scholarly journals Z-Plant material information tracking system (ZMITS) alternatives analysis

1999 ◽  
Author(s):  
T.G. IBSEN
Keyword(s):  
Plant Material ◽  
Tracking System ◽  
Information Tracking ◽  
Material Information

Information Tracking System of Liquefied Petroleum Gas Industry in Taiwan

2014 ◽  
Vol 875-877 ◽  
pp. 1794-1798
Author(s):  
Yuen Hsien Tseng ◽  
Zih Ping Ho ◽  
Sen Po Wu
Keyword(s):  
Carbon Emissions ◽  
Tracking System ◽  
Future Research ◽  
Liquefied Petroleum Gas ◽  
Gas Industry ◽  
System A ◽  
Web Structure ◽  
Dynamic Tracking ◽  
Information Tracking ◽  
The Government

An information tracking system of the liquefied petroleum gas industry is important to the government in carbon emissions economics. This research applied an information tracking system to the liquefied petroleum gas industry. It also formulated finding a minimization unexpect LPG quantity (Gap), and auto plot the variation by time of a selected firm using html5 techniques, which unexpect LPG quantity (Gap) was over the predefined threshold. Through a web-structure dynamic tracking system, a manager can easily access the information of unexpect LPG quantity (Gap) firms. Future research suggests expanding this research to physical tank constraints calculation.

scholarly journals Intelligent Decision Support for Improving Power Management

2019 ◽  
Author(s):  
Yongqing Zheng ◽  
Han Yu ◽  
Kun Zhang ◽  
Yuliang Shi ◽  
Cyril Leung ◽  
...  
Keyword(s):  
Decision Support ◽  
Demand Response ◽  
Tracking System ◽  
Electricity Consumption ◽  
Short Term ◽  
Intelligent Decision ◽  
Short Term Load Forecasting ◽  
Information Tracking ◽  
Implementation Management ◽  
Intelligent Decision Support

With the development and adoption of the electricity information tracking system in China, real-time electricity consumption big data have become available to enable artificial intelligence (AI) to help power companies and the urban management departments to make demand side management decisions. We demonstrate the Power Intelligent Decision Support (PIDS) platform, which can generate Orderly Power Utilization (OPU) decision recommendations and perform Demand Response (DR) implementation management based on a short-term load forecasting model. It can also provide different users with query and application functions to facilitate explainable decision support.

scholarly journals IoT Enabled Low Cost Wearable Device for Location and Information Tracking System

2017 ◽  
Vol 140 ◽  
pp. 01035
Author(s):  
Nur Atika Binti Kamaludin ◽  
Normaliza Omar ◽  
Thennarasan Sabapathy ◽  
Nursabrina Binti Iskandar ◽  
Muhammad Ramlee Kamarudin
Keyword(s):  
Tracking System ◽  
Low Cost ◽  
Wearable Device ◽  
Information Tracking

scholarly journals Garden Writers Plan to Write About

1999 ◽  
Vol 17 (1) ◽  
pp. 39-43
Author(s):  
M.P. Garber ◽  
K. Bondari
Keyword(s):  
Plant Material ◽  
Plant Traits ◽  
Pest Resistance ◽  
Botanical Garden ◽  
Sources Of Information ◽  
Herbaceous Perennials ◽  
Success Stories ◽  
Available Information ◽  
Material Information ◽  
Future Demand

Abstract The five categories of plants projected by members of the Garden Writers Association of America (GWAA) to have the greatest future demand were herbaceous perennials, native ferns and wildflowers, ornamental grasses, herbs, and ground covers. This survey noted that the two most important plant traits likely to affect future demand are multi-seasonal color/interest and pest resistance/tolerance. In preparation of gardening communications about plants, the most valued sources of information were personal growing experience, readily available information, and success stories from the local arboreta/botanical garden. The type of plant material information most valued by Garden Writers was regional suitability, landscape requirements, and flowering habit.

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