Proposals for SoCTA2017 special sessions/workshop should contain the following information:

• - Title of the special session/Workshop:
• - Names of proposers:
• - Affiliations:
• - Email addresses:
• - Description of the special session/workshop:
• - List of 6-10 potential contributors

Proposals should be submitted to rksaini.bu@gmail.com

Special Session on: Cyber Security and Forensics in Soft Computing

Track Chair: Dr. Ajeet S Poonia, Mr. Chitresh Banerjee

Affiliations: Govt. College of Engineering and Technology, Bikaner and Amity University Rajasthan

Email addresses: pooniaji@gmail.com, chitreshh@yahoo.co

Scope & Aim: The Special Session on Security and Cyber Forensics focuses on the diversity of the systems' security developments & deployments in order to highlight the most recent challenges and report the latest research results. The session is intended to attract researchers & practitioners from academia & industry, and provides an international discussion forum for sharing experiences & new ideas concerning emerging aspects of the systems security in different application domains using soft computing. The aim of the special session is to invite researchers and practitioners and to provide an international forum to report up-to-the-minute innovations and developments, summarize state-of the-art, and exchange ideas and advances in all aspects of security and cyber forensics.

International Workshop on: Parameter Tuning in Swarm Intelligence

Track Chair: Prof. Ajith Abraham, Prof. R. K. Saini

Technically Sponsored By: MIR Labs, USA

Sponsored By: TEQIP-3 and DRDO

Scope & Aim: Manufacturing technologies are currently defined as on basics of adoptability, autonomous production, and level of automatization. As we modernize the manufacturing lines, subsequently we are required to update and integrate most modern technologies in order to keep the business competitive. In such way, we can assure cheaper products, shorter manufacturing times, lowering of the production costs. Due to the dynamic processes and increase of the machining parameters optimizing the information which is essential for production got significantly harder. For solving such problems, we have to turn our choice onto the intelligent methods, such as Particle swarm optimization or similar type of intelligent optimization. In this paper we present a proposal, how to successfully gain optimal cutting parameters – cutting speed, feedrate and cutting depth for certain requirements such as cutting force, surface finish – roughness and cutting tool life.

TECHNICALLY SUPPORTED BY

SPONSORED BY

PROCEEDINGS IN