Supply chain optimization towards personalizing web services

Personalization, which has the ultimate goal of satisfying user’s requests, can be perceived in terms of QoS measurement. As one of the means for the success of Semantics Web, many techniques have been effectively used in modeling and developing web service personalization. However, most of these methodologies relied heavily on detailed implicit and explicit information supply by users during initial and subsequent interactions with the systems. We propose in this paper a novel approach using the supply chain management (SCM) technique in personalizing web services as against the conventional notion of applying SCM only to product manufacturing. Our user-model based framework uses multi-agent system (MAS) components in taking requests from users and working towards their satisfaction including seeking for additional information outside the system as the need arises. Only basic stereotype information furnished by potential users at initial contact is required for personalization during subsequent interactions with the system. The system is adaptive and aimed at high quality autonomous information services where users are successfully presented preferred web services with minimum information request

Using multiple sensors to detect uncut crop edges for autonomous guidance systems of head-feeding combine harvesters

This study proposes a method for detection of uncut crop edges using multiple sensors to provide accurate data for the autonomous guidance systems of head-feeding combine harvesters widely used in the paddy fields of Japan for harvesting rice. The proposed method utilizes navigation sensors, such as a real-time kinematic global positioning system (RTK-GPS), GPS compass, and laser range finder (LRF), to generate a three-dimensional map of the terrain to be harvested at a processing speed of 35 ms and obtain the crop height. Furthermore, it can simultaneously detect the uncut crop edges by RANdom SAmple Consensus (RANSAC). The average of the lateral offset value and crop height of the uncut crop edge detected by the proposed method were 0.154 m and 0.537 m, respectively

Efficient searching for grain storage container by combine robot

Partly presented at the 6th International Symposium on Machinery and Mechatronics for Agricultural and Biosystems Engineering ISMAB 2012.In this study, a combine robot was equipped with an autonomous grain container searching function. In order to realize automated grain unloading, the combine robot has to search and identify the grain storage container in an outdoor environment. A planar board was attached to the container. The marker was searched for using a camera mounted on the unloading auger of the combine. An efficient marker searching procedure was proposed on the basis of a numerical analysis of the camera's field of view and was verified experimentally. The results showed that the combine robot efficiently searched for and detected the marker and positioned its spout at the target point over the container to unload the grain

Vision-based uncut crop edge detection for automated guidance of head-feeding combine

This study proposes a vision-based uncut crop edge detection method to be utilized as a part of an automated guidance system for a head-feeding combine harvester, which is widely used in Japan for the harvesting of rice and wheat. The proposed method removes the perspective effects of the acquired images by inverse perspective mapping and recovers the crop rows to their actual parallel states. Then, the uncut crop edges are detected by applying color transformation and the edge detection method. The proposed method has shown outstanding detection performance on the images acquired under various conditions of the paddy field with an average accuracy of 97% and a processing speed of 33 ms per frame

Detection and prevention of distributed denial of services attacks by collaborative effort of software agents, first prototype implementation

Distributed Denial of Services DDoS, attacks has become one of the biggest threats for resources over Internet. Purpose of these attacks is to make servers deny from providing services to legitimate users. These attacks are also used for occupying media bandwidth. Currently intrusion detection systems can just detect the attacks but cannot prevent / track the location of intruders. Some schemes also prevent the attacks by simply discarding attack packets, which saves victim from attack, but still network bandwidth is wasted. In our opinion, DDoS requires a distributed solution to save wastage of resources. The paper, presents a system that helps us not only in detecting such attacks but also helps in tracing and blocking (to save the bandwidth as well) the multiple intruders using Intelligent Software Agents. The system gives dynamic response and can be integrated with the existing network defense systems without disturbing existing Internet model. We have implemented an agent based networking monitoring system in this regard

The IEEE FIPA Approach to Integrating Software Agents and Web Services ABSTRACT

In many settings Web services are now perceived as the first choice technology to provide neatly encapsulated functionality for Web-based computation. To date, many standards have been produced and adoption is accelerating across numerous application domains. This uptake has long been recognized by members of software agent community with several approaches reported that explore various means of extending the utility of Web services with the autonomous control offered by agents. This paper reports on the recent work of several members of this community to consolidate their approaches into a common specification describing how to seamlessly interconnect FIPA compliant agent systems with W3C compliant Web services. This work has been conducted within the context of the IEEE FIPA Agent and Web Service Integration working group and will be shortly published as a new FIPA specification. Categories and Subject Descriptors D.2.1 [Software Engineering]: Requirements/Specifications—software agents, Web service