Reliable Security Strategy for Message-Oriented Middleware

2018 ◽  
Vol 10 (1) ◽  
pp. 12-23 ◽  
Author(s):  
Guangxuan Chen ◽  
Liping Ding ◽  
Guangxiao Chen ◽  
Panke Qin
Keyword(s):  
Load Transfer ◽  
Service System ◽  
Single Point ◽  
Single Server ◽  
Security Strategy ◽  
Processing Power ◽  
Message Oriented Middleware ◽  
Message Service ◽  
Bottle Neck ◽  
And Performance

This article explores a method to solve the security problems such as limited single-server processing power and single point of failure, and so on, a newly designed and developed Message-Oriented Middleware that supports clustering features. By improving the traditional reverse proxy cluster system, Message-Oriented Middleware has been made more applicable to message transmission services. A method of dynamic load balancing and load transfer was based on a variety of factors that was also designed according to the characteristics of a message service system. The method can solve problems like system instability and performance bottle-neck in Message-Oriented Middleware effectively and can increase the throughput of the system obviously.

scholarly journals An Experimental Analysis of Model Compression Techniques for Object Detection

2020 ◽  
Author(s):  
Andrey De Aguiar Salvi ◽  
Rodrigo Coelho Barros
Keyword(s):  
Object Detection ◽  
Experimental Analysis ◽  
State Of The Art ◽  
Neural Architecture ◽  
Model Compression ◽  
Processing Power ◽  
Benchmark Datasets ◽  
The Difference ◽  
And Performance ◽  
Consumption Constraints

Recent research on Convolutional Neural Networks focuses on how to create models with a reduced number of parameters and a smaller storage size while keeping the model’s ability to perform its task, allowing the use of the best CNN for automating tasks in limited devices, with reduced processing power, memory, or energy consumption constraints. There are many different approaches in the literature: removing parameters, reduction of the floating-point precision, creating smaller models that mimic larger models, neural architecture search (NAS), etc. With all those possibilities, it is challenging to say which approach provides a better trade-off between model reduction and performance, due to the difference between the approaches, their respective models, the benchmark datasets, or variations in training details. Therefore, this article contributes to the literature by comparing three state-of-the-art model compression approaches to reduce a well-known convolutional approach for object detection, namely YOLOv3. Our experimental analysis shows that it is possible to create a reduced version of YOLOv3 with 90% fewer parameters and still outperform the original model by pruning parameters. We also create models that require only 0.43% of the original model’s inference effort.

Chirp Spreading Spectrum in Imperfect Environment and Wireless Tree Topology Network

2021 ◽  
Author(s):  
Hongqiang Li ◽  
Dongyan Zhao ◽  
Xiaoke Tang ◽  
Jie Gan ◽  
Xu Zhao ◽  
...  
Keyword(s):  
Low Power ◽  
Rapid Development ◽  
Single Point ◽  
Multipath Fading ◽  
Tree Topology ◽  
Area Network ◽  
Wide Area Network ◽  
Target Node ◽  
Long Distance ◽  
And Performance

With the rapid development of IoT technology in recent years, higher requirements have been put forward for wireless communication technology. Low Power Wide Area Network (LPWAN) technology is emerging rapidly, the technology is characterized by low power consumption, low bandwidth, long-distance, and a large number of connections, and is specifically designed for Internet of Things applications. LoRa (Low Power Long Range Transceiver), as a typical representative of LPWAN technology, has been widely concerned and studied. This paper analyzes the performance of LoRa modulation in the tree topology network and analyzes the performance of LoRa modulation in the imperfect environment for point-to-point communication and multipoint-to-point communication. From theoretical analysis and performance simulation, it can be seen that the influence of frequency offset or multipath fading on LoRa signal is very obvious. However, when LoRa modulation is used for networking, multi-user interference will be introduced. Under the influence of many imperfect factors, the signal receiver performance of LoRa modulation will be difficult to guarantee. Because of these effects, Coordinated Multiple Points based on Timing Delay (DCoMP) is presented. Multiple nodes close to each other send the same data to the target node. Due to the inaccurate synchronization between nodes, there will be a certain relative delay when sending signals to the same target node. After the receiving node combines the signals of multiple nodes according to different relative delays, the reception performance of the signals can be improved. At the same time, the cooperative node can also actively adjust the signal sending time to improve the reception performance of the receiving node signal merging algorithm. LoRa modulation, by using DCoMP transmission, improves the reception of signals and thus the overall capacity of the system. Through the analysis of multipoint communication and single point communication, this paper is of great help to LoRa network deployment.

Mobile HCI

2014 ◽  
Vol 6 (1) ◽  
pp. 1-14 ◽  
Author(s):  
Robin Deegan
Keyword(s):  
Mobile Devices ◽  
Mobile Device ◽  
Location Based Services ◽  
Battery Life ◽  
Complex Environments ◽  
Processing Power ◽  
Communal Areas ◽  
And Performance ◽  
The Relationship ◽  
Mental Resources

Humans are approaching a new and intriguing time with regards to Mobile Human Computer Interaction. For years we have observed the processing power, memory capabilities and battery life of the mobile device increase exponentially. While at the same time mobile devices were converging with additional technologies such as increased connectivity, external peripherals, GPS and location based services etc. But what are the cognitive costs associated with these advancements? The software used on mobile devices is also becoming more sophisticated, demanding more from our limited mental resources. Furthermore, this complex software is being used in distracting environments such as in cars, busses, trains and noisy communal areas. These environments, themselves, have steadily become increasingly more complex and cognitively demanding. Increasingly complex software, installed on increasingly complex mobile devices, being used in increasing complex environments is presenting Mobile HCI with serious challenges. This paper presents a brief overview of five experiments before presenting a final experiment in detail. These experiments attempt to understand the relationship between cognition, distraction, usability and performance. The research determines that some distractions affect usability and not performance while others affect performance but not usability. This paper concludes with a reinforced argument for the development of a cognitive load aware system.

scholarly journals The Multiphase Queuing System of the Rijeka Airport

Pomorstvo ◽  
2019 ◽  
Vol 33 (2) ◽  
pp. 205-209
Author(s):  
Svjetlana Hess ◽  
Ana Grbčić
Keyword(s):  
Performance Indicators ◽  
Queueing Theory ◽  
Rare Case ◽  
Queueing System ◽  
Service System ◽  
Waiting Times ◽  
Real Problem ◽  
Single Server ◽  
Scientific Contribution ◽  
The Real

The paper gives an overview of the real system as a multiphase single server queuing problem, which is a rare case in papers dealing with the application of the queueing theory. The methodological and scientific contribution of this paper is primarily in setting up the model of the real problem applying the multiphase queueing theory. The research of service system at Rijeka Airport may allow the airport to be more competitive by increasing service quality. The existing performance measures have been evaluated in order to improve Rijeka Airport queueing system, as a record number of passengers is to be expected in the next few years. Performance indicators have pointed out how the system handles congestion. The research is also focused on defining potential bottlenecks and comparing the results with IATA guidelines in terms of maximum waiting times.

Precision Diagnosis of Electric Multiple Units for Performance Evaluation

2007 ◽  
Vol 353-358 ◽  
pp. 2585-2588 ◽  
Author(s):  
Jeong Guk Kim ◽  
Kyung Taek Park ◽  
Sung Cheol Yoon ◽  
Sung Tae Kwon
Keyword(s):  
Load Transfer ◽  
Three Dimensional ◽  
Engineering Analysis ◽  
Actual Performance ◽  
Analysis Techniques ◽  
Electrical Systems ◽  
Dimensional Measurements ◽  
Wear Evaluation ◽  
And Performance ◽  
Multiple Units

The precision diagnosis of subway electric multiple units (EMUs) was conducted with various types of engineering analysis techniques for the current performance and wear evaluation. The evaluation was conducted on detailed parts of EMUs, such as car bodies, bogies, braking systems, and electrical systems of EMUs. Several characterization means including nondestructive evaluation techniques, corrosion testing, and three-dimensional measurements, were employed for the evaluation of car bodies and bogies. For braking system, degradation and performance tests were conducted, while the functional and degradation tests were performed on electrical system in order to identify the actual performance of the system. Moreover, stress and structural analyses using commercial finite element method (FEM) software provided important information on stress distribution and load transfer mechanisms. In this investigation, various advanced engineering analysis techniques for the safety analysis of subway EMUs have been introduced and the analysis results have been used to provide the critical information for the criteria of safety assessment.

Principles of Optical Fibre Sensors and Instrumentation

1982 ◽  
Vol 15 (4) ◽  
pp. 143-151 ◽  
Author(s):  
A. L. Harmer
Keyword(s):  
Optical Fibre ◽  
Single Point ◽  
Time Varying ◽  
External Variable ◽  
Time Resolved ◽  
Optical Fibre Sensors ◽  
Optical Effects ◽  
Modulated Phase ◽  
And Performance ◽  
Phase Amplitude

An overview of optical fibre sensors and instrumentation is presented. Sensors can be divided into two types: continuous transducers in which light is modulated along the whole length of the fibre, and point transducers which are sensitive to an external variable at a single point. Optical effects in fibres are considered for the six types of physical perturbations: mechanical, electrical, magnetic, thermal, radiation and chemical perturbations. Instrumentation systems for fibre sensors may be categorised according to the way in which the light is modulated: Phase, amplitude, wavelength, polarisation, time-resolved or time varying modulation. These instrumentation schemes are compared for sensitivity and performance and numerous examples of practical sensors are cited for each category.

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