The quality of education in elementary schools must be well maintained so that the next generation of a nation with character is formed. One of the factors that greatly influences the quality of ...education in elementary schools is good leadership. The principal as the main leader in elementary schools has a very important role in managing the school and leading all members of the school. In the last few decades, transformational leadership theory has become one of the most influential leadership models in education. The transformational approach to leadership has long been considered a productive approach. Transpersonal leadership offers a more humanistic and values-centered approach to addressing the complex challenges faced by today's organizations and societies).
•The framework is a flexible generalization of the neural networks to point cloud.•ConvPoint is flexible and allows the design of various task oriented architectures.•It is competitive with state of ...the art for classification and semantic segmentation.•It is fast and memory allowing deployment to a large range of processing units.
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Point clouds are unstructured and unordered data, as opposed to images. Thus, most machine learning approach developed for image cannot be directly transferred to point clouds. In this paper, we propose a generalization of discrete convolutional neural networks (CNNs) in order to deal with point clouds by replacing discrete kernels by continuous ones. This formulation is simple, allows arbitrary point cloud sizes and can easily be used for designing neural networks similarly to 2D CNNs. We present experimental results with various architectures, highlighting the flexibility of the proposed approach. We obtain competitive results compared to the state-of-the-art on shape classification, part segmentation and semantic segmentation for large-scale point clouds.
Sungai Pusu is the river that passes through the IIUM Gombak campus. The river has been having a cloudy appearance for years hence it is needed to quantify the vital signs such as pH, temperature, ...and turbidity because these are the vital signs indicating the health of a river. Currently, there a lot of monitoring systems however the available monitoring systems do not support long-range communication and consume a lot of power. The data need to be transmitted at a long-range as it is being monitored remotely at a long distance. Therefore, a river pollution monitoring system must be developed to track the emergency vital signs (EVSs) of the river water The EVs include pH, temperature as well as turbidity. This project capitalizes on the long-range communication and low power consumption LoRaWAN system. The prototype monitoring station design can read the important EVSs of the river such as temperature, pH level, and turbidity. The sensors are connected to a microcontroller board. The readings of the EVSs are transmitted by the LoRa gateway which is forwarding the data to The Things Network Server. A graphical representation of the data is displayed on Ubidots. The results attained quantify the contribution of the IIUM populace to Sungai Pusu Pollution and raise awareness. It is also important to discuss the possibilities to the pollution of the river to see how one’s action could contribute to it. A statistical data of the results is as important so that an overall result can be deduced. Based on the results, the pH is decreased 1.32 pH, the temperature is increased by 2.29°C, and turbidity is decreased by 0.44 NTU throughout the monitoring period. In the future, six more monitoring stations will be added to accommodate KL River of Life (RoL) EVSs too.
•Early prediction for mammography.•Classification of mammograms using feature extracted using Hough transform.•Strategies for classification and feature extraction.•The classification accuracy is ...more by the use of SVM classifier.•Proposed method is effectively classify the abnormal classes of mammograms.
Breast cancer is one of the significant health problems in the world. If these abnormalities in breast cancer are detected early there is a maximum chance for recovery. For this early prediction we can go for mammography. It is one of the most effective and commonly used method for detecting and screening breast cancer. This paper presents classification of mammograms using feature extracted using Hough transform. Hough transform is a two dimensional transform. It is used to isolate feature of particular shape in an image. Miniaturized scale characterization and masses are the two most vital markers of threat, and their mechanized identification is exceptionally important for early breast cancer diagnosis. Since masses are regularly undefined from the encompassing parenchymal, computerized mass location and arrangement is significantly additionally difficult. This paper talks about the strategies for classification and feature extraction. Here, Hough transform is used to detect features of mammograms image and it is classified using SVM. The classification accuracy is more by the use of SVM classifier. This method is tested on 95 mammograms images collected and classified using SVM. From the result it shows that the proposed method is effectively classify the abnormal classes of mammograms.
Abstract
With the development of artificial intelligence, facial expression recognition based on deep learning has become a current research hotspot. The article analyzes and improves the VGG16 ...network. First, the three fully connected layers of the original network are changed to two convolutional layers and one fully connected layer, which reduces the complexity of the network; Then change the maximum pooling in the network to local-based adaptive pooling to help the network select feature information that is more conducive to facial expression recognition, so that the network can be used on the facial expression datasets RAF-DB and SFEW. The recognition rate increased by 4.7% and 7% respectively.
Email etiquette is an important skill, especially in professional settings. Research demonstrates that undergraduate students follow email rules when given written instructions plus an example. The ...purpose of the present study was to evaluate the effects of computer-based email instruction on undergraduate students' email etiquette and to assess the social validity of that instruction. The email instruction package was delivered through an online learning management system and consisted of written instructions plus a model, a quiz, and quiz feedback. We measured email etiquette by scoring emails from course assignments using a checklist. The instruction package produced a replicated increase in mean email checklist scores across two sections of introductory psychology, and checklist scores were elevated when participants sent emails in a novel context. The results of the social-validity assessments suggest that the goals were important, the procedures were acceptable, and there were meaningful improvements in email etiquette for some participants.
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