Evaluation of the Effectiveness of a Mass Emergency Notification System

SISTEM OTOMASI PENYIRAMAN TANAMAN BERBASIS TELEGRAM

SIGMA TEKNIKA ◽

10.33373/sigma.v2i1.1834 ◽

2019 ◽

Vol 2 (1) ◽

pp. 81

Author(s):

Muhammad Irsyam

Keyword(s):

Soil Moisture ◽

Plant Growth ◽

Water Intake ◽

Smart Phone ◽

Growth Failure ◽

Automation System ◽

Notification System ◽

Efficiency And Effectiveness ◽

Plant Automation

ABSTRAK Faktor yang menentukan kegagalan pertumbuhan suatu tanaman hampir dipengaruhi oleh teknik atau cara penyiraman tanaman yang salah. Hal ini disebabkan oleh teknik penyiraman yang dilakukan secara manual sehingga tidak semua tanaman mendapatkan asupan air yang merata untuk menghidari tanaman menjadi layu. Faktor lain yang menyebabkan kegagalan pertumbuhan tanaman adalah kelembaban tanah. Oleh karena itu, untuk mengurangi permasalahan tersebut dirancanglah “Sistem Otomasi Penyiraman Tanaman Berbasis Telegram”. Adapun sistem ini meliputi penyiraman tanaman secara otomatis berdasarkan kadar kelembaban tanah dengan sistem pemberitahuan atau notifikasi yang akan dikirimkan kepada petani dengan menggunakan aplikasi smart phone Telegram. Sistem ini telah mampu mengontrol penyiraman sesuai dengan kondisi yang diinginkan. Dengan adanya sistem otomasi penyiraman tanaman berbasis telegram maka dapat meningkatkan efesiensi dan efektivitas petani sehingga kualitas tanaman dapat terjaga dengan baik.Kata kunci -- Penyiraman Tanaman, Penyiraman Secara Otomatis, Telegram.ABSTRACT Factors that determine the failure of a plant's growth of almost are influenced by incorrect cropping techniques or methods. This is caused by the technique of watering is done manually so that not all plants get a uniform water intake to avoid crops withered. Another factor that causes plant growth failure is soil moisture. Therefore, to reduce the problem was designed "Telegram Based Water Planting Automation System". The system includes automatic watering of plants based on moisture level of the soil with a notification or notification system that will be sent to farmers using Telegram smart phone applications. This system has been able to control the watering according to the desired conditions. With the telegraph-based plant watering plant automation system can improve the efficiency and effectiveness of farmers so that the quality of the plant can be maintained properly. Keywords -- Watering Plants, Watering Automatically, Telegram.

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DetectSignal: A Cloud-Based Traffic Signal Notification System for the Blind and Visually Impaired

2020 IEEE International Smart Cities Conference (ISC2) ◽

10.1109/isc251055.2020.9239004 ◽

2020 ◽

Author(s):

Chikadibia Ihejimba ◽

Rym Z. Wenkstern

Keyword(s):

Visually Impaired ◽

Traffic Signal ◽

Notification System ◽

Blind And Visually Impaired

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Use of linked administrative and laboratory data to confirm that serum 25(OH)D levels in pregnant women can be predicted from satellite estimates of ultraviolet radiation

International Journal of Epidemiology ◽

10.1093/ije/dyaa165 ◽

2020 ◽

Author(s):

Kate M Miller ◽

Robyn M Lucas ◽

Elizabeth A Davis ◽

Prue H Hart ◽

Nicholas H de Klerk

Keyword(s):

Ultraviolet Radiation ◽

Health Outcomes ◽

Pregnant Women ◽

Economic Status ◽

Laboratory Data ◽

Sun Exposure ◽

Notification System ◽

Individual Level ◽

Hydroxyvitamin D ◽

Time Period

Abstract Background Serum 25 hydroxyvitamin D [25(OH)D] levels of pregnant women have been linked to various health outcomes in their offspring. Satellite-derived ultraviolet radiation (UVR) data have been used as a proxy for 25(OH)D levels, as individual-level cohort studies are time-consuming, costly and only feasible for common outcomes. Methods Data on 25(OH)D levels from a public laboratory database were linked to data from the Western Australian Midwives’ Notification System and daily erythemal UVR dose from NASA satellites. Regression analysis was used to identify the time period prior to venesection where daily UVR dose best predicted 25(OH)D levels. A predictive model was used to validate the use of daily UVR dose as a proxy for personal sun exposure during pregnancy. Results Data from 19 173 pregnancies in women aged 18–43 years in Western Australia were included. The daily UVR dose averaged over the 90 days before venesection was the strongest UVR predictor of 25(OH)D level (a 5% increase per 1000 J m–2; equal to 3.3 nmol L–1 at the median of 66 nmol L–1). Ethnicity was the strongest predictor of 25(OH)D levels (21% lower in non-Caucasian vs Caucasian: equal to 7.2 nmol L–1 difference). Other significant predictors were gestation, age, year, parity, socio-economic status, remoteness, medical conditions and season. Conclusion NASA-derived erythemal UVR dose in the 90 days prior to venesection is a significant predictor of 25(OH)D levels in pregnant women. Linked administrative data can be used to investigate associations between UVR during pregnancy and health outcomes in offspring.

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Emergency Manager Perceptions of the Effectiveness and Limitations of Mass Notification Systems: A Mixed Method Study

Journal of Homeland Security and Emergency Management ◽

10.1515/jhsem-2019-0070 ◽

2020 ◽

Vol 0 (0) ◽

Author(s):

William V. Pelfrey

Keyword(s):

Text Messaging ◽

Policy Implications ◽

Notification System ◽

Emergency Managers ◽

Emergency Manager ◽

Wide Variability ◽

Manager Perceptions ◽

Critical Resource ◽

Multi Method Approach ◽

Method Approach

AbstractDisasters can move quickly. Effective communication is a critical resource that can significantly enhance public safety. A mass notification system (MNS) uses text messaging to inform constituents of crisis, provide recommendations, connect to resources, and has the advantage of speed. Limited research has been conducted on the variables that influence the effectiveness, utilization, and perceptions of MNS. The extant study employs a multi-method approach to advance the scholarly knowledge on MNS. All emergency managers in a state were surveyed on issues of MNS enrollment, utilization, and brand. A subgroup of emergency managers were then interviewed to provide depth to the survey findings. Key findings indicate wide variability in MNS usage, little relationship between population size and enrollment, and a high perceived importance of MNS as a communication modality. Policy implications and recommendations are offered.

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Improved Mutual Understanding for Human-Robot Collaboration: Combining Human-Aware Motion Planning with Haptic Feedback Devices for Communicating Planned Trajectory

Sensors ◽

10.3390/s21113673 ◽

2021 ◽

Vol 21 (11) ◽

pp. 3673

Author(s):

Stefan Grushko ◽

Aleš Vysocký ◽

Petr Oščádal ◽

Michal Vocetka ◽

Petr Novák ◽

...

Keyword(s):

User Study ◽

Haptic Feedback ◽

Fundamental Aspect ◽

Task Completion ◽

Good Efficiency ◽

Notification System ◽

Movement Data ◽

Novel Approach ◽

Machine Interface ◽

High Degree

In a collaborative scenario, the communication between humans and robots is a fundamental aspect to achieve good efficiency and ergonomics in the task execution. A lot of research has been made related to enabling a robot system to understand and predict human behaviour, allowing the robot to adapt its motion to avoid collisions with human workers. Assuming the production task has a high degree of variability, the robot’s movements can be difficult to predict, leading to a feeling of anxiety in the worker when the robot changes its trajectory and approaches since the worker has no information about the planned movement of the robot. Additionally, without information about the robot’s movement, the human worker cannot effectively plan own activity without forcing the robot to constantly replan its movement. We propose a novel approach to communicating the robot’s intentions to a human worker. The improvement to the collaboration is presented by introducing haptic feedback devices, whose task is to notify the human worker about the currently planned robot’s trajectory and changes in its status. In order to verify the effectiveness of the developed human-machine interface in the conditions of a shared collaborative workspace, a user study was designed and conducted among 16 participants, whose objective was to accurately recognise the goal position of the robot during its movement. Data collected during the experiment included both objective and subjective parameters. Statistically significant results of the experiment indicated that all the participants could improve their task completion time by over 45% and generally were more subjectively satisfied when completing the task with equipped haptic feedback devices. The results also suggest the usefulness of the developed notification system since it improved users’ awareness about the motion plan of the robot.

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Effects of a commercially formulated glyphosate solutions at recommended concentrations on honeybee (Apis mellifera L.) behaviours

Scientific Reports ◽

10.1038/s41598-020-80445-4 ◽

2021 ◽

Vol 11 (1) ◽

Author(s):

Qi-Hua Luo ◽

Jing Gao ◽

Yi Guo ◽

Chang Liu ◽

Yu-Zhen Ma ◽

...

Keyword(s):

Apis Mellifera ◽

Theoretical Basis ◽

Chronic Toxicity ◽

Sublethal Effects ◽

Significant Decline ◽

Learning Ability ◽

Notification System ◽

Climbing Ability ◽

Behavioural Experiments ◽

Sucrose Responsiveness

AbstractGlyphosate, the active ingredient of the most widely used commercial herbicide formulation, is extensively used and produced in China. Previous studies have reported sublethal effects of glyphosate on honeybees. However, the effects of commercially formulated glyphosate (CFG) at the recommended concentration (RC) on the chronic toxicity of honeybees, especially on their behaviours, remain unknown. In this study, a series of behavioural experiments were conducted to investigate the effects of CFG on honeybees. The results showed that there was a significant decline in water responsiveness at 1/2 × , 1 × and 2 × the RC after 3 h of exposure to CFG for 11 days. The CFG significantly reduced sucrose responsiveness at 1/2 × and 1 × the RC. In addition, CFG significantly affected olfactory learning ability at 1/2 × , 1 × , and 2 × the RC and negatively affected memory ability at 1/2 × and 1 × the RC. The climbing ability of honeybees also significantly decreased at 1/2 × , 1 × and 2 × the RC. Our findings indicated that, after they were chronically exposed to CFG at the RC, honeybees exhibited behavioural changes. These results provide a theoretical basis for regulating field applications of CFG, which is necessary for establishing an early warning and notification system and for protecting honeybees.

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