DESIGN OF CONDITION MONITORING SYSTEM FOR BRIDGE STRUCTURE USING REALTIME DAMAGE DETECTION ALGORITHM

This paper shows application of wireless sensor network for monitoring the structural health of bridge. Many evidences of damaging the bridges had been found in under developed Asian countries before their expiry period. Wireless sensor network can be proved to be a reliable solution for early detection of damages so that early precautions can be taken. In this paper we aim to provide a solution based on WSN system, in which sensors like accelerometers shall be used and located at different predetermined positions of the bridge. The sensors shall be interfaced with wireless nodes for monitoring and transmitting the sensed physical properties of the bridge. The master station located at few meters will compare the results with database in good condition and decision regarding the condition shall be taken. This paper focuses on requirement gathering issues, system design and development issues, design challenges and implementation algorithm

EXTRACTION AND CLASSIFICATION MODEL FOR BUSINESS EVENT FROM CONTRACTS AND TEMPORAL CONSTRAINTS IN SERVICE ENGAGEMENTS

Contract is a self-agreed, enforceable by law and deliberate agreement between two or more competent authority and parties. Contracts are made in written but may be implied or spoken, and generally have to do with another organization, employment, sale or lease, or tenancy. We assume service engagement is a part of business events. Business events such as payments, purchase, sells, delivery etc. not only impotent processes but are also inherently temporally constrained. Analysis phase is carried out to find out business event and their temporal relationships which helps business partners to analyze what to supply and what to require from others as its participates in the service engagement specified by a contract. Contracts are always be in unstructured text and their details also described in form of unstructured text. Our proposed system through this paper is to introduce a novel approach for employing classification, parsing to extract business event and their temporal constraints from contract text. Also we organize the event terms into cluster automatically with the use of topic modeling

Extraction and Classification Model for Business Event From Contracts and Temporal Constraints in Service Engagements

Contract is a self-agreed, enforceable by law and deliberate agreement between two or more competent authority and parties. Contracts are made in written but may be implied or spoken, and generally have to do with another organization, employment, sale or lease, or tenancy. We assume service engagement is a part of business events. Business events such as payments, purchase, sells, delivery etc. not only impotent processes but are also inherently temporally constrained. Analysis phase is carried out to find out business event and their temporal relationships which helps business partners to analyze what to supply and what to require from others as its participates in the service engagement specified by a contract. Contracts are always be in unstructured text and their details also described in form of unstructured text. Our proposed system through this paper is to introduce a novel approach for employing classification, parsing to extract business event and their temporal constraints from contract text. Also we organize the event terms into cluster automatically with the use of topic modeling