Controlling Android Based Smart Phone in Sindhi Rama Shahani; Asia Khatoon Soomro; Asadullah Burdi ...
University of Sindh journal of information and communication technology (Online),
05/2022, Letnik:
6, Številka:
2
Journal Article
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Due to its various domestic and industrial applications, Artificial Intelligence (AI) has given birth to many of the attractive speech recognition applications since previous decades. Various speech ...recognition systems are available, but the availability is rare other than the case except English language Although, speech recognition systems in many languages other than English are a rare occurrence for non-native English speakers who rely on speech to control a variety of devices or applications. The aim of this research is to create an android application, where “Sindhi Language” could be recognized and processed, and necessary actions are performed according to given commands through Android phones. The Android application has been designed to understand selected Sindhi words and sentences, spoken by the user. This system recognizes voices of people in an environment with moderate level of noise as well as without noise. The Android-based Sindhi speech recognition framework is implemented by using React Native technology. The technology aids in the development of applications by allowing them to be reloaded instantly and without the need to recompile them. Native Sindhi speakers performed better than non-native Sindhi speakers in terms of accuracy. Users who speak Sindhi will benefit from this Android application, which makes it easier to use smartphones using local language rather than having to speak English.
Balochi Speech Recognition using Android Based Smart Phone Abida Shar; Asia Khatoon Soomro; Hira Fatima Naqvi ...
University of Sindh journal of information and communication technology (Online),
04/2022, Letnik:
5, Številka:
4
Journal Article
Recenzirano
Odprti dostop
The latest era of computers is called the Artificial Intelligence where multiple intelligent machines are working to ease the life of a common people. Interacting with machines via human language is ...one of the hot areas called Natural Language Processing (NLP). The various language speech recognition systems are already built and there is a need to build the speech recognition system for languages which are lacking in various computing resources. Balochi language is one of the Pakistani languages which lacks computing resources such as automatic speech recognition system. This paper presents the Balochi Speech Recognition system in which the Android mobile phone is controlled by speaking Balochi words. The Balochi speech recognition system calls or opens the various installed applications when the user speaks in Balochi language. For the sampling purpose a total of 230 subjects were selected to record the samples of 2300 words. These words have been recorded in various environments including silent and noisy environment. The android platform-based Balochi speech recognition system has been designed which takes input from Balochi speakers in Balochi language and performs some activities based on the proposed model. The Android application is designed to understand Balochi words. The system has been build using React Native technology. The Balochi speech recognition system has been tested for various Balochi words and produced an average accuracy of 89% and 81% for native and non-native speakers of Balochi language. The system is capable to be extended in various directions and to be applied in multiple area-based applications. Users who speak Balochi language will benefit from this Android application, which makes it easier to use smartphones using local language rather than having to speak English.
Indoor thermal comfort has been the subject of several studies in the last years, aiming to create a satisfying work environment for the occupants inside a building. However, thermal comfort is ...strongly related to the occupants. Accordingly, it is necessary to take into consideration the user’s thermal preferences when adjusting the thermal conditions in buildings. This work aims to develop an innovative and smart solution, based on BIM, IoT, Machine Learning, and the user experience, to build a thermal comfort model.
A BIM model was designed to ingest data streams from the IoT devices together with the user’s thermal preferences specified via a mobile application. The study area was divided into a three-dimensional grid where, for each voxel, the Predicted Mean Vote (PMV) was calculated. The occupant indicates his thermal sensation, noted as Personal Vote (PV), associated with his profile and his position. These measures were used to train a logistic regression model to find the correlation between the PMV and PV. Ultimately, an LSTM Deep Learning model was trained to forecast the optimal temperature of the study area in the next working hours. The results were visualized both on the mobile application and in the BIM environment.
The increase in people's consumption patterns in the Kalirejo area, Central Lampung has an impact on increasing the volume of waste. The Sidodadi Trash Bank is an alternative in the context of waste ...management at the community level. Sidodadi Trash Bank in its management requires recording activities and rankings for all its members which are calculated every year with the aim of providing rewards for the best members. Recording and ranking activities are still done manually, therefore a Decision Support System (SPK)-based application is presented to facilitate the activities of the Sidodadi Trash Bank. This application can be used for administrators and also all members of the Sidodadi Trash Bank. This application was created using visual studio software and Simple Additive Weighting (SAW) method. The results of the calculation of the SAW method on the data of five members manually proved to be the same as the results of the system calculations, namely 0,99, which was won by Novita Sari. Testing Device was carried out on Android versions 7.1.1 Nougat, 7.1.2 Nougat, 8.0.0 Oreo, 8.1 Oreo, and 9.0.0 Pie and all worked. From the test results, it is found that the application runs well at least on the Android 5.0 Lollipop version.
Perkembangan dunia fashion remaja selalu mengalami peningkatan dengan hadirnya berbagai jenis produk-produk baru yang selalu menarik dan inovatif. Berkembangnya fashion remaja saat ini seiring dengan ...bertambahnya permintaan dari konsumen. Pada proses bisnis distro ini, ternyata para pelaku bisnis distro ini menjalankan bisnisnya secara manual tanpa memanfaatkan perkembangan teknologi saat ini, sehingga mereka masih kesusahan dalam melakukan pencatatan transaksi, manajemen produk, dll. Berdasarkan permasalahan tersebut, maka perlu untuk membuat aplikasi Point of Sales untuk mempermudah pegawai distro dalam pekerjaannya. Metode penelitian yang digunakan pada penelitian ini adalah classic life cycle dan untuk pengumpulan data yaitu dengan melakukan wawancara, observasi dan dokumentasi pada distro yang dijadikan tempat penelitian. Berdasarkan hasil dari pengumpulan data, maka dibuatlah rancangan sistem, rancangan database dan rancangan antarmuka. Rancangan tersebut kemudian dituangkan kedalam coding untuk membuat aplikasi dengan menggunakan framework react native dan setelah aplikasi selesai dibuat, maka dilakukan pengujian terhadap aplikasi tersebut dengan metode black box testing. Hasil dari pengujian yang telah dilakukan sudah sesuai dengan yang diharapkan sehingga aplikasi Point of Sales ini berhasil dibuat dan sudah disesuaikan dengan kebutuhan pihak distro.
Cross-platform mobile app development frame-works allow developers to use a single codebase to develop apps targeting different platforms. As these frame-works provide distinct features and may ...impact the apps' quality, their selection must be done with care. Although many works evaluated mobile frame-works, there is no synthesis on these studies. In this paper, we present a Systematic Literature Review (SLR) on approaches that evaluated cross- platform frame-works. Our SLR covers 75 papers and provides insights on 1) the most studied frame-works, 2) the criteria used for evaluation, 3) the evaluation methods used and 4) the results of these evaluations. The SLR shows that prior works generally used a prototype app to evaluate the frame-works but none explored the impact of the frame-works on the app's code quality. Thus, we carried out a preliminary empirical study on 3,566 mobile apps to evaluate the impact of mobile frame-works on the number of bugs and code smells in apps. The results of the study on native Android and React Native indicate that the latter has fewer code smells than native Android apps. Native Android apps generally had worse quality considering the number of bugs and code smells.
Jumantik officers are government officials who have the duty to check the presence of aedes aegpyti mosquito larvae in the community. The purpose of this research is to help Jumantik officers and ...village officials to carry out the process of checking mosquito larvae. This application is can be used to assist officers in creating reports for the inspection of mosquito larvae, helping officers to report the problematic addresses and scheduling for inspection of mosquito larvae. This application was developed using the React Native framework and Javascript programming language. The results of this study are useful applications as a substitute for reporting the presence of conventional mosquito larvae.
Civil and geotechnical engineers benefit greatly from an image-processing tool that is field-deployable. This study will discuss the development process of creating an image processing application ...that can find the most prominent colors in an object and display the results in both RGB and Munsell Color System. The application is built with React Native as its frontend, Python as its backend, and Flask for integration. The application uses a Median Cut color quantization algorithm to find the most prominent color and uses a Munsell Renotation Inversion algorithm to convert to the Munsell Color System. Using the Munsell Soil Color Chart and soil samples from the field, the application's image processing components are tested to have great accuracy. In the future, the applications' functionalities should be expanded and the potential usage of the phone's flashlight as a controllable external lighting should be explored.
The paper introduces the implementation of NCSLab in mobile APP with framework of React-Native. Networked Control System Laboratory (NCSLab) is one of the remote laboratories, which has existed for ...more than 10 years since it was been created in 2006 in the UK. However, there has not a mobile App served for NCSLab turned up yet, which can make great convenience for students to experiment. With the promotion of React-Native, this paper finally applies this framework to realize the mobile App served for NCSLab. This mobile app can bring great convenience to users' experiments. Users no longer need to experiment on the computer, remove the space constraints. Experiments can be conducted anytime and anywhere, which increases the frequency of experimenting.
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