164.3389092","DOIUrl":"https://doi.org/10.1145/3386164.3389092","url":null,"abstract":"Shopping transactions in digital retailing platforms enable retailers to understand customers' needs for providing personalized experiences. Researchers started modeling transaction data through neural network embedding, which enables unsupervised learning of contextual similarities between attributes in shopping transactions. However, every study brings different approaches for embedding customer's transactions, and clear preprocessing guidelines are missing. This paper reviews the recent literature of neural embedding for customer behavior and brings three main contributions. First, we provide a set of guidelines for preprocessing and modeling consumer transaction data to learn neural network embeddings. Second, it is introduced a multi-task Long Short-Term Memory Network to evaluate the guidelines proposed through the task of purchase behavior prediction. Third, we present a multi-contextual visualization of customer behavior embeddings, and its usefulness for purchase prediction and fraud detection applications. Results achieved illustrate accuracies above 40%, 60%, and 80% for predicting the next days, hours, and products purchased for some customers in a dataset composed of online grocery shopping transactions.","PeriodicalId":231209,"journal":{"name":"Proceedings of the 2019 3rd International Symposium on Computer Science and Intelligent Control","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126366711","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: 8

Integrated Round Trip Path Dual Registers (RTPDR) Fault Detection 集成往返路径双寄存器(RTPDR)故障检测

Proceedings of the 2019 3rd International Symposium on Computer Science and Intelligent Control Pub Date : 2019-09-25 DOI: 10.1145/3386164.3389105

Nkyi Stephen, Yan Feng, Rodor Gershon, K. A. Bonsu

引用次数: 1

A Data-Centric Accelerator Design Based on Processing in Memory 基于内存处理的以数据为中心的加速器设计

Proceedings of the 2019 3rd International Symposium on Computer Science and Intelligent Control Pub Date : 2019-09-25 DOI: 10.1145/3386164.3390515

Young-Kyu Kim, Dongsub Kim, Young-Jong Jang

{"title":"A Data-Centric Accelerator Design Based on Processing in Memory","authors":"Young-Kyu Kim, Dongsub Kim, Young-Jong Jang","doi":"10.1145/3386164.3390515","DOIUrl":"https://doi.org/10.1145/3386164.3390515","url":null,"abstract":"The data-centric computing paradigm has recently garnered a great deal of attention from the research community as a method for overcoming the performance limits of traditional computing systems, including the memory wall crisis. One promising approach to mitigating this issue in future computer systems is processing in memory (PIM). PIM facilitates the stacking of processing logic and memory dies in a single package and minimizes data movement by placing the computation close to where the data reside. As this approach, however, requires compatibility with existing computer architectures and operating systems, it has not been widely adopted. To meet the need for compatibility, this paper proposes a hardware architecture of PIM and verifies the functions of the proposed architecture by an embedded system based on the PIM platform, which employs a commercialized application processor (AP) and a standard memory protocol. We also propose a PIM-based data-centric accelerator for image processing. Experiments involve the development of AP- and PIM-based application programs for processing a median filter that uses a 24-bit color image with a 512 × 512 resolution test image. Using the same test image, we measure the median filter processing times and compare the processing times of the AP and the proposed PIM. Results of the experiments show that the processing time of PIM is about 84% faster than that of the AP.","PeriodicalId":231209,"journal":{"name":"Proceedings of the 2019 3rd International Symposium on Computer Science and Intelligent Control","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114500269","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: 0

Gait Tracking for Lower Extremity Exoskeleton Based on Impedance Control 基于阻抗控制的下肢外骨骼步态跟踪

Proceedings of the 2019 3rd International Symposium on Computer Science and Intelligent Control Pub Date : 2019-09-25 DOI: 10.1145/3386164.3386171

Yanli Geng, Yawei Chen, Bokai Xuan, Qian Wang

引用次数: 0

Disease Prediction Using Weighted Artificial Immune System 加权人工免疫系统的疾病预测

Proceedings of the 2019 3rd International Symposium on Computer Science and Intelligent Control Pub Date : 2019-09-25 DOI: 10.1145/3386164.3389085

Melike Günay, Zeynep Orman

{"title":"Disease Prediction Using Weighted Artificial Immune System","authors":"Melike Günay, Zeynep Orman","doi":"10.1145/3386164.3389085","DOIUrl":"https://doi.org/10.1145/3386164.3389085","url":null,"abstract":"The Artificial Immune System (AIS) is a computational intelligence method inspired from the human immune system, which is applied to real-world problem solving related to classification, optimization and anomaly detection as an alternative approach to many data mining techniques. This paper presents a medical disease prediction system by using the AIS algorithm. The proposed system is implemented and tested on two different datasets which include breast cancer data and heart disease data with four different types of illness. Two other well-known data mining techniques that are Artificial Neural Networks (ANN) and K-Nearest Neighbor (KNN) are also tested on the same datasets to make a comparison in terms of their classification efficiency. By using AIS,. We also analyze accuracy obtained on breast cancer dataset is 98.08% and heart disease dataset is 70%. In addition to this, AIS algorithm gives the best classification results for both datasets the positive effect of preprocessing data before classification. Clearly, decreasing the number of different values that a class can be assigned for multivariate classes and assigning weights to each feature in heart disease dataset give prediction result with higher accuracy.","PeriodicalId":231209,"journal":{"name":"Proceedings of the 2019 3rd International Symposium on Computer Science and Intelligent Control","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133944609","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

Multi-sample Unit Preprocessing Platform and Its Control System Design 多样本单元预处理平台及其控制系统设计

Proceedings of the 2019 3rd International Symposium on Computer Science and Intelligent Control Pub Date : 2019-09-25 DOI: 10.1145/3386164.3387259

Jingjing Ran, Zhiyong Fan, Yamei Luo, Liangen Yang, Tao He, Xuanze Wang

{"title":"Multi-sample Unit Preprocessing Platform and Its Control System Design","authors":"Jingjing Ran, Zhiyong Fan, Yamei Luo, Liangen Yang, Tao He, Xuanze Wang","doi":"10.1145/3386164.3387259","DOIUrl":"https://doi.org/10.1145/3386164.3387259","url":null,"abstract":"Many complex samples must be preprocessed to analyze and detect. And sample preprocessed accounts for more than 60% of the entire sample analysis process. In order to improve efficiency and accuracy, an automated multi-sample preprocessing platform was designed and its automation control system was discussed. The functions of the platform mainly include: transferring 10 kinds of solvents, processing 96 samples, ultrasonic treatment, automatic cleaning. The control system of the platform is mainly composed of computer, PLC, syringe pump, distribution valve, sensor, stepping motor, ultrasonic pool, and the three-dimensional motion system. The platform adopts distributed control by LabVIEW and PLC, with friendly human-computer interaction interface and complete function. The platform selects six syringe pumps equipped with a dispensing valve to achieve the fluid transfer accuracy and efficiency requirements of the platform. The six syringe pumps are independent of each other, and the syringe range is 50μL~50ml.Its working mode divided into normal mode and micro-step mode, which can achieve high throughput and ensure its volume accuracy. Install some proximity switches on the 3D motion system to achieve zero and limit point positioning for each axis. The PLC compares the current position with the received position command to obtain the difference in orientation. Finally, the PLC sends the required pulses to the stepper motor driver, and the proximity switch can verify the sample position.","PeriodicalId":231209,"journal":{"name":"Proceedings of the 2019 3rd International Symposium on Computer Science and Intelligent Control","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124946813","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: 0

Framework for Continuous System Security Protection in SWaT SWaT持续系统安全保护框架

Proceedings of the 2019 3rd International Symposium on Computer Science and Intelligent Control Pub Date : 2019-09-25 DOI: 10.1145/3386164.3387297

Cheah Huei Yoong, Jonathan Heng

{"title":"Framework for Continuous System Security Protection in SWaT","authors":"Cheah Huei Yoong, Jonathan Heng","doi":"10.1145/3386164.3387297","DOIUrl":"https://doi.org/10.1145/3386164.3387297","url":null,"abstract":"Researchers implemented algorithms and attack techniques in programmable logic controllers of cyber physical systems like water treatment testbeds and power testbeds. However, in a reallife water plant such methods are almost impossible to be realised because the public utility company will not risk the damages may cause to the existing system by the software changes as the plant is actively producing water for the consumers. A reduction or stoppage of water due to system modifications will affect the daily life of many people. Thus, this paper focuses on the architecture framework to generate, run, and test research techniques particularly machine learning invariants in Secure Water Treatment (SWaT) that can be used in a real-life water treatment plant through a non-intrusive method. This framework has been thoroughly tested in SWaT using single or multiple invariants. The software in this framework allows substantial code reuse of data structures and algorithms. The programs to generate, run, and test the invariants are written in Python. The supervised machine learning invariants can detect anomalies without any false alarms for continuous systems in SWaT through physical device attacks and software generated attacks. This framework is also applicable to other cyber physical systems like power and gas testbeds with certain modifications such as the access interfaces and invariant designs. The future direction of this research is to provide a wider coverage protection solution framework to detect anomalies for discrete and continuous systems in cyber physical systems.","PeriodicalId":231209,"journal":{"name":"Proceedings of the 2019 3rd International Symposium on Computer Science and Intelligent Control","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115209619","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: 4

An IoT-based HIS for Healthcare Risk Management and Cost Control: A Proposal 基于物联网的医疗风险管理与成本控制HIS方案

Proceedings of the 2019 3rd International Symposium on Computer Science and Intelligent Control Pub Date : 2019-09-25 DOI: 10.1145/3386164.3386173

Raffaele Chianese, F. Gargiulo, Michele Arciprete

{"title":"An IoT-based HIS for Healthcare Risk Management and Cost Control: A Proposal","authors":"Raffaele Chianese, F. Gargiulo, Michele Arciprete","doi":"10.1145/3386164.3386173","DOIUrl":"https://doi.org/10.1145/3386164.3386173","url":null,"abstract":"In the last decade Hospital Information Systems (HIS) received extensive research attention because international studies [16] [3] show how the introduction of HISs contributes to general errors reduction and could result in substantial improvement in patient safety. This paper introduces FIDMED, a Hospital Information Systems (HIS) based on a deep integration between hardware and software, both of them specifically designed and implemented by Kiranet I.C.T. Research Centre. It comprises a web based clinical application, named FIDCARE, a set of smart medical carts, smart medical cabinets and smart pocket dispenser, respectively named FIDRUN, FIDROK and FIDRAY. From a high-level user perspective, FIDMED aims to: a) reduction of the healthcare services clinical risk, b) cost control and cost reduction and c) improvement in the overall quality assurance of clinical processes. From a technical point of view, FIDCARE is a platform implementing an interesting architecture combining technologies such as Representational State Transfer (REST) services, Radio- Frequency IDentification (RFID), Barcodes Management, Adaptive Graphical User Interface, Gesture Interface and Voice User Interfaces everything under the \"hat\" of Internet of Things (IoT).","PeriodicalId":231209,"journal":{"name":"Proceedings of the 2019 3rd International Symposium on Computer Science and Intelligent Control","volume":"100 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113959467","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

Formation Maintenance and Collision Avoidance in a Swarm of Drones 无人机群的编队维护与避碰

Proceedings of the 2019 3rd International Symposium on Computer Science and Intelligent Control Pub Date : 2019-09-25 DOI: 10.1145/3386164.3386176

J. Yasin, M. Haghbayan, J. Heikkonen, H. Tenhunen, J. Plosila

{"title":"Formation Maintenance and Collision Avoidance in a Swarm of Drones","authors":"J. Yasin, M. Haghbayan, J. Heikkonen, H. Tenhunen, J. Plosila","doi":"10.1145/3386164.3386176","DOIUrl":"https://doi.org/10.1145/3386164.3386176","url":null,"abstract":"Distributed formation control and obstacle avoidance are two important challenges in autonomous navigation of a swarm of drones and can negatively affect each other due to possible competition that arises between them. In such a platform, a multi-priority control strategy is required to be implemented in every node in order to dynamically optimise the tradeoffs between collision avoidance and formation control w.r.t. given system constraints, e.g. on energy and response time, by reordering priorities in run-time and selecting the suitable formation and collision avoidance approach based on the state of the swarm, i.e., the kinematic parameters and geographical distribution of the nodes as well as the location of the observed obstacles. In this paper, we propose a method for formation/collision co-awareness with the goal of energy consumption and response time minimisation. The algorithm consists of two partial nested feedback-based control loops and based on three observations: 1) for formation maintenance the relative location of the neighbour nodes; 2) observation of an obstacle by a local sensor, represented by a boolean value, used for both formation control and collision avoidance; and 3) in critical situations for avoiding collisions, the distance of an obstacle to the node. The obtained comprehensive experimental results show that the proposed approach appropriately keeps the formation during the swarm's travel in the presence of different obstacles.","PeriodicalId":231209,"journal":{"name":"Proceedings of the 2019 3rd International Symposium on Computer Science and Intelligent Control","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121885827","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: 20

Trust Mechanism Using Clustering Approach in Vehicular Network 基于聚类方法的车联网信任机制

Proceedings of the 2019 3rd International Symposium on Computer Science and Intelligent Control Pub Date : 2019-09-25 DOI: 10.1145/3386164.3389107

Nourelimane Bousmaha, M. Maachaoui, Rachid Chelouah

引用次数: 0