PENGARUH PENERAPAN MEDIA PEMBELAJARAN INTERAKTIF BERBASIS QUIZIZZ MELALUI MODEL PBL TERHADAP HASIL BELAJAR SISWA MATERI SATUAN PANJANG KELAS 4 SDN DINOYO 3 MALANG

This research was carried out in the 2023/2024 academic year, Semester 2 in class 4 at SDN Dinoyo 3 Malang. This research aims to analyze whether or not there is an influence of Quizizz-based interactive learning media through the PBL model on student learning outcomes for class 4 long unit material at SDN Dinoyo 3 Malang. This research is quantitative research that is pre-Experimental Design. Data collection was carried out using prerequisite test methods, namely normality test, homogeneity test and linear test. The data collection process was carried out using 3 stages of pre test treatment post test. Pre test to determine the initial situation regarding students' understanding of long unit material in class 4 at SDN Dinoyo 3 Malang. Post test to find out the final results after being given treatment using the Quizizz learning media.. From the results of the research that has been carried out, it was found that there is a positive influence of quizizz-based learning media through the PBL model on student learning outcomes. This proves that by using quizizz students can easily understand the material provided by the teacher because quizizz has interactive features and attractive visuals, quizizz makes the learning process more lively and interesting for students. When carrying out the pre-test, students had an average score of 60 and when carrying out the post-test, students had an average score of 80. It was clear that there was an influence of quizizz-based interactive media through the PBL model on the learning outcomes of long unit material because it had a significant increase in scores. students have. This proves that the quizizz interactive media shows a significant influence in providing before and after treatment with the quizizz interactive media. With learning media, it will make the material or materials taught to students clearer and easier to understand, students who use this media will be able to quickly master the existing material, so it can be said that learning media can really provide benefits, especially to achieve the objectives of the teaching. implementation can be achieved

VoxCeleb2: Deep Speaker Recognition

The objective of this paper is speaker recognition under noisy and unconstrained conditions. We make two key contributions. First, we introduce a very large-scale audio-visual speaker recognition dataset collected from open-source media. Using a fully automated pipeline, we curate VoxCeleb2 which contains over a million utterances from over 6,000 speakers. This is several times larger than any publicly available speaker recognition dataset. Second, we develop and compare Convolutional Neural Network (CNN) models and training strategies that can effectively recognise identities from voice under various conditions. The models trained on the VoxCeleb2 dataset surpass the performance of previous works on a benchmark dataset by a significant margin.Comment: To appear in Interspeech 2018. The audio-visual dataset can be downloaded from http://www.robots.ox.ac.uk/~vgg/data/voxceleb2 . 1806.05622v2: minor fixes; 5 page

Disentangled Speech Embeddings using Cross-modal Self-supervision

The objective of this paper is to learn representations of speaker identity without access to manually annotated data. To do so, we develop a self-supervised learning objective that exploits the natural cross-modal synchrony between faces and audio in video. The key idea behind our approach is to tease apart--without annotation--the representations of linguistic content and speaker identity. We construct a two-stream architecture which: (1) shares low-level features common to both representations; and (2) provides a natural mechanism for explicitly disentangling these factors, offering the potential for greater generalisation to novel combinations of content and identity and ultimately producing speaker identity representations that are more robust. We train our method on a large-scale audio-visual dataset of talking heads `in the wild', and demonstrate its efficacy by evaluating the learned speaker representations for standard speaker recognition performance.Comment: ICASSP 2020. The first three authors contributed equally to this wor

Utilization of a novel digital measurement tool for quantitative assessment of upper extremity motor dexterity: a controlled pilot study.

BackgroundThe current methods of assessing motor function rely primarily on the clinician's judgment of the patient's physical examination and the patient's self-administered surveys. Recently, computerized handgrip tools have been designed as an objective method to quantify upper-extremity motor function. This pilot study explores the use of the MediSens handgrip as a potential clinical tool for objectively assessing the motor function of the hand.MethodsEleven patients with cervical spondylotic myelopathy (CSM) were followed for three months. Eighteen age-matched healthy participants were followed for two months. The neuromotor function and the patient-perceived motor function of these patients were assessed with the MediSens device and the Oswestry Disability Index respectively. The MediSens device utilized a target tracking test to investigate the neuromotor capacity of the participants. The mean absolute error (MAE) between the target curve and the curve tracing achieved by the participants was used as the assessment metric. The patients' adjusted MediSens MAE scores were then compared to the controls. The CSM patients were further classified as either "functional" or "nonfunctional" in order to validate the system's responsiveness. Finally, the correlation between the MediSens MAE score and the ODI score was investigated.ResultsThe control participants had lower MediSens MAE scores of 8.09%±1.60%, while the cervical spinal disorder patients had greater MediSens MAE scores of 11.24%±6.29%. Following surgery, the functional CSM patients had an average MediSens MAE score of 7.13%±1.60%, while the nonfunctional CSM patients had an average score of 12.41%±6.32%. The MediSens MAE and the ODI scores showed a statistically significant correlation (r=-0.341, p<1.14×10⁻⁵). A Bland-Altman plot was then used to validate the agreement between the two scores. Furthermore, the percentage improvement of the the two scores after receiving the surgical intervention showed a significant correlation (r=-0.723, p<0.04).ConclusionsThe MediSens handgrip device is capable of identifying patients with impaired motor function of the hand. The MediSens handgrip scores correlate with the ODI scores and may serve as an objective alternative for assessing motor function of the hand

Detection of Microaneurysm using Machine Learning Techniques

Diabetic Retinopathy (DR) is a human eye disease which affects people with diabetics. DR affects retina of the eye and leads to blindness when it moves on to severe level. The early signs of diabetic retinopathy can be detected by screening of fundus image which is an effective method to prevent eye diseases. Detecting the disease at an earlier stage can prevent the patient from vision loss. This work aims to explore automatic methods for diabetic retinopathy (Microaneurysm) detection and eventually develop a successful system for detection and classification of diabetic retinopathy. In this work the proposed system consists of pre-processing, segmentation, feature extraction and classification of lesions. The retinal fundus images are taken from DIAbetic RETinopathy Database-calibration Level-1 (DIARETDB1). In pre-processing, the background pixels of the images are eliminated, resized, unwanted noise in the images are removed using average filter and median filter and then contrast enhancement is done using adaptive histogram equalization algorithm. The blood vessels of the image are detected using morphological operation (erosion and dilation). In segmentation phase the images are partitioned using k-means clustering algorithm for efficient image analysis. Statistical analysis is used for extracting the feature of the fundus image. The fundus image can be then classified with the help of support vector machine (SVM) classifier. The experiment results specificity, sensitivity, F-measure and accuracy are calculated based on the parameter of the proposed system. Based on the experiment result the accuracy achieved by SVM classifier is 95%

From Benedict Cumberbatch to Sherlock Holmes: Character Identification in TV series without a Script

The goal of this paper is the automatic identification of characters in TV and feature film material. In contrast to standard approaches to this task, which rely on the weak supervision afforded by transcripts and subtitles, we propose a new method requiring only a cast list. This list is used to obtain images of actors from freely available sources on the web, providing a form of partial supervision for this task. In using images of actors to recognize characters, we make the following three contributions: (i) We demonstrate that an automated semi-supervised learning approach is able to adapt from the actor's face to the character's face, including the face context of the hair; (ii) By building voice models for every character, we provide a bridge between frontal faces (for which there is plenty of actor-level supervision) and profile (for which there is very little or none); and (iii) by combining face context and speaker identification, we are able to identify characters with partially occluded faces and extreme facial poses. Results are presented on the TV series 'Sherlock' and the feature film 'Casablanca'. We achieve the state-of-the-art on the Casablanca benchmark, surpassing previous methods that have used the stronger supervision available from transcripts

An Information Security Using DNA Cryptography along with AES Algorithm

Securing information is the most important need of not only the business world but also it’s highly essential in all the other major sectors. The secured data storage capacity along with security during data transit is also an important factor. In this paper DNA based security technique is proposed as an information carrier, the new data securing method can be adopted by harnessing the advantages of DNA based AES. This technique will provide multilayer security. The proposed system aims to secure transactional data during communication as it is required when message or data transfer between sender and receiver should be confidential along with integrity and availability.AS the data hiding needs a carrier to hold the data, therefore in order to enhance data security and make the data more confidential effective encryption algorithm is proposed using DNA cryptography. DNA molecules, holds an ability to store, process and transfer data, stimulates the notion of DNA cryptography. This amalgamation of the chemical features of genetic DNA structures along with cryptography confirms the non-vulnerable communication. The current features with reference to DNA cryptography are reviewed and presented here

Android Based Department App ? Using Smart Phone

In the prior system, all the information has to view in a hard file, or in website. At the same time while searching any information it is too complicated to access and takes a lot of time to search the particular website. Hence in order to overcome this problem a Smartphone based application using Android can be used to make this process easier, secure and less error prone. Android is an open source Linux based system developed by Google, and imprimis aimed at mobile handset and other portal devices. The proposed system is an Android application to manage student details on mobile and keeping them updated about latest reports in college department. The application will be used by students, lecturer and H.O.D. Using this application utilities provided by the student details assignments, timetables of examinations, result and attendance, notices and the department details. This app will introduce a new environment among students, lecturers, ad department in a college that can be dried up and be used to improve the learning process and ease the formal tasks needed to accomplish by a student. For H.O.D we will provide features to look overall the operations over the applications and have control on it