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The research aims to examine the influence of lecturers' competences towards student achievement motivation. By knowing the relationship lectures' competencies and performance motivation, researchers intend to provide feedback for Bina Nusantara University towards the development of lecturers' competencies and motivation. The competencies of the lecturers are the external factors that bolster students'...
This paper proposes an iterative soft-decision decoding algorithm for Reed-Solomon (RS) codes. The proposed decoding algorithm combines the concepts of adapting the parity-check matrix and informed dynamic scheduling decoding. The parity-check matrix is re-arranged before each iteration, where the systematic part is mapped to the least reliable bits, consequently reducing their influence on the other...
Maximal leakage from a random variable X to a random variable Y is defined as the multiplicative increase, upon observing Y, of the probability of correctly guessing a randomized function of X, maximized over all such functions [1]. Herein, this guessing framework is used to give operational definitions to common information leakage metrics, including Shannon capacity, maximal correlation, and local...
Image noise, textureless regions, and occlusions are still problems of stereo matching. We propose a novel method to address these problems. Firstly, initial disparity map and reliability map are obtained by stereo matching in the pixel level. In this stage, the proposed approach not only imposes the photo-consistency constraint, but also explicitly associates the geometric coherence to solve the...
To clarify where and when information is represented in the human brain, close investigation of brain activity at high spatiotemporal resolution is important. However, no current neuroimaging method is able to achieve such high spatiotemporal resolution. One attempt to extract necessary information from measured data under the limitation is combination of magnetoencephalography (MEG) source estimation...
Autonomous and semi-autonomous aerial systems (AES) as example of autonomous and semi-autonomous systems (AS) have to perform tasks in complex and dynamic environment, for example in logistics and transportation applications. In this context AS's behavior has to be verifyably safe. Traditionally, behavioral safety aspects are combined with mission-related tasks. The consequence of this combination...
We present a digital implementation of a correlation receiver for pulsed CDMA lidar signals in direct-time-of-flight systems. A coded time-of-flight lidar is capable to identify its own signals and to reject state-of-the-art uncoded or differently coded pulses. The required sampling rate of the system ADC is determined. For processing the digitized receive signal a correlation filter realized in FPGA...
Evaluating and scoring essay questions is an exhausting, time consuming process and require a lot of effort. So, applying automated tools is essentially required to tackle these drawbacks. In this study, we propose an automated scoring approach for short answers to Arabic essay questions. The scoring process is based on the similarity between the student's answer and model answer, cosine similarity...
Packet loss is a serious phenomenon in Vehicular Ad-hoc NETworks (VANETs). Although the multi-source and in-network caching characteristics of Named Data Networking (NDN) can help the consumer to retrieve named content, how to provide reliable named data transmission in vehicular environment is still a problem. To achieve the named data retransmission, previous works follow the traditional RTO algorithms...
The recent proliferation of mobile devices embedded with capable sensors, provides an opportunity to the popular concept of mobile crowdsensing. By studying the correlation of crowd-sensed data in both spatial and temporal dimensions, we can get a clear understanding of the intrinsic pattern of data in mobile crowdsensing, which is the basic for further data analysis, such as data filtering, smoothing...
Transmit antenna selection (TAS) schemes have been adopted in various communication systems to provide improved performance with relatively reduced complexity. The quality-of-service (QoS) in these systems depends on the availability of perfect channel state information (CSI). In practice, it is difficult to acquire perfect CSI, since it may get outdated due to feedback process. In this paper, we...
Three-dimensional (3-D) digital image correlation (DIC) has been gradually adopted by industry these years. This method utilizes a pair of cameras to accumulate and correlate images through tracking the movement of features on the specimen surface in real time. It is capable of generating both in-plane and out-of-plane deformation during one test. To some extent, it is perfect to be utilized in the...
Wireless technologies gain importance in various fields of industrial communication as they facilitate control and data acquisition tasks. In this context, Parallel Sequence Spread Spectrum (PSSS) is a promising new approach. The parametrization of a PSSS system is very flexible and thus can be precisely adapted to the application's requirements. Independent of the PSSS parametrization, the transmission...
This study was conducted to identify the relationship among some intrapersonal factors such as professional competency, interdisplinary ability, social skills capability, and team cohesion. The validated questionnaire was delivered to 296 students in the design programs of universities as research samples. Consequently, the SPSS 18.0 and AMOS statistic software were used to analyze the collected data...
Estimating the depth from two images with a baseline has a well-known regular problem: When a line is parallel to the epipolar geometry it is not possible to estimate the depth from pixels on this line. Moreover, the classic measure for the certainty of the depth estimate fails as well: The matching score between the template and any pixel on the epipolar line is perfect. This results for common scenes...
Object tracking is an important capability for robots tasked with interacting with humans and the environment, and it enables robots to manipulate objects. In object tracking, selecting samples to learn a robust and efficient appearance model is a challenging task. Model learning determines both the strategy and frequency of model updating, which concerns many details that can affect the tracking...
Deals with the problem of Russia's military-industrial complex economic influence assessment. The trends of the military-industrial complex changes under the new normal inducing its structural and conceptual transformation are identified. The military-industrial complex definition is brought up to date afterwards. The article lastly presents the results of the Russian military-industrial complex economic...
Crowdsourcing has established itself as a powerful tool to collect human input for data acquisition and labeling. Conventional laboratory experiments can now be addressed to a wider and diverse audience. This paper presents a study performed both in a laboratory and on a mobile-crowdsourcing platform, adopting a paired-comparison setup to obtain ratings of voice likability. We show considerations...
A well-done package enables a product to stand out from competitive brand packages and its form design is capable of creating the initial impression which generates associations regarding product images or consumers' responses to a product. This phenomenon is conspicuous in the packages of bottled products, such as perfume, beverage, shower gel and shampoo, bottled cosmetic and so forth. To create...
In order to adopt games for Software Engineering (SE) education effectively it is essential to obtain sound evidence on their quality. A prominent evaluation model is MEEGA (Model for the Evaluation of Educational Games), which provides a systematic support to evaluate the game's quality in terms of motivation, user experience and learning. To facilitate its application, the model provides a questionnaire...
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