scholarly journals Simulation of a Real-Time Bus Arrival Predictor using RFID and LabVIEW

2012 ◽  
pp. 207-211
Author(s):  
Aritra Paul ◽  
Nischit Bharadwaj ◽  
Jagriti R ◽  
Sameera S
Keyword(s):  
Real Time ◽  
The Public ◽  
Bus Network ◽  
Bus Stops ◽  
Concept Validation ◽  
Validation Stage

Most college and office goers in India use the public buses for daily commuting. The bus network caters to the need of thousands who find it an affordable means of transport. However, the absence of real-time updates in the system poses some very serious problems during the exit period. Large cohorts leave the workplace at one time, leading to over-crowding, chaos and accidents at local bus stops. To address this issue, we have designed an RFID based system that alerts the commuter at periodic intervals as his desired bus approaches the stop. This paper documents the preliminaries, concept validation stage, and the development of a scaled-down prototype. The objective is to notify commuters of the approach of their desired bus (on request) by SMS.

Design of Portable Electrocardiograph Monitoring System

2020 ◽  
Author(s):  
Jia Hua-Ping ◽  
Zhao Jun-Long ◽  
Liu Jun
Keyword(s):  
Real Time ◽  
Monitoring System ◽  
Data Storage ◽  
P Wave ◽  
Ecg Monitoring ◽  
The Public ◽  
Ecg Signals ◽  
Early Warning Mechanism ◽  
Timely Treatment ◽  
Ecg Data

Cardiovascular disease is one of the major diseases that threaten the human health. But the existing electrocardiograph (ECG) monitoring system has many limitations in practical application. In order to monitor ECG in real time, a portable ECG monitoring system based on the Android platform is developed to meet the needs of the public. The system uses BMD101 ECG chip to collect and process ECG signals in the Android system, where data storage and waveform display of ECG data can be realized. The Bluetooth HC-07 module is used for ECG data transmission. The abnormal ECG can be judged by P wave, QRS bandwidth, and RR interval. If abnormal ECG is found, an early warning mechanism will be activated to locate the user’s location in real time and send preset short messages, so that the user can get timely treatment, avoiding dangerous occurrence. The monitoring system is convenient and portable, which brings great convenie to the life of ordinary cardiovascular users.

scholarly journals The case for tracking misinformation the way we track disease

2021 ◽  
Vol 8 (1) ◽  
pp. 205395172110138
Author(s):  
Erika Bonnevie ◽  
Jennifer Sittig ◽  
Joe Smyser
Keyword(s):  
Public Health ◽  
Real Time ◽  
Supervised Machine Learning ◽  
Disease Spread ◽  
The Public ◽  
Monitoring Tools ◽  
Core Function ◽  
Public Health Organizations ◽  
Front Line Workers ◽  
Media Data

While public health organizations can detect disease spread, few can monitor and respond to real-time misinformation. Misinformation risks the public’s health, the credibility of institutions, and the safety of experts and front-line workers. Big Data, and specifically publicly available media data, can play a significant role in understanding and responding to misinformation. The Public Good Projects uses supervised machine learning to aggregate and code millions of conversations relating to vaccines and the COVID-19 pandemic broadly, in real-time. Public health researchers supervise this process daily, and provide insights to practitioners across a range of disciplines. Through this work, we have gleaned three lessons to address misinformation. (1) Sources of vaccine misinformation are known; there is a need to operationalize learnings and engage the pro-vaccination majority in debunking vaccine-related misinformation. (2) Existing systems can identify and track threats against health experts and institutions, which have been subject to unprecedented harassment. This supports their safety and helps prevent the further erosion of trust in public institutions. (3) Responses to misinformation should draw from cross-sector crisis management best practices and address coordination gaps. Real-time monitoring and addressing misinformation should be a core function of public health, and public health should be a core use case for data scientists developing monitoring tools. The tools to accomplish these tasks are available; it remains up to us to prioritize them.

scholarly journals The Necessity of Mobile Phone Technologies for Public Health Surveillance in Benin

2016 ◽  
Vol 2016 ◽  
pp. 1-7 ◽  
Author(s):  
Yaovi M. G. Hounmanou ◽  
Murielle S. S. Agonsanou ◽  
Victorien Dougnon ◽  
Mahougnon H. B. Vodougnon ◽  
Ephraim M. Achoh ◽  
...  
Keyword(s):  
Mobile Phone ◽  
Real Time ◽  
Smart Phone ◽  
Cross Sectional Study ◽  
Health Surveillance ◽  
Medical Professionals ◽  
Surveillance Systems ◽  
Cross Sectional ◽  
The Public ◽  
Phone Calls

A cross-sectional study was conducted in March 2016 to assess the need of mobile phone technologies for health surveillance and interventions in Benin. Questionnaires were administered to 130 individuals comprising 25 medical professionals, 33 veterinarians, and 72 respondents from the public. All respondents possess cell phones and 75%, 84%, and 100% of the public, medical professionals, and veterinarians, respectively, generally use them for medical purposes. 75% of respondents including 68% of medics, 84.8% of veterinarians, and 72.2% of the public acknowledged that the current surveillance systems are ineffective and do not capture and share real-time information. More than 92% of the all respondents confirmed that mobile phones have the potential to improve health surveillance in the country. All respondents reported adhering to a nascent project of mobile phone-based health surveillance and confirmed that there is no existing similar approach in the country. The most preferred methods by all respondents for effective implementation of such platform are phone calls (96.92%) followed by SMS (49.23%) and smart phone digital forms (41.53%). This study revealed urgent needs of mobile phone technologies for health surveillance and interventions in Benin for real-time surveillance and efficient disease prevention.

Utilizing the Public GenomeTrakr Database for Foodborne Pathogen Traceback v1

2021 ◽  
Author(s):  
Ruth E Timme ◽  
Maria Sanchez ◽  
Marc Allard
Keyword(s):  
Real Time ◽  
Foodborne Pathogens ◽  
Pathogen Detection ◽  
Foodborne Pathogen ◽  
Reference Database ◽  
Surveillance Program ◽  
Environmental Isolates ◽  
The Public ◽  
The World ◽  
The Usa

This protocol outlines the all the steps necessary to become a GenomeTrakr data contributor. GenomeTrakr is an international genomic reference database of mostly food and environmental isolates from foodborne pathogens. The data and analyses are housed at the National Center for Biotechnology Information (NCBI), which is a database freely available to anyone in the world. The Pathogen Detection browser at NCBI computes daily cluster results adding the newly submitted data to the existing phylogenetic clusters of closely related genomes. Contributors to this database can see how their new isolates are related to the real-time foodborne pathogen surveillance program established in the USA and a few other countries, and at the same time adding valuable new data to the reference database. ------ Although originally published as a Chapter in Methods and Protocols, Foodborne Bacterial Pathogens, the protocol has since been adapted and split into four separate protocols all of which are contained in this collection.

scholarly journals Abilities of the mCP Agar Method and CRENAME Alpha Toxin-Specific Real-Time PCR Assay To Detect Clostridium perfringens Spores in Drinking Water

2013 ◽  
Vol 79 (24) ◽  
pp. 7654-7661 ◽  
Author(s):  
Andrée F. Maheux ◽  
Ève Bérubé ◽  
Dominique K. Boudreau ◽  
Romain Villéger ◽  
Philippe Cantin ◽  
...  
Keyword(s):  
Drinking Water ◽  
Water Sample ◽  
Real Time ◽  
Clostridium Perfringens ◽  
Real Time Pcr ◽  
Potable Water ◽  
Alpha Toxin ◽  
Pcr Assay ◽  
Content Type ◽  
The Public

ABSTRACTWe first determined the analytical specificity and ubiquity (i.e., the ability to detect all or most strains) of aClostridium perfringens-specific real-time PCR (rtPCR) assay based on thecpagene (cpartPCR) by using a bacterial strain panel composed ofC. perfringensand non-C. perfringens Clostridiumstrains. All non-C. perfringens Clostridiumstrains tested negative, whereas allC. perfringensstrains tested positive with thecpartPCR, for an analytical specificity and ubiquity of 100%. ThecpartPCR assay was then used to confirm the identity of 116 putativeC. perfringensisolates recovered after filtration of water samples and culture on mCP agar. Colonies presenting discordant results between the phenotype on mCP agar andcpartPCR were identified by sequencing the 16S rRNA andcpagenes. Four mCP−/rtPCR+colonies were identified asC. perfringens, whereas 3 mCP+/rtPCR−colonies were identified as non-C. perfringens. ThecpartPCR was negative with all 51 non-C. perfringensstrains and positive with 64 of 65C. perfringensstrains. Finally, we compared mCP agar and a CRENAME (concentration andrecovery of microbial particles,extraction ofnucleicacids, andmolecularenrichment) procedure pluscpartPCR (CRENAME +cpartPCR) for their abilities to detectC. perfringensspores in drinking water. CRENAME +cpartPCR detected as few as oneC. perfringensCFU per 100 ml of drinking water sample in less than 5 h, whereas mCP agar took at least 25 h to deliver results. CRENAME +cpartPCR also allows the simultaneous and sensitive detection ofEscherichia coliandC. perfringensfrom the same potable water sample. In itself, it could be used to assess the public health risk posed by drinking water potentially contaminated with pathogens more resistant to disinfection.

scholarly journals Pengembangan Digital Motion Comic Berfokus pada Autentikasi Mitologi, Studi Kasus: “Ragnarok”

2020 ◽  
Vol 1 (2) ◽  
pp. 86-92
Author(s):  
Marcellinus Ferdinand Suciadi ◽  
Andre Andre ◽  
Levina Novelinda
Keyword(s):  
Verification And Validation ◽  
The Public ◽  
Survey Results ◽  
Norse Mythology ◽  
Original Story ◽  
Validation Stage

Abstract—Norse Mythology is a mythology that originated in the Scandinavian region, which is the basis of all mythologies in the area. At this time, people's knowledge of Norse mythology was only obtained from films, and the adaptation was not in accordance with the original mythology. Submission of stories remains inauthentic due to additional characters that are not present in the original story, thus affecting the authentication of the mythology being conveyed. To educate the public about Norse mythology, interesting media are needed but can also convey a message by not changing the specific elements of the mythology. The survey was conducted on 53 teen respondents and fans of the Marvel franchise. From the survey results, 88% of respondents had never used a motion comic application, but were interested in trying a motion comic application. Through the survey results, a motion comic with the theme of Norse Mythology was made to fulfill the stated goals. The results of the design will be implemented and have several options, including Starting Story, Journal, and Credit. Start Story will start the story from beginning to end, with a mini game in the middle. The journal is a collection of information about the Ragnarok War, and the Credit contains the names of those who intervened in making the Ragnarok motion comic. The making of this motion comic uses several programs. The verification and validation stage is carried out after the implementation has been completed. This application can help teens and adults to understand the mythological story of the Ragnarok War, based on the results of the validation that has been done. Keywords: motion comic, mythology, Norse, Ragnarok, war Abstrak—Mitologi Nordik merupakan mitologi yang berasal dari daerah Skandinavia, yang merupakan dasar dari segala mitologi yang berada pada daerah tersebut. Pada masa ini, pengetahuan masyarakat mengenai mitologi Nordik hanya didapat dari film, dan adaptasi tersebut tidak sesuai dengan mitologi aslinya. Penyampaian cerita tetap tidak autentik dikarenakan adanya karakter tambahan yang tidak ada dalam cerita aslinya, sehingga mempengaruhi autentikasi mitologi yang disampaikan. Untuk mengedukasi masyarakat mengenai mitologi Nordik, maka dibutuhkan media yang menarik namun juga dapat menyampaikan suatu pesan tersebut dengan tidak mengubah unsur khas dari mitologi tersebut. Survei dilakukan kepada 53 responden remaja dan fans dari franchise Marvel. Dari hasil survey, 88% responden belum pernah menggunakan aplikasi motion comic, namun tertarik untuk mencoba aplikasi motion comic. Melalui hasil survei tersebut, dibuatlah sebuah motion comic bertema Mitologi Nordik untuk memenuhi tujuan yang telah ditetapkan. Hasil desain akan diimplementasikan dan memiliki beberapa pilihan, diantaranya adalah Mulai Cerita, Jurnal, dan Kredit. Mulai Cerita akan memulai cerita dari awal hingga akhir, dengan mini game di tengah-tengah. Jurnal adalah kumpulan dari informasi mengenai Perang Ragnarok, dan Kredit berisi nama-nama pihak yang turut campur tangan dalam pembuatan motion comic Ragnarok. Pembuatan motion comic ini menggunakan beberapa program. Tahap verifikasi dan validasi dilakukan setelah implementasi telah selesai. Aplikasi ini dapat membantu remaja dan dewasa untuk memahami cerita mitologi Perang Ragnarok, berdasarkan hasil validasi yang telah dilakukan. Kata kunci: mitologi, motion comic, norse, perang, ragnarok  

scholarly journals Nolong.in: an android based incident notification application with push notification technology

2019 ◽  
Vol 9 (1) ◽  
pp. 485
Author(s):  
Arthur Bachtiar Gunawan ◽  
Seng Hansun ◽  
Marcel Bonar Kristanda
Keyword(s):  
Exact Solution ◽  
Real Time ◽  
Important Thing ◽  
The Public

<span lang="EN-GB">In driving, the most important thing to be considered is safety. The incident problem can happen anytime and anywhere without anyone knowing it before, especially in Cikarang where the level of incident is quite high. It is very important for the public community to act and respond quickly at the time on and around the occurring incident. Nolong.in application is an exact solution because it can send real time notifications to its users. This response is meant to assist individuals who have been using Nolong.in to help other users who need urgent help when the time of incident in order to prevent unwanted situations. In this research, push notification method has been implemented by using Firebase Cloud Messaging (FCM). The result of the research is the notification click ratio is 90.91% and the click time is 1 minute and 27 seconds. Based on the questionnaires’ results given to the community conclude that Nolong.in application is very beneficial for Gojek Cikarang community's safety.</span>

scholarly journals Quality of Bus Services Performance: Benefits of Real Time Passenger Information Systems

2013 ◽  
Vol 14 (2) ◽  
pp. 155-166 ◽  
Author(s):  
Andres Monzon ◽  
Sara Hernandez ◽  
Rocio Cascajo
Keyword(s):  
Real Time ◽  
Public Transport ◽  
Urban Areas ◽  
Travel Behaviour ◽  
Transport Systems ◽  
Sustainable Transport ◽  
The Public ◽  
Steady Growth ◽  
Bus Services

One of the main problems in urban areas is the steady growth in car ownership and traffic levels. Therefore, the challenge of sustainability is focused on a shift of the demand for mobility from cars to collective means of transport. For this purpose, buses are a key element of the public transport systems. In this respect Real Time Passenger Information (RTPI) systems help people change their travel behaviour towards more sustainable transport modes. This paper provides an assessment methodology which evaluates how RTPI systems improve the quality of bus services performance in two European cities, Madrid and Bremerhaven. In the case of Madrid, bus punctuality has increased by 3%. Regarding the travellers perception, Madrid raised its quality of service by 6% while Bremerhaven increased by 13%. On the other hand, the users´ perception of Public Transport (PT) image increased by 14%.

scholarly journals Detecting Damage Building Using Real-Time Crowdsourced Images And Transfer Learning

2021 ◽  
Author(s):  
Gaurav Chachra ◽  
Qingkai Kong ◽  
Jim Huang ◽  
Srujay Korlakunta ◽  
Jennifer Grannen ◽  
...  
Keyword(s):  
Social Media ◽  
Deep Learning ◽  
Real Time ◽  
Transfer Learning ◽  
Learning Model ◽  
Research Community ◽  
Rescue Work ◽  
The Public ◽  
Social Media Platforms ◽  
Deep Learning Model

Abstract After significant earthquakes, we can see images posted on social media platforms by individuals and media agencies owing to the mass usage of smartphones these days. These images can be utilized to provide information about the shaking damage in the earthquake region both to the public and research community, and potentially to guide rescue work. This paper presents an automated way to extract the damaged building images after earthquakes from social media platforms such as Twitter and thus identify the particular user posts containing such images. Using transfer learning and ~6500 manually labelled images, we trained a deep learning model to recognize images with damaged buildings in the scene. The trained model achieved good performance when tested on newly acquired images of earthquakes at different locations and ran in near real-time on Twitter feed after the 2020 M7.0 earthquake in Turkey. Furthermore, to better understand how the model makes decisions, we also implemented the Grad-CAM method to visualize the important locations on the images that facilitate the decision.

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