2015 7th Computer Science and Electronic Engineering Conference (CEEC)最新文献

Efficient recognition of event-related potentials in high-density MEG recordings 高密度脑磁图记录中事件相关电位的有效识别

2015 7th Computer Science and Electronic Engineering Conference (CEEC) Pub Date : 2015-11-23 DOI: 10.1109/CEEC.2015.7332704

C. Reichert, Stefan Durschmid, H. Hinrichs, R. Kruse

{"title":"Efficient recognition of event-related potentials in high-density MEG recordings","authors":"C. Reichert, Stefan Durschmid, H. Hinrichs, R. Kruse","doi":"10.1109/CEEC.2015.7332704","DOIUrl":"https://doi.org/10.1109/CEEC.2015.7332704","url":null,"abstract":"In brain-computer interfacing (BCI), the recognition of task-specific event-related potentials such as P300 responses is an established approach to regaining communication in severely paralyzed people. However, a reliable detection of single trial potentials is challenging, because they are strongly affected by noise. Furthermore, potentials with their subcomponents are often distributed over several channels. With high density sensor arrays, a hypothesis-driven selection of channels, as often performed in BCIs based on electroencephalography (EEG), is challenging. We present a new data-driven approach that constructs spatio-temporal filters, considerably reducing the number of channels, reducing noise, and simultaneously determining the underlying brain dynamics. The extracted signals can be easily used to recognize the event sequence on which users focus their attention, without applying multivariate classification. We evaluated the approach using high density magnetoencephalography (MEG) data, recorded during a BCI experiment based on P300 responses. Compared to the subject's performance achieved with the initial decoding approach, the recognition rate increased significantly from 74.1% (std: 14.8%) to 95.1% (std: 4.9%) correct detections, which implies an information transfer rate improvement from 6.9 bit/min to 13.1 bit/min on average over 17 subjects.","PeriodicalId":294036,"journal":{"name":"2015 7th Computer Science and Electronic Engineering Conference (CEEC)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134477776","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

Elastic-net constrained multiple kernel learning using a majorization-minimization approach 使用最大化最小化方法的弹性网络约束多核学习

2015 7th Computer Science and Electronic Engineering Conference (CEEC) Pub Date : 2015-11-23 DOI: 10.1109/CEEC.2015.7332695

L. Citi

引用次数: 1

On the detection of grey hole and rushing attacks in self-driving vehicular networks 自动驾驶车辆网络中的灰洞检测与冲袭

2015 7th Computer Science and Electronic Engineering Conference (CEEC) Pub Date : 2015-11-23 DOI: 10.1109/CEEC.2015.7332730

Khattab M. Ali Alheeti, A. Gruebler, K. Mcdonald-Maier

{"title":"On the detection of grey hole and rushing attacks in self-driving vehicular networks","authors":"Khattab M. Ali Alheeti, A. Gruebler, K. Mcdonald-Maier","doi":"10.1109/CEEC.2015.7332730","DOIUrl":"https://doi.org/10.1109/CEEC.2015.7332730","url":null,"abstract":"Vehicular ad hoc networks play an important role in the success of a new class of vehicles, i.e. self-driving and semi self-driving vehicles. These networks provide safety and comfort to passengers, drivers and vehicles themselves. These vehicles depend heavily on external communication to predicate the surrounding environment through the exchange of cooperative awareness messages (CAMs) and control data. VANETs are exposed to many types of attacks such as black hole, grey hole and rushing attacks. In this paper, we present an intelligent Intrusion Detection System (IDS) which relies on anomaly detection to protect external communications from grey hole and rushing attacks. Many researchers agree that grey hole attacks in VANETs are a substantial challenge due to them having their distinct types of behaviour: normal and abnormal. These attacks try to prevent transmission between vehicles and roadside units and have a direct and negative impact on the wide acceptance of this new class of vehicles. The proposed IDS is based on features that have been extracted from a trace file generated in a network simulator. In our paper, we used a feed-forward neural network and a support vector machine for the design of the intelligent IDS. The proposed system uses only significant features extracted from the trace file. Our research, concludes that a reduction in the number of features leads to a higher detection rate and a decrease in false alarms.","PeriodicalId":294036,"journal":{"name":"2015 7th Computer Science and Electronic Engineering Conference (CEEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131156619","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: 42

Producing domain-specific languages from strategy patterns 从策略模式生成特定于领域的语言

2015 7th Computer Science and Electronic Engineering Conference (CEEC) Pub Date : 2015-11-23 DOI: 10.1109/CEEC.2015.7332691

Ludvig Kihlman

引用次数: 1

Development of magnetic adhesion based climbing robot for non-destructive testing 基于磁性黏附的无损检测攀爬机器人的研制

2015 7th Computer Science and Electronic Engineering Conference (CEEC) Pub Date : 2015-11-23 DOI: 10.1109/CEEC.2015.7332708

O. Howlader, Traiq Pervez Sattar

引用次数: 19

Student modelling and classification rules learning for educational resource prediction in a multiagent system 面向教育资源预测的多智能体系统学生建模与分类规则学习

2015 7th Computer Science and Electronic Engineering Conference (CEEC) Pub Date : 2015-11-23 DOI: 10.1109/CEEC.2015.7332700

Kennedy E. Ehimwenma, M. Beer, P. Crowther

{"title":"Student modelling and classification rules learning for educational resource prediction in a multiagent system","authors":"Kennedy E. Ehimwenma, M. Beer, P. Crowther","doi":"10.1109/CEEC.2015.7332700","DOIUrl":"https://doi.org/10.1109/CEEC.2015.7332700","url":null,"abstract":"To model support for human learning, rules (i.e. triggering event-conditions-actions) can be classified to encompass any state of student learning activity enroute to appropriate learning material prediction. In an agent based system, each component of an adaptive multiagent system can be represented as agents having individual autonomy and responsibility to realise the overall goal of the system. In this paper, we present an extended work on a multiagent based Pre-assessment System in which a modelling agent employs the technique of One v All Multiple Classification rules to make predictions for learning materials after some prerequisite assessment facts to a desired concept or topic are communicated by the pre-assessment agent. Using SQL ontology tree structure as the domain of learning content, a learning algorithm is described as a process for estimating the total number of classified rules required for the pre-assessment system. This estimate is proven to be dependent on: 1) two binary state values, 2) the number of leaf-nodes in the ontology tree, and 3) the number of prerequisite concept(s) to a desired concept. In addition, is the learning algorithm with which a modelling agent can increment or decrement its classified number of rules.","PeriodicalId":294036,"journal":{"name":"2015 7th Computer Science and Electronic Engineering Conference (CEEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122954221","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: 9

Development of a universal design for Learning-Based Teaching Collaborative System (UDL-BTCS) to support accessible learning 开发基于学习的教学协作系统(UDL-BTCS)的通用设计，以支持无障碍学习

2015 7th Computer Science and Electronic Engineering Conference (CEEC) Pub Date : 2015-11-23 DOI: 10.1109/CEEC.2015.7332712

Ahmed Al-Azawei, Karsten Øster Lundqvist

{"title":"Development of a universal design for Learning-Based Teaching Collaborative System (UDL-BTCS) to support accessible learning","authors":"Ahmed Al-Azawei, Karsten Øster Lundqvist","doi":"10.1109/CEEC.2015.7332712","DOIUrl":"https://doi.org/10.1109/CEEC.2015.7332712","url":null,"abstract":"Educational environments should flexibly be designed to serve all learners irrespective of their individual differences, needs, and abilities. However, preparation of qualified instructors is a mainstay for developing inclusive learning. Academic staffs, more specifically, in developing countries need special training programs and efficient interaction environments to improve their teaching abilities. This research aims to develop a Universal Design for Learning-Based Teaching Collaborative System (UDL-BTCS) to support accessible learning. The proposed application represents a network between academic staff and educational institutions allowing them to embrace UDL principles in post k-12. A similar disciplinary approach will be adopted to recommend the best peers in a particular subject. The distributed pre-survey to 156 academic staff in Iraq indicates the need for such a collaborative system. It will assist addressing learner differences and responding to their individual needs. The core contribution of the proposed framework is delivering accessible teacher training courses to develop their individual skills and this, in turn, can promote the educational system in developing countries. A case study is chosen from Iraq because this country has experienced a series of conflicts that duplicated the number of people with special learning needs.","PeriodicalId":294036,"journal":{"name":"2015 7th Computer Science and Electronic Engineering Conference (CEEC)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116039240","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

Low-cost programmable battery dischargers and application in battery model identification 低成本可编程电池放电装置及其在电池型号识别中的应用

2015 7th Computer Science and Electronic Engineering Conference (CEEC) Pub Date : 2015-11-23 DOI: 10.1109/CEEC.2015.7332729

K. Propp, A. Fotouhi, D. Auger

引用次数: 11

Electric vehicle battery model identification and state of charge estimation in real world driving cycles 真实工况下电动汽车电池模型辨识与充电状态估计

2015 7th Computer Science and Electronic Engineering Conference (CEEC) Pub Date : 2015-11-23 DOI: 10.1109/CEEC.2015.7332732

A. Fotouhi, K. Propp, D. Auger

{"title":"Electric vehicle battery model identification and state of charge estimation in real world driving cycles","authors":"A. Fotouhi, K. Propp, D. Auger","doi":"10.1109/CEEC.2015.7332732","DOIUrl":"https://doi.org/10.1109/CEEC.2015.7332732","url":null,"abstract":"This paper describes a study demonstrating a new method of state-of-charge (SoC) estimation for batteries in real-world electric vehicle applications. This method combines realtime model identification with an adaptive neuro-fuzzy inference system (ANFIS). In the study, investigations were carried down on a small-scale battery pack. An equivalent circuit network model of the pack was developed and validated using pulse-discharge experiments. The pack was then subjected to demands representing realistic WLTP and UDDS driving cycles obtained from a model of a representative electric vehicle, scaled match the size of the battery pack. A fast system identification technique was then used to estimate battery parameter values. One of these, open circuit voltage, was selected as suitable for SoC estimation, and this was used as the input to an ANFIS system which estimated the SoC. The results were verified by comparison to a theoretical Coulomb-counting method, and the new method was judged to be effective. The case study used a small 7.2 V NiMH battery pack, but the method described is applicable to packs of any size or chemistry.","PeriodicalId":294036,"journal":{"name":"2015 7th Computer Science and Electronic Engineering Conference (CEEC)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123723501","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: 31

On association rules mining in the context of wireless networks 无线网络环境下的关联规则挖掘

2015 7th Computer Science and Electronic Engineering Conference (CEEC) Pub Date : 2015-11-23 DOI: 10.1109/CEEC.2015.7332709

R. Kwan, D. Lake

引用次数: 1