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Data Mining Tools and deep brain stimulation target evaluation

Data Mining Tools and deep brain stimulation target evaluati...

6th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, IDAACS'2011

作者： Geman, Oana Turcu, Cornel Faculty of Electrical Engineering and Computer Science Stefan Cel Mare University Suceava Romania

ISBN: (纸本)9781457714238

Parkinson's disease is a slow, but inexorably progressive disorder;with unknown origin (only about 10% cases are genetically based). It is a chronic neurological disease, defined by tremor, slow motion and stiffness. The neurons do not produce dopamine anymore or produce very low level of this chemical mediator, necessary on movement coordination. Data testifies that in our country more than 90,000 patients suffer from this disease. The DBS (Deep Brain Stimulation) is an invasive method of applying electrical stimulus to a sum of thalamic nucleus at frequencies greater than 100Hz and represents now a successful method for reducing the tremor. First, we assessed the relevance of nonlinear dynamic parameters in tremor analysis. Second, we applied Data Mining Tools to solve the well known clustering and classification problem and DBS treatments results identify. In most cases, there is no way to predict or prevent sporadic PD. Being an invasive method it is important to predict patient's response to DBS and therefore the next step is to determine a model of the Parkinson tremor. © 2011 IEEE.

关键词： Data mining

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Container vs Function as a Service: Impact on Cloud Deployment for Real-World Applications 47

Container vs Function as a Service: Impact on Cloud Deployme...

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47th ICT and Electronics Convention, MIPRO 2024

作者： Petrovski, Toshe Gusev, Marjan University Of Ss. Cyril And Methodius Faculty Of Computer Science And Engineering Skopje Macedonia

ISBN: (纸本)9798350382495

This paper compares Container as a Service (CaaS) and Function as a Service (FaaS) as different cloud deployment strategies for a multitenant ride-sharing web application Trek. The application is highly network-intensive, relying extensively on third-party APIs for collecting location data about cities and driving routes. Additionally, it is CPU-intensive due to real-time data processing of driver locations while the vehicle moves towards the destination *** study evaluates both approaches concerning variable workloads and their impact on system responsiveness, resource utilization, and performance during peak and off-peak periods. It closely examines crucial performance metrics such as latency and throughput to analyze the implications of both approaches for end-user experience and overall operational efficiency. Additionally, our study analyzes several critical factors like scalability and deployment complexity. We conducted experiments on AWS ECS (CaaS) and AWS Lambda (FaaS) to gain actionable insights into the trade-offs, benefits, and limitations of each platform, enabling informed decision-making for cloud-based application deployment. © 2024 IEEE.

关键词： Containers

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Evaluating Azure Container, Backend, and Function as a Service 32

Evaluating Azure Container, Backend, and Function as a Servi...

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32nd Telecommunications Forum, TELFOR 2024

作者： Ristovski, Daniel Gusev, Marjan Ss Cyril and Methodius University in Skopje Faculty of Computer Science and Engineering Skopje Macedonia

ISBN: (纸本)9798350391053

In this research paper, we investigate the performance of Container, Backend, and Function as a Service as various Microsoft cloud service models for specific computational and memory-bound use cases. The research method involves practical experiments to present insights into functionalities, advantages, and limitations. Our research shows that AKS performs the best compared to Web Apps and Azure Functions, reaching the highest throughput for a quick sort application. © 2024 IEEE.

关键词： Cloud platforms

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Decision-analytics-based green performance evaluation in the railway transportation industry – An integrated hesitant fuzzy approach

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Transportation Research Interdisciplinary Perspectives 2025年 31卷

作者： Norouzi, Ashraf Pamucar, Dragan Simic, Vladimir Department of Industrial Engineering Faculty of Engineering Arak University Arak Iran Department of Operations Research and Statistics Faculty of Organizational Sciences University of Belgrade Belgrade Serbia İstinye University Faculty of Engineering and Natural Sciences Industrial Engineering Department Sarıyer İstanbul 34396 Turkey Department of Mechanics and Mathematics Western Caspian University Baku Azerbaijan University of Belgrade Faculty of Transport and Traffic Engineering Vojvode Stepe 305 Belgrade 11010 Serbia Department of Computer Science and Engineering College of Informatics Korea University 145 Anam-ro Seongbuk-gu Seoul 02841 South Korea

Green performance evaluation at the industry level is of great importance in logistics literature. This evaluation can assist in more effectively allocating government resources to support companies with superior environmental performance. Many criteria used to evaluate the environmental performance of companies involve uncertainty and ambiguity inherent in expert judgments. To address this issue, the present research aims to develop a new hybrid method for group decision-making in a hesitant fuzzy environment. The proposed method investigates companies’ green performance in Iran's passenger rail transport industry. For this purpose, by combining the field experts’ knowledge and literature review, the framework of the decision-making problem is determined. The paper's main contribution is to extend a hybrid MADM technique into interval type-2 hesitant fuzzy (IT2HF) environment. In this hybrid approach, the IT2HF SWARA (Stepwise Weight Assessment Ratio Analysis) is utilized to determine the weight of criteria, and IT2HF MARCOS (Measurement of Alternatives and Ranking according to the Compromise Solution) is applied to evaluate the alternatives. Moreover, the proposed approach provides a systematic way to aggregate the opinions of a group of experts through the use of hesitant fuzzy sets. At the same time, each of these experts can explain their opinions in hesitant terms. The data used in this research is obtained from a group of qualified field experts. According to their opinions, the performance of eight major companies that own more than 80% of Iran's private railway fleet has been evaluated. To validate the results, sensitivity and comparative analysis are carried out. The results indicate the stability of the ranking achieved with the proposed approach. © 2025 The Author(s)

关键词： Group decision-making Hesitant fuzzy MARCOS Hesitant fuzzy sets Hesitant fuzzy SWARA Interval type-2 fuzzy sets

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Propagation Characteristics of Magnetic Anomaly Signals in Different Medium

Propagation Characteristics of Magnetic Anomaly Signals in D...

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2023 IEEE International Conference on Applied Superconductivity and Electromagnetic Devices, ASEMD 2023

作者： He, Anran Zhang, Zhidan Yang, Aoyue Wang, Hai Kong, Xiangyan Ningbo China Ningbo University Faculty of Electrical Engineering and Computer Science Ningbo China

ISBN: (纸本)9798350301571

Marine weak magnetic survey is one of the important research directions at present. The typical signal of marine magnetic anomaly is low frequency, of which the magnetic field intensity is pT or even fT. In order to investigate the propagation characteristics of magnetic anomaly signals in the marine environment, the magnetic field variation of magnetic dipoles in different medium is verified by establishing a simulation model of magnetic dipoles. Then, we changed the distance of detection and frequency of the signal to verify the theory result in the MAXWELL. The simulation result indicated that the same source produces magnetic field intensity from hundreds fT to dozens pT at different distance in the marine medium. It proves that High Tc Superconducting QUantum Interference Devices (SQUIDs) meet the demand of marine magnetic anomaly detection. © 2023 IEEE.

关键词： marine magnetic anomaly simulation SQUID

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Portable Automatic System for Data Acquisition of Noise Pollution 2

Portable Automatic System for Data Acquisition of Noise Poll...

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2nd International Conference on Electronics and Renewable Systems, ICEARS 2023

作者： Ciufudean, Calin Buzduga, Corneliu Stefan Cel Mare University Faculty of Electrical Engineering and Computer Science Suceava Romania

ISBN: (纸本)9798350346640

Noise pollution, often referred to as forgotten pollution, has begun to be recognized as a problem for the environment and human health. This paper presents a new ultraportable system, AM-01, to perform data acquisition of noise pollution. The system is tested in various places from public institutions and companies to personal domicile. The AM-01 system is very useful for real time monitoring noise pollution on a map displayed a central dispatcher which monitories a large area considering its ease of handling, increased fidelity and outstanding mobility. Experimental results are shown as well as further development of the AM-01 system. © 2023 IEEE.

关键词： Data acquisition

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Speaker's gender classification and segmentation using spectral and cepstral feature averaging

Speaker's gender classification and segmentation using spect...

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2011 18th International Conference on Systems, Signals and Image Processing, IWSSIP 2011

作者： Kos, Marko Vlaj, Damjan Kačič, Zdravko Faculty of Electrical Engineering and Computer Science University of Maribor SI-2000 Maribor Slovenia

ISBN: (纸本)9789958996610

This paper presents speaker gender classification and segmentation. Such classification is frequently used in broadcast news domain. Because pitch is a feature that is difficult to calculate reliably in noisy environment, and because telephone speech is present in broadcast material, we focused on using general acoustic features for gender discrimination task. We also averaged the feature values to emphasize general speaker's properties to discard short-time properties of speech production. Test show that Average Mel-Frequency Cepstral Coefficients (AMFCC) perform best. The AMFCC features are very convenient gender discriminator for automatic speech recognition system where MFCC features are used, as they perform better than classic MFCC features and only one additional calculation step is needed. © 2011 Univ of Sarajevo.

关键词： Continuous speech recognition

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Source redundancy management and host intrusion detection in wireless sensor networks

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Recent Advances in computer science and Communications 2021年第1期14卷 43-47页

作者： Singh, Vijander Sharma, Gourav Poonia, Ramesh C. Trivedi, Narendra K. Raja, Linesh Department of Computer Science & Engineering Manipal University Jaipur India Amity Institute of Information Technology Amity University Jaipur Rajasthan India Department of Computer Applications Faculty of Science Manipal University Jaipur Rajasthan India

Background: Intrusion Detection System (IDS) is a Software application which gives the facility to monitor the traffic of network, event or activities on network and finds out any malicious operation if present. Objective: In this paper, a new protocol was developed that can detect the Wireless Network Attack based on the reference of TCP/IP Model. In the proposed system the new feature is integrated in the IDS which are built in the router itself. Methods: If any intruder tries to connect with router, intruder has to authenticate himself/herself. To find the authentication key the intruder attacks on the router to matches the authentication key with the key which he/she has. The intruder has a file with the multiple different keys in it and with that file intruder applies a brute-force attack on the router, the brute-force checks every key of the file by applying them on the router when a key matches with the authenticated key the brute-force software inform the intruder about the key matching. The IDS of the router will checks the rapid tries arriving from the same MAC address, if any MAC address tries the false key many of time than the IDS will identify the MAC as intruder and inform the system administrator about the intrusion by popping up a message on the system of the administrator. Results: Simulation of the two different scenarios is done by using the Network simulator (NS 2) and NAM (Network animator). In scenario 1 the node 1 is intruder and the IDS protocols have figure it out. The intruder is labeled as 2. In scenario 2 node 1 is the sentinel node and it gets connected to router after authentication. Conclusion: The mechanism can detect a false node in the network which is major threat in WSNs. Result has been evaluated the performance of IDS protocol by using Ad-hoc On Demand Distance Vector (AODV) Routing Protocol for routing. © 2021 Bentham science Publishers.

关键词： Intrusion detection

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Internet of Things: Security, privacy and trust considerations

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10th VLDB Workshop on Secure Data Management, SDM 2013

作者： Skarmeta, Antonio Moreno, M. Victoria Department of Information and Communications Engineering Computer Science Faculty University of Murcia Murcia Spain

Secure and reliable Internet of Things (IoT) presents the main challenges to face for sustainable and efficient IoT ecosystems based on privacy-aware systems. In this paper we present a concise description of such cha... 详细信息

ISBN: (纸本)9783319068107

关键词： Internet of things

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Adaptive accelerated routing between data centers based on the paired shifts data 5

Adaptive accelerated routing between data centers based on t...

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5th Mediterranean Conference on Embedded Computing, MECO 2016

作者： Koryachko, Vyacheslav Petrovich Perepelkin, Dmitry Alexandrovich Ivanchikova, Maria Alexandrovna Faculty of Computer Science Ryazan State Radio Engineering University RSREU Ryazan Russia

ISBN: (纸本)9781509022212

Virtualization of network infrastructure or its part by data centers (DC) provides flexible management of network topology and functions in real time. This method allows to get rid of the excess costs of expensive equipment and network service. Approaches to the development of engineering infrastructure of DC are changed followed the changes in the IT services model, the growth of computing power and increasing requirements for energy efficiency. In this work we propose adaptive accelerated routing (AAR) algorithm between DC based on the paired shifts data. © 2016 IEEE.

关键词： Energy efficiency

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