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Linux Server Operating system is widely used in electric power SCADA systems in China. In order to study the performance difference between different distribution Linux Server operating systems so that we can select an appropriate distribution to use, the paper compares four secure Linux server operating system's performance using lmbench benchmarking methodology. The experiments showed that lmbench...
In this paper, three different operational biases-A (accuracy emphasis), N (neutral) and F (speed emphasis) are investigated in the circular steering task for both younger and older user groups when interacting with computer interface. Experimental results show that operational biases have significant effect on human performance for both younger and older groups. The controllable range is wider for...
In the existing works, a Kalman filter with recursive covariance estimation (KF-RCE) was proposed by Bo Feng et al. to sequentially estimating process noise covariance matrix. However, there may be a singular matrix existed in the KF-RCE algorithm, which would lead to unreasonable system state estimation in the system initial stage. In this paper, a threshold-based Kalman filter with recursive covariance...
Today, the number of users of social network increases and a lot of users share opinions on different aspects of life every day. So the rate of colloquial written text increases dramatically as a medium of expressing ideas especially across the WWW. Therefore, social networks are rich sources of data for opinion mining and sentiment analysis. Arab colloquial dialects are languages that people used...
The new global economy has a great potential to shift economic power on a massive level resulting in a new and growing digital divide in the world. Over the past few decades, computers have transformed both the world and the workforce in many profound ways. As a result, computer science and associated technologies now lie at the heart of smart economies worldwide. Many reports around the world state...
System integrators for commercial aircraft reason about the subsystems they must integrate using Interface Control Documents (ICDs). Although ICD format standards exist in this specific domain, avionics suppliers express their ICDs in different ways, making the integrator's work challenging. As software engineering researchers, we are trying to define a common vocabulary for ICDs in the context of...
Inexpensive displays make large, tiled displays attractive for visual analysis and collaborative investigation. Especially in multi-user environments, the increased space allows to better organize the findings and results and, therefore, helps to improve collaboration. One important requirement is that all users can navigate seamlessly on the whole display space, while employing the standard software...
Laboratory education is very important and plays a vital role in science and engineering courses. The cost needed for the setting up of a good laboratory can be huge and expensive to institutes that are heavily resource constrained. The rapid development of information and communication technologies, on the other hand, has had a remarkable change in the education system. This paper provides a comprehensive...
Removing impulse noise in digital images is one of the major challenges in digital image processing. Pixels in digital images get corrupted during transmission due to impulse noise. In this paper, we propose a modified decision based median filter that removes impulse noise from gray images. For noise removal from digital images, different types of median filters are used: Standard Median Filter (MF),...
Social presence has two opposing effects on human corruption: the collaborative and contagious nature of another person's presence can cause people to behave in a more corrupt manner. In contrast, the monitoring nature of another person's presence can decrease corruption. We hypothesize that a robot's presence can provide the best of both worlds: Decreasing corruption by providing a monitoring presence,...
In the context of linear search, list accessing problem is a well known research problem. Unsorted linear list of distinct elements and a request sequence are the input to the list accessing problem where access operation is to be performed on each request on an element of the list. The main objective of list accessing algorithm is to minimize the access cost while processing a request sequence on...
Mild Cognitive Impairment (MCI) results in a noticeable decrease in cognitive abilities but does not interfere with regular daily functions. Some patients with MCI may be able to return to age-appropriate cognitive abilities, but some will progress to dementia. Clinical interviews, tests and measurements are used to identify and monitor cognitive decline. Timely detection of cognitive decline provides...
Efficient ways are needed to visualize the health status of a person and how the lifestyle, daily choices and health care actions are affecting it. Current systems lack a comprehensive interface for interaction and exploration of large and complex data and events affecting the data. Based on state-of-the-art data visualization techniques, we implemented and user tested a system that visualizes health...
With the assumption that the signals can be sparsified with a dictionary, many computational hard signal processing problems can be handled with sparsity based algorithms in practical now. The performance of these algorithms is highly related to the dictionary used, and the choice of the dictionary is vitally important to the success of these algorithms. Among these dictionaries, the one could bring...
Based on Indonesian standard in measuring bull sperm quality, motility is the most important parameter. Sperm motility can be measured manually by medical veterinarian or using Computer Aided Sperm Analysis (CASA) system. Measuring bull sperm motility manually is the most popular method nevertheless it is often subjective and high variability. CASA gives consistent results, hence it is an expensive...
This paper presents report on how to implement The Axis Rotation Fast Decoupled Load Flow (ARFDLF) method in the distribution systems. ARFDLF was effective to enhance the convergence of the Fast Decoupled Load Flow (FDLF) method when analyzing a power system with high R/X ratio and it is applied for distribution systems. Distribution systems have some features that challenge the application of FDLF...
Although there are many studies on large-scale unconstrained optimization (e.g., with 100 to 1000 variables) and small-scale constrained optimization (e.g., with 10 to 30 variables) using nature-inspired algorithms (e.g., evolutionary algorithms and swarm intelligence algorithms), no publicly available nature-inspired algorithm is developed for large-scale constrained optimization. In this paper,...
In this era of data explosion, big data research is gaining much importance. We have a collection of new technologies for data management in big data like NoSQL databases, (e.g. MongoDB, Cassandra), analytic tools (e.g. MapReduce, Hive) etc. These tools do not have a SQL query interface which users are very familiar with. So with Postgres 9.1 designers have been given an option of foreign data wrappers...
DNA cryptography is a new promising direction in cryptography research that emerged with the progress in DNA computing field. Traditional cryptographic systems have long legacy and are built on a strong mathematical and theoretical basis. So, an important perception needs to be developed that the DNA cryptography is not to negate the tradition, but to create a bridge between existing and new technology...
This paper addresses the filtering problem in large-dimensional systems, in which conventional particle filters (PFs) remain computationally prohibitive owing to the large number of particles needed to obtain reasonable performances. To overcome this drawback, a class of multiple particle filters (MPFs) has been recently introduced in which the state-space is split into low-dimensional subspaces,...
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