2021 IEEE/ACIS 22nd International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD)最新文献_第6页

Developing Event Routing Service to Support Context-Aware Service Integration 开发事件路由服务以支持上下文感知的服务集成

2021 IEEE/ACIS 22nd International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD) Pub Date : 2021-11-24 DOI: 10.1109/SNPD51163.2021.9704961

Takuya Nakata, Sinan Chen, Masahide Nakamura

{"title":"Developing Event Routing Service to Support Context-Aware Service Integration","authors":"Takuya Nakata, Sinan Chen, Masahide Nakamura","doi":"10.1109/SNPD51163.2021.9704961","DOIUrl":"https://doi.org/10.1109/SNPD51163.2021.9704961","url":null,"abstract":"In advanced smart systems, heterogeneous distributed services are integrated dynamically, based on various contexts in cyber/physical worlds. Currently, the logic of such service integration is implemented specifically in each application. Thus, as the way of integration becomes sophisticated, the complexity and development effort of the application become quite expensive. In this research, we propose a service, called Uni-messe (Unified Rule-based Message Delivery Service), which provides context-aware service integration in an application-neutral manner. Based on ECR (Event-Condition-Routing) rules, Uni-messe routes an event message from an application to a designated application based on a specified condition. We first present the architecture of Uni-messe with publish/subscribe messaging platform. We then propose the data model of the ECR rules based on 6W1H (Who/Whom/When/Where/What/Why/How) event model. Finally, we define the condition evaluation and routing behaviors. Using the implementation of Uni-messe, we demonstrate automatic curtain control and daily routine automation in a smart home. Since Uni-messe de-couples the rule-based service integration from individual applications, it allows developers and users to implement and reuse flexible integration efficiently.","PeriodicalId":235370,"journal":{"name":"2021 IEEE/ACIS 22nd International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD)","volume":"175 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117088225","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

Nephrine-Albumin Interaction and the Spontaneous Apparition of Series Capacitors in the Renal Glomerulus as Indicator of Kidney Disease 肾-白蛋白相互作用及肾小球串联电容自发显影作为肾病的指示

2021 IEEE/ACIS 22nd International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD) Pub Date : 2021-11-24 DOI: 10.1109/SNPD51163.2021.9704915

H. Nieto-Chaupis

引用次数: 2

Pipeline Manager: A Flexible Semi-automatic Dataflow Analysis Framework 管道管理器:一个灵活的半自动数据流分析框架

2021 IEEE/ACIS 22nd International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD) Pub Date : 2021-11-24 DOI: 10.1109/SNPD51163.2021.9704972

Cheng-Hui Chen, Huai-Che Hong, Yu-Shiang Hong, Hsiao Yu Wang, Shyr-Shen Yu

引用次数: 0

CFD Simulations for Thermal Comfort and Energy Saving 热舒适与节能的CFD模拟

2021 IEEE/ACIS 22nd International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD) Pub Date : 2021-11-24 DOI: 10.1109/SNPD51163.2021.9704978

You Cheng Lu, Chia-Wei Chen, Xuan Jie Gong, Kan-Rong Lee, Chung‐Jen Tseng

{"title":"CFD Simulations for Thermal Comfort and Energy Saving","authors":"You Cheng Lu, Chia-Wei Chen, Xuan Jie Gong, Kan-Rong Lee, Chung‐Jen Tseng","doi":"10.1109/SNPD51163.2021.9704978","DOIUrl":"https://doi.org/10.1109/SNPD51163.2021.9704978","url":null,"abstract":"Energy conservation in buildings open doors for innovative techniques for thermal comfort. Recently, Simulation of smart building energy management (SBEM) has gained attention for energy conservation and efficient utilization in buildings. In this study, we proposed a conceptual framework to achieve thermal comfort inside a low-energy smart building (LESB) with real-time environmental conditions by computational fluid dynamics (CFD) simulation. CFD simulations are performed in natural ventilation mode at five different time periods to understand the climatic conditions inside the LESB in summer solstice. Heat energy entering the room at noon is effectively blocked by a special air layer of the roof. In summer, comfort inside the LESB is limited in natural ventilation mode. So, the indoor thermal comfort can be maintained with air conditioners (AC). In this study, predicted mean vote (PMV) is adopted to predict the thermal comfort with different AC position inside the LESB for energy conservation. AC installation away from the center of the wall avoids short circulation and the air flows to farther distance. The farther air flow helps to maintain uniform temperature inside room. This work helps in understanding the parameters to be considered in designing an LESB with good thermal comfort.","PeriodicalId":235370,"journal":{"name":"2021 IEEE/ACIS 22nd International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134152852","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

Quantum Annealing Approach for the Optimal Real-time Traffic Control using QUBO 基于QUBO的最优实时交通控制的量子退火方法

2021 IEEE/ACIS 22nd International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD) Pub Date : 2021-11-24 DOI: 10.1109/SNPD51163.2021.9704985

Amit Singh, Chun-Yu Lin, Chung-I Huang, Fang-Pang Lin

{"title":"Quantum Annealing Approach for the Optimal Real-time Traffic Control using QUBO","authors":"Amit Singh, Chun-Yu Lin, Chung-I Huang, Fang-Pang Lin","doi":"10.1109/SNPD51163.2021.9704985","DOIUrl":"https://doi.org/10.1109/SNPD51163.2021.9704985","url":null,"abstract":"Traffic congestion is one of the major issues in urban areas, particularly when traffic loads exceed the road’s capacity, resulting in higher petrol consumption and carbon emissions as well as delays and stress for road users. In Asia, the traffic situation can be further deteriorated by road sharing of scooters. How to control the traffic flow to mitigate the congestion has been one of the central issues in transportation research. In this study, we employ a quantum annealing approach to optimize the traffic signals control at a real-life intersection with mixed traffic flows of vehicles and scooters. Considering traffic flow is a continuous and emerging phenomenon, we used quadratic unconstrained binary optimization (QUBO) formalism for traffic optimization, which has a natural equivalence to the Ising model and can be solved efficiently on the quantum annealers, quantum computers or digital annealers. In this article, we first applied the QUBO traffic optimization to artificially generated traffic for a simple intersection, and then we used real-time traffic data to simulate a real \"Dongda-Keyuan\" intersection with dedicated cars and scooter lanes, as well as mixed scooter and car lanes. We introduced two types of traffic light control systems for traffic optimization: C-QUBO and QUBO. Our rigorous QUBO optimizations show that C-QUBO and QUBO outperform the commonly used fixed cycle method, with QUBO outperforming C-QUBO in some instances. It has been found that QUBO optimization significantly relieves traffic congestion for the unbalanced traffic volume. Furthermore, we found that dynamic changes in traffic light signal duration greatly reduce traffic congestion.","PeriodicalId":235370,"journal":{"name":"2021 IEEE/ACIS 22nd International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114235143","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

[Title page] (标题页)

2021 IEEE/ACIS 22nd International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD) Pub Date : 2021-11-24 DOI: 10.1109/snpd51163.2021.9704943

引用次数: 0

An Effective Preprocess for Deep Learning Based Intrusion Detection 基于深度学习的入侵检测有效预处理

2021 IEEE/ACIS 22nd International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD) Pub Date : 2021-11-24 DOI: 10.1109/SNPD51163.2021.9704954

Chia-Ju Lin, Ruey-Maw Chen

引用次数: 1