Integrated environment for the analysis and design of distributed real-time embedded computing systems

2013 ◽  
Vol 39 (5) ◽  
pp. 242-254 ◽  
Author(s):  
R. L. Smelyansky ◽  
A. G. Bakhmurov ◽  
D. Yu. Volkanov ◽  
E. V. Chemeritskii
Keyword(s):  
Real Time ◽  
Embedded Computing ◽  
Computing Systems ◽  
Analysis And Design ◽  
Integrated Environment

Emerging Real-Time Methodologies

2013 ◽  
pp. 140-159
Author(s):  
Giorgio C. Buttazzo
Keyword(s):  
Real Time ◽  
Research Community ◽  
Embedded Computing ◽  
Computing Systems ◽  
Performance Requirements ◽  
Controlled Systems ◽  
High Predictability ◽  
New Methodologies ◽  
On Chip ◽  
Complex Scenario

The number of computer-controlled systems has increased dramatically in our daily life. Processors and microcontrollers are embedded in most of the devices we use every day, such as mobile phones, cameras, media players, navigators, washing machines, biomedical devices, and cars. The complexity of such systems is increasing exponentially, pushed by the demand of new products with extra functionality, higher performance requirements, and low energy consumption. To cope with such a complex scenario, many embedded systems are adopting more powerful and highly integrated hardware components, such as multi-core systems, network-on-chip architectures, inertial subsystems, and special purpose co-processors. However, developing, analyzing, and testing the application software on these architectures is not easy, and new methodologies are being investigated in the research community to guarantee high predictability and efficiency in next generation embedded devices. This chapter presents some recent approaches proposed within the real-time research community aimed at achieving predictability, high modularity, efficiency, and adaptability in modern embedded computing systems.

Analysis and Design of Supply Chain Inventory Management System under Internet of Things Environment

2014 ◽  
Vol 989-994 ◽  
pp. 5520-5523 ◽  
Author(s):  
Zhi Ping Peng
Keyword(s):  
Internet Of Things ◽  
Real Time ◽  
Inventory Management ◽  
Warehouse Management ◽  
Analysis And Design ◽  
Inventory Costs ◽  
Inventory Management System ◽  
Internet Of Things Environment ◽  
Intelligent Management ◽  
Networking Technology

The networking technology in warehouse management can be automated cargo management, operations and real-time access to inventory. Application networking technology greatly reduces the workload of warehouse management and unnecessary losses. Through the intelligent management of the goods, but also improve the utilization of warehouse space, to enable enterprises to understand the real-time inventory, thereby reducing inventory costs, improve the accuracy of inventory management.

scholarly journals Microprocessors KOMDIV for High Performance Embedded Systems

2021 ◽  
Vol 7 (3) ◽  
Author(s):  
S.G. Bobkov
Keyword(s):  
Embedded Systems ◽  
Power Consumption ◽  
High Performance ◽  
Clock Cycle ◽  
Embedded Computing ◽  
Computing Systems ◽  
Processor Performance

The problems of creating of high-performance embedded computing systems based on microprocessors KOMDIV is considered. Processor performance is dependent upon three characteristics: clock cycle, clock cycles per instruction, and instruction count. These characteristics for microprocessors KOMDIV are optimized using parameter performance/power consumption and requirements of embedded systems.

scholarly journals Analysis and Design of Distribution Systems Information Flow in the Sugar Supply Chain in Indonesia

2021 ◽  
Vol 2 (1) ◽  
pp. 47
Author(s):  
Ratna Ekawati ◽  
Yandra Arkeman ◽  
Suprihatin Suprihatin ◽  
Titi Candra Sunarti
Keyword(s):  
Supply Chain ◽  
Real Time ◽  
Information Flow ◽  
Value Chain ◽  
Distribution Systems ◽  
Product Information ◽  
Information Support ◽  
Main Process ◽  
Time Data ◽  
Analysis And Design

Today's modern supply chain represents a complex and real-time, organization, resource, activity, information, and data source that is involved in the distribution of products and services ranging from upstream to downstream of the supply chain. In the past 4.0 supply chain technology was not just a linear business function, but as the center of the main process of ecosystems that are in a blind spot chained by value. With information as a foundation in the decision-making process so that information can create integrated and efficiently coordinated supply chains. So that it can show continuity from planning to production, inventory, quality, and price control in each chain. An inefficient distribution that results in mistrust among stakeholders, because it has an impact on the decline and loss of value chain in quality and quantity. Integrity problems from the data collected were found in this study. These findings include the identification of various stakeholders, including farmers, importers to customers, and regulators, as well as their needs, which will be described through the use case, and BPMN. The results obtained are that the main actors (stakeholders) of the system are divided into farmers, importers, processing factories, headquarters, hauling services, and markets (customers) in the distribution of product information flow systems. Suggests tracking and tracing based on real-time data flow of product information coming from each actor in the sugar supply chain that is equipped with an accurate data distribution information support system.

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