Design of early Warning System of Agricultural Products in the Data Warehouse

2011 ◽  
Vol 217-218 ◽  
pp. 656-661
Author(s):  
Li Juan Zhou ◽  
Kang Li ◽  
Xiao Xu He
Keyword(s):  
Early Warning ◽  
Agricultural Production ◽  
Early Warning System ◽  
Agricultural Sector ◽  
Supply And Demand ◽  
Warning System ◽  
Weather Conditions ◽  
System Structure ◽  
Government Control ◽  
The Government

As Chinese socialist market economy gradually has been improved, there is a lag in the agricultural production.It is a very possible research for the agricultural sector to make agricultural production policies to develop appropriate based on the government control means, consumer behavior, agricultural supply and demand balance, the outside weather conditions and other factors. In this paper, we proposed agricultural early warning system structure and function modules. It is based on the external conditions for agricultural production, agricultural consumer groups, consumer habits, especially focusing on the production and analysis module, analysis module prices and consumer modules.

The Utility Model of Early Warning System for Train Operation

2013 ◽  
Vol 325-326 ◽  
pp. 1249-1252
Author(s):  
Shi Yi
Keyword(s):  
Early Warning ◽  
Early Warning System ◽  
Warning System ◽  
Weather Conditions ◽  
Vibration Sensor ◽  
Utility Model ◽  
Photoelectric Detection ◽  
Train Operation

The utility model of early warning system for train operation detects and analysis all the information from the weather detection, photoelectric detection, vibration sensor and signal of the tracks comprehensively. It determines the position of the train by the weighted coefficients and controls the interval signal and locomotive signal accurately. This system should be barely affected by the weather conditions, the results detected by this system are reliable, and it can ensure the train operates safely.

scholarly journals Evaluasi Penerapan Sistem Peringatan Dini Bencana Longsor di Kampung Jatiradio, Desa Cililin, Kecamatan Cililin, Kabupaten Bandung Barat

2020 ◽  
Vol 4 (1) ◽  
pp. 9-18
Author(s):  
Nana Sudiana
Keyword(s):  
Early Warning ◽  
Early Warning System ◽  
Disease Outbreaks ◽  
Warning System ◽  
National Standard ◽  
Industrial Accidents ◽  
Soil Movement ◽  
Analysis And Evaluation ◽  
Landslide Early Warning ◽  
The Government

Indonesian territory is a disaster-prone region. There are at least 12 disaster threats that are grouped in geological disasters (earthquakes, tsunamis, volcanoes, landslides), hydrometeorological disasters (floods, flash floods, droughts, extreme weather, extreme waves, forest and land fires), and anthropogenic disasters (epidemics of disease outbreaks and failed technology-industrial accidents). Landslides or land movements in Indonesia in recent years have increased in intensity and frequency. One of the efforts to reduce the risk of landslides that has been carried out by the Disaster Risk Reduction Technology Center-BPPT is to build an Landslide Early Warning System in Jatiradio Village, Cililin District, West Bandung Regency. In order to uniform the implementation of an early warning system for landslides or land movements in disaster prone areas, the government has established a national standard namely SNI 8235: 2017 on the Early Warning System for Land Movements. The purpose of this study is to evaluate the compliance between the Landslide Early Warning System that has been developed by PTRRB-BPPT with the Indonesian National Standard for the Land Movement Early Warning System (SNI 8235: 2017). Based on the results of data analysis and evaluation, it can be concluded that the implementation of the landslide early warning system in Jatiradio Village, Cililin Village, Cililin District, West Bandung Regency is in accordance with the Indonesian National Standard (SNI 8235: 2017) concerning the Soil Movement Early Warning System.

scholarly journals Accelerating information of tsunami disaster using early warning system (EWS) Devices: smart solution for communication, navigation and surveillance due to tidal sea level

2021 ◽  
Vol 331 ◽  
pp. 07008
Author(s):  
Nurhadi Santosa ◽  
Nadjadji Anwar ◽  
Bangun Muljo Sukojo ◽  
Wesam Al Madhoun
Keyword(s):  
Sea Level ◽  
Early Warning ◽  
Early Warning System ◽  
Warning System ◽  
The Public ◽  
New Device ◽  
Tsunami Disaster ◽  
Tsunami Risk ◽  
The Government ◽  
Community Sector

Oneof the important aspects in reducing Tsunami Risk is understanding Natural Hazards. The loss of INA TEWS equipment worth hundreds of billions of rupiah and the occurrence of the Tsunami in Aceh and other parts of Indonesia are warnings that our society needs the help of effective early warning tools at affordable prices. Using this device will make it easier for the community to monitor natural events from the field and reduce disaster risk. Currently the government has purchased hundreds of units of JRC-UNESCO products, namely IDSL (Inexpensive Device for Sea Level), but this device takes 21 minutes of information to reach the community. Therefore, a new device that has been prepared is needed. (FIDELA EARLY WARNING SYSTEM/FEWS) is a tool that involves the Equipment sector, Operations sector and Community sector. The results shows that this device is that the time for sending information to the public is only 5 minutes.

PENERAPAN ALGORITMA CLUSTERING DALAM MENGELOMPOKKAN BANYAKNYA DESA/KELURAHAN MENURUT UPAYA ANTISIPASI/ MITIGASI BENCANA ALAM MENURUT PROVINSI DENGAN K-MEANS

2018 ◽  
Vol 2 (1) ◽  
Author(s):  
Mhd Gading Sadewo ◽  
Agus Perdana Windarto ◽  
Anjar Wanto
Keyword(s):  
Natural Disaster ◽  
Early Warning ◽  
Early Warning System ◽  
Clustering Algorithm ◽  
Warning System ◽  
Volcanic Eruptions ◽  
Disaster Mitigation ◽  
Assessment Process ◽  
The Government ◽  
The Village

Natural disasters are natural events that have a large impact on the human population. Located on the Pacific Ring of Fire (an area with many tectonic activities), Indonesia must continue to face the risk of volcanic eruptions, earthquakes, floods, tsunamis. Application of Clustering Algorithm in Grouping the Number of Villages / Villages According to Anticipatory / Natural Disaster Mitigation Efforts by Province With K-Means. The source of this research data is collected based on documents that contain the number of villages / kelurahan according to natural disaster mitigation / mitigation efforts produced by the National Statistics Agency. The data used in this study is provincial data consisting of 34 provinces. There are 4 variables used, namely the Natural Disaster Early Warning System, Tsunami Early Warning System, Safety Equipment, Evacuation Line. The data will be processed by clustering in 3 clushter, namely clusther high level of anticipation / mitigation, clusters of moderate anticipation / mitigation levels and low anticipation / mitigation levels. The results obtained from the assessment process are based on the Village / Kelurahan index according to the Natural Disaster Anticipation / Mitigation Efforts with 3 provinces of high anticipation / mitigation levels, namely West Java, Central Java, East Java, 9 provinces of moderate anticipation / mitigation, and 22 other provinces including low anticipation / mitigation. This can be an input to the government, the provinces that are of greater concern to the Village / Village According to the Natural Health Disaster Mitigation / Mitigation Efforts based on the cluster that has been carried out.Keywords: Data Mining, Natural Disaster, Clustering, K-Means

Methodology to Develop the Early Warning System for Residual Value Risk of Public Private Partnership Projects

2014 ◽  
Vol 1065-1069 ◽  
pp. 2397-2400
Author(s):  
Tie Lan Teng ◽  
Qi Ming Li ◽  
Jing Feng Yuan
Keyword(s):  
Statistical Analysis ◽  
Early Warning ◽  
Questionnaire Survey ◽  
Early Warning System ◽  
Warning System ◽  
Main Function ◽  
Residual Value ◽  
Private Partnership ◽  
System Vulnerability ◽  
The Government

The Early Warning System (EWS) was developed in this research aiming to forecast and monitor the Residual Value Risk (RVR) in PPP projects. RVR is a structured risk system which would happen at any time in the whole life before transfer of PPP projects, but consequently causes the Residual Value (RV) that the Government takes over cannot fulfill the specifications. To establish the EWS of RVR, the factor system was identified through questionnaire survey and evaluated based on statistical analysis. Besides the RVR could be learned by CBR, so a great amount of history PPP projects which have been already transferred should be structured into a case base. Furthermore, the conception of System vulnerability was applied to open up the link between the RVR and the RV, and the proper method was selected to determine the early-warning threshold. The main function of the EWS is monitoring the RVR of current PPP projects and warning the potential RV threat or opportunity.

Sensor-Actuator-Based Network for an early-warning system in extreme weather conditions

2010 ◽  
Vol 43 (23) ◽  
pp. 7-12 ◽  
Author(s):  
Ulrike Hempel ◽  
Joerg Auge ◽  
Manfred Schütze ◽  
Christoph Engel
Keyword(s):  
Early Warning ◽  
Early Warning System ◽  
Warning System ◽  
Weather Conditions ◽  
Extreme Weather ◽  
Sensor Actuator

scholarly journals PELATIHAN ALAT PERINGATAN DINI MANDIRI BENCANA LONGSOR DAN BANJIR PADA KARANG TARUNA KELURAHAN SEMPUR KECAMATAN BOGOR TENGAH

2020 ◽  
Vol 2 (1) ◽  
pp. 23
Author(s):  
Anwar Mujadin ◽  
Octarina Nur Samijayani ◽  
Suci Rahmatia
Keyword(s):  
Public Service ◽  
Early Warning ◽  
Early Warning System ◽  
Training Session ◽  
Warning System ◽  
Residential Area ◽  
Disaster Mitigation ◽  
Service Program ◽  
Community Behavior ◽  
The Government

<p><strong>Abstrak</strong></p><p><em>Menurut Pusat Vulkanologi dan Mitigasi Bencana Geologi (PVMBG) menyebutkan kelurahan Sempur kecamatan Bogor Tengah ditetapkan sebagai kawasan rawan longsor dan Banjir. Kelurahan ini adalah pemukiman penduduk yang berlokasi di daerah tanah lembah bertebing serta di pinggir aliran sungai Ciliwung. Saat ini daerah potensi sering terjadi longsoran adalah daerah RW 05, 06 dan 07 atau berada tepat di area belakang Rumah Sakit Salak sampai Tugu Air Mancur (sempur kaler). Melalui program Prime Public Service 2019 UAI, telah dilakukan pelaksanaan program pemperdayaan masyarakat berbentuk pelatihan alat peringatan dini mandiri bencana longsor dan banjir kepada mitra karang taruna kelurahan Sempur kecamatan Bogor Tengah. Pelatihan dilaksanakan diruang serbaguna kelurahan Sempur, tiap hari minggu jam 13.00 WIB dengan 10 kali pertemuan (3-4) jam. Di setiap akhir sesi pelatihan mitra, kit praktek harus diuji coba dan diimplementasikan langsung pada titik lokasi rawan bencana.</em> <em>Hasil kegiatan telah berhasil merubah mindset mitra (remaja) agar bisa berfikir rasional akan keselamatan diri sendiri maupun orang lain terhadap bencana alam.</em> <em>Perilaku masyarakat pada daerah rawan bahaya mampu dikendalikan secara elektronik melalui alat peringatan dini elektronik buatan mitra setempat. Penyediaan alat peringatan dini dari pemerintah umumnya akan dirusak maupun dicuri. Namun bila alat peringatan dini elektronik buatan masyarakat sendiri, minimal akan dijaga dan dirawat terus.</em></p><p><strong>Kata Kunci: <em>Alat Pemindai Longsor, Pemindai Gempa, Pemindai Banjir</em></strong></p><p> </p><p><strong>Abstract</strong></p><p>According to Volcanology and Geological Disaster Mitigation (PVMBG) department, kelurahan Sempur kecamatan Bogor Tengah is designated as an area prone to landslides and floods. Kelurahan Sempur is a residential area located in a cleared valley and along the Ciliwung River. Potential areas for landslides often occur are RW 05, 06 and 07 located behind the Salak Hospital to Tugu Air Mancur. Through UAI Prime Public Service program 2019, has been carried out training program for early warning system landslides and floods devices to youth partners in Sempur. Training has been conducted in multipurpose room kelurahan Sempur office, every Sunday at 13.00 West Indonesia Time, with 10 meetings among 3-4 hours. Each training session, the practice kit must be tested and implemented directly at disaster-prone locations. Training has succeeded in changing the mindset of youth partners so that they can think rationally about the safety of themselves and others against disasters. Community behavior in hazard-prone areas can be controlled electronically through electronic early warning system devices made by youth partners. The Provision of early warning equipment from the government will generally be damaged or stolen. However, if the electronic early warning devices is made by the community itself, They will always be cared for and looked after.</p><p><strong>Keywords: <em>Lanslides Scanners, Earthquake Scanners, Flood Scanners</em></strong></p>

Project Design on the Monitoring and Early-Warning of Pork Market in Beijing Based on Multi-Source Data Integration

2014 ◽  
Vol 672-674 ◽  
pp. 1958-1963
Author(s):  
Fan Tao Kong ◽  
Shi Wei Xu ◽  
Ke Xu ◽  
Chen Shen
Keyword(s):  
Risk Factors ◽  
Early Warning ◽  
Early Warning System ◽  
Supply And Demand ◽  
Warning System ◽  
Indicator System ◽  
Influential Factors ◽  
Price Fluctuations ◽  
Source Data ◽  
Monitoring And Early Warning

The fluctuation of pork price has been the center of attention among residents in both suburban and urban Beijing. This study is based upon building a monitoring and early-warning system of pork market in Beijing, and is conducted through the following three aspects: (1) Study of the risk factors of the price fluctuations in Beijing pork market. The study will determine what the “risk factors” for the fluctuations are, through looking into the price fluctuations pattern within the past twenty years in Beijing’s pork market, as well as the influential factors for the pattern in both short term and long term. (2) Gathering multi-source data of pork supply and demand, and study of the integration technology. By gathering monitored data through multi-source collecting market, production and quarantine, the study gathers and organizes the collected data, and integrates the data into a collective multi-source data. (3) Building an early-warning model in the pork market in Beijing and visualized research. By using the early-warning theory method, the study builds an indicator system consisting of leading indicator, concurrent indicator and lagging indicator, and thus builds an early-warning system, calculates early-warning index, compares early-warning lines, determining an early-warning alarm, and realizing visualization through B/S structure as well as embedded development. The study intends to achieve three innovative goals: Revealing the price fluctuations pattern of the pork market in Beijing, and the risk factors in the market; building a real-time information monitoring place, and thus achieving the integration of multi-source data of the pork markets; building an early-warning indication system of Beijing’s pork market, and achieving the simulation as well as displaying of the early-warning index. This study has important meanings on guiding the pork production and consumption in Beijing.

scholarly journals Community Perception of Activation Sirine Tsunami in Banda Aceh and Aceh Besar

2019 ◽  
Vol 6 (4) ◽  
pp. 282
Author(s):  
Khairina Idzni ◽  
Yusya Abubakar
Keyword(s):  
Early Warning ◽  
Early Warning System ◽  
Public Perception ◽  
Quantitative Methods ◽  
Warning System ◽  
Average Score ◽  
Community Perception ◽  
Average Value ◽  
Validated Questionnaire ◽  
The Government

After the earthquake and tsunami in Aceh on December 26, 2004, the government has developed an early warning system calledInaTEWS (Indonesia Tsunami Early Warning System) using a tsunami siren that aims to build community capacity to prepare and take action on tsunami hazards. The purpose of this study was to determine public knowledge, the benefits of siren activation, sound range and public perception of tsunami siren activation. Data collection uses descriptive qualitative and quantitative methods with instruments in the form of a validated questionnaire. Respondents involved were people who lived within a radius of 1 km, 2 km, and 3 km from the tsunami siren point. H asyl research shows that people's perceptions of tsunami siren activation vary , with the level of community knowledge being classified as good (with an average value of 77 , 25 %), as well as the benefits of tsunami siren activation being considered good by the community (with an average rating of 76 , 05%). The range of siren sounds is still quite sufficient (with an average value of 74 , 44 %) and the average public perception of siren activation as a whole is 76% with a good category. Even though the category is good, the average score is not maximal yet. Therefore, to increase knowledge and benefit from tsunami siren activation, awareness and care from the community must be raised. The government must also continue to deliver disaster information on an ongoing basis so that the community can fully understand the function of the tsunami siren.

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