the number of motorbike theft case in Indonesia has increasing rapidly. this phenomenon led to the increasing of the criminal number especially motorbike theft case. Nowadays, the use of CCTV (Closed Circuit Televisio...
the number of motorbike theft case in Indonesia has increasing rapidly. this phenomenon led to the increasing of the criminal number especially motorbike theft case. Nowadays, the use of CCTV (Closed Circuit Television) camera has been widely applied. Nevertheless, CCTV does not has the ability to prevent criminal acts such motorbike theft case. therefore, there is a need of a technology based to prevent motorbike theft acts. this research proposed an initial research of motorbike theft detection system that focused on the process of motorbike detection using Deep Learning approach. In this research, the YOLO architecture was utilized to detect the motorbike object inside an image frame. there are two testing scenarios for motorbike detection process, using trained model, and using pre-trained model. the trained model obtain better result rather than using pre-trained model by achieving 0.93 of its accuracy that proven the YOLO v8 model are working well especially when it is applied with transfer learning process for its based model.
Withthe development of computer software and hardware technology in colleges and universities, the application of multimedia computers has become increasingly widespread. graphics and image processing occupy a major ...
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Time perception which plays an important role in daily life, is a critical concept affecting a wide range of disciplines. Time perception is crucial in bothcomputer science and cognitive psychology as it informs the ...
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ISBN:
(数字)9798350365887
ISBN:
(纸本)9798350365894
Time perception which plays an important role in daily life, is a critical concept affecting a wide range of disciplines. Time perception is crucial in bothcomputer science and cognitive psychology as it informs the design of human-centered systems and technologies, while also deepening our understanding of cognitive processes and individual differences in how humans experience and process time. Cognitive architectures that model human cognitive functions provide valuable insights into the mechanisms underlying time perception. It is assumed that cognitive architectures are effective in explaining the cognitive processes involved in perceiving and interpreting time. In this study, the data obtained by applying a designed time perception experiment to human participants and a cognitive architecture were classified with machine learning algorithms which are K-Nearest Neighbor, Naive Bayes, Decision Tree, Support Vector Machine, Random Forest. According to the classification results, the Random Forest classifier was the most successful algorithm to classify the Human and Model classes with an accuracy rate of 82.06%.
Playing has important psychosocial and emotional benefits for older adults. the COVID-19 pandemic has accelerated the interest in incorporating digital interactions and virtual reality (VR) technologies into healthcar...
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Exploring the challenges raised by the brain-computer interface (BCI) multidisciplinary field, this paper provides a real-time LabVIEW application for controlling a six degrees robotic arm using the NI myRIO developme...
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ISBN:
(纸本)9781665440004
Exploring the challenges raised by the brain-computer interface (BCI) multidisciplinary field, this paper provides a real-time LabVIEW application for controlling a six degrees robotic arm using the NI myRIO development board and the NeuroSky Mindwave Mobile portable headset. By detecting and numbering the consecutive, voluntary eye-blinks, the necessary commands accomplished two different approaches of controlling the robotic arm. the proposed solution encompasses a completely functional BCI experimental prototype based on a simple working principle, straightforward control mode, real-time running, friendly graphical user interface, and effective communication between hardware and software-enabled by LabVIEW graphical programming environment. An additional feature of the proposed brain-computer interface system is the mobile robot underlying the robotic arm so that people with neuromotor disabilities can benefit from a versatile assistive biomechatronic device.
the electroencephalogram, a type of non-invasive-based brain signal that has a user intention-related feature using in brain-computer interface (BCI) provides an efficient bidirectional pathway between user and comput...
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ISBN:
(纸本)9781728184852
the electroencephalogram, a type of non-invasive-based brain signal that has a user intention-related feature using in brain-computer interface (BCI) provides an efficient bidirectional pathway between user and computer. In this work, we proposed a deep learning framework based on the corresponding frequency emphasize method to decode the motor imagery (MI) data from the 2020 international BCI competition dataset. the MI dataset consists of 3-class, namely 'Cylindrical', 'Spherical', and 'Lumbrical'. We utilized power spectral density as an emphasize method and a convolutional neural network to classify the modified MI data. the results showed that the MI-related frequency range was activated during the MI task, and provide neurophysiological evidence to designthe proposed method. When using the proposed method, the average classification performance in the intra-session condition was 69.68% and the average classification performance in the inter-session condition was 52.76%. Our results provided the possibility of developing a BCI-based device control system for practical applications.
the idea of using the current technologies to build more sustainable smart cities has gained great popularity. One of attractive fields is Internet of things applications to control vehicle traffic and parking which r...
the idea of using the current technologies to build more sustainable smart cities has gained great popularity. One of attractive fields is Internet of things applications to control vehicle traffic and parking which reduce energy consumption in smart cities. this paper presents an android mobile application system that allows users to check the availability and location of parking spots by using their smartphones. Main tools used for this project are the Arduino UNO and mobile application running with Android. Sensors were used to sense if the spot is empty, and then send that info to the mobile application. As the empty place is discovered to be vacant it is distinguished utilizing ultrasonic sensors which report it further. the system would not help the user to book parking spot but would show the availability of parking spot to reduce the searching time. this Smart Parking System is a basic prototype which can be improved later for real system by connecting the system to a GPS-based application which will direct the user to the spot itself and it can further be improved by using artificial intelligence to highlight different spots to different users.
作者:
Münker, SörenSchmitt, Robert H.
RWTH Aachen University Campus-Boulevard 30 Aachen52074 Germany
Steinbachstrasse 17 Aachen52074 Germany
Several studies in production engineering and operations research focused on disassembly and assembly planning for improving the profitability of remanufacturing. the representation of feasible (dis)assembly sequences...
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Pandemic hits the world catastrophically, leading to the disruption on our everyday life including how students learn in the pandemic era. Most of the students nowadays have difficulties preparing the way to face the ...
Pandemic hits the world catastrophically, leading to the disruption on our everyday life including how students learn in the pandemic era. Most of the students nowadays have difficulties preparing the way to face the world of work. this research proposes a serious game design to prepare university students for the world of work by combining the Six Facets of Serious Game design and Adam's Ernest Game design. Six Facets of Serious Game design is the design pattern for serious games (e.g., pedagogical games) [1]. Two systems (i.e. the serious game and the baseline system) were designed, deployed and evaluated to evaluate the effectiveness of the proposed serious game design. the serious game design was built on an Android mobile phone. Moreover, a simple simulation that has identical scenarios withthe serious game was also built as the baseline in the evaluation process. thirty-seven respondents who will be or have been entering the workplace for their first time participated in the evaluation process. A Wilcoxon rank test was applied to the data as the data does not come from a normal distribution. the results show that the proposed serious game design provides more effective results than the baseline. the user experiences' score provided by the serious game design system is statistically higher than the baseline system. Moreover, the serious game system increases the learners' motivation compared to the baseline system.
Domestic waste, resulting from human daily activities, can pollute the environment if not properly managed. the necessity for human-occupied structures to have wastewater treatment plants (WWTPs) to process this waste...
Domestic waste, resulting from human daily activities, can pollute the environment if not properly managed. the necessity for human-occupied structures to have wastewater treatment plants (WWTPs) to process this waste becomes evident. this study adopts an experimental approach, designing conventional WWTPs equipped with waste treatment procedures. through sampling methods and laboratory analysis, this research aims to measure the quality of domestic waste before and after treatment. Results indicate a significant improvement in water quality following the treatment process, meeting the established water quality standards. these findings provide valuable insights into the effectiveness of domestic waste treatment and offer guidelines for communities to adopt better waste management practices, ensuring environmental protection.
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