Search

In warehousing process, picking is the matter to be considered preferentially for reducing the operating coast and improving the production efficiency. While large warehouses apply considerable amount of IT technology on picking work, most small and medium warehouses carry out picking process manually. Although manual process involves numerous errors, small and medium companies have hard time introducing the picking system due to the cost issue. To solve such problem, this study suggests the monitoring system for smart picking at small and medium warehouses. The suggested system provides the monitoring service to worker and manager at warehouse for smart picking. Also, the system includes core features such as real-time data exchange, picking service, and monitoring on inventory status. The suggested system reduces time and expense for worker and manager at warehouse. Furthermore, this study shows the processing of smart picking based on the suggesting system.

This paper introduces the development of the smart helmet needed to respond to accidents of rescue workers in the event of a disaster. With the emergence of many IoT-based devices and applications, many of the services that use them are active. However, each service was developed in a specific field, making it difficult to apply new devices, modify application and make changes to services. With the advent of a variety of IoT-based devices and services, we need middleware that can easily integrate them. Our researchers have developed the new software framework enable to integrate a wide range of devices and services and efficiently manage resources. In addition, based on this, we develop the smart helmet to respond the disaster safety accidents. The smart helmet collects, generates, and converts information on sensors (infrared camera, electro optical camera, drone camera, oxygen residual sensor, 6-axis inertial sensor, and smart watch) and it can be monitored through head mounted display(HMD) and the Command Center. Finally, we developed a simulator and generated data based on scenarios, and also tested all devices and service outdoors.

In the field of firefighting, firefighters are usually confronted with isolation situation caused by disconnected communication and decreased visual and auditory sensing ability. Mostof all, they experience the lack of their own and co-workers’ location information. This paperproposes augmented and intelligent services for firefighters doing rescue operation in the dangerous fire scene. The proposed services are developed on a distributed and collaborating software framework and specially designed hardware systems.

Firefighters are typically exposed to dangerous environments where a sense of vision, auditory, and direction is blocked by smoke, dusts, or flame. Some environments are even "infra-less"; power and communication infra is destroyed. Any commands and signals from outside are unavailable, so recognizing directions and making decisions are usually difficult. To protect and save lives of firefighters, we propose a system, ATHENA that provides salient features including tracking and navigation, emergency monitoring and notification, and information sharing among co-workers. ATHENA is a result of an on-going project supported by Korea Government. This paper provides an overview and demonstration of ATHENA.

Feature-oriented software development is a software development paradigm that uses "features" as the first class objects in designing program instead of objects as with the object-orientation. Most of researches on feature-oriented software development attempt to derive program code directly from a feature model, which presents several problems: there is no explicit attempt to embed required quality attributes into code; and features tend to cut across program units and it is difficult to derive program units from the features. To address these problems, a design-feature-based approach is proposed in this paper. Design feature model captures implementation-level design decisions explicitly. It bridges the abstraction gap between features (i.e., functionalities in abstraction) and program units (i.e., concrete implementation). Design features of a design feature model are identified based on required quality attributes. We demonstrated the feasibility of the proposed approach by providing a case study of an arcade game software product line. Initial lessons learned and research agenda are also introduced in the paper.

In software product line engineering (SPLE), commonality and variability across products of a product line domain are captured typically by a feature model. Reusable components are then developed from features. However, mapping features to components remains a complex task requiring a systematic way of exploring and analyzing various concerns arising from inadequate/insufficient domain assumptions. Essentially, those concerns prevent SPLE from achieving various quality attributes. This paper proposes a problem frames-based approach to addressing this problem. An elevator product line example is used to demonstrate the feasibility of the approach.