- APPLICATION OF ADAPTIVE BATS SONAR ALGORITHM FOR SOLVING A SINGLE OBJECTIVE OF PRACTICAL BUSINESS OPTIMISATION PROBLEM
Nafrizuan Mat Yahya & Muhammed Nafis Osman Zahid
Faculty of Manufacturing Engineering,
Universiti Malaysia Pahang, 26600 Pekan, Pahang, MALAYSIA
firstname.lastname@example.org & email@example.com
[Download PDF]Abstract: An adaptive bats sonar algorithm to solve single objective optimisation problem is presented. The proposed algorithm utilised the concept of echolocation of a colony of bats to find prey. The proposed algorithm is applied to solve two practical business optimisation problems. The problems are cost optimisation of shipping refined oil and profit optimisation of selling television sets. The acquired results show that the proposed algorithm suitable to produce the appropriate optimum solution of the considered problems. The proposed algorithm can thus be an effective method for solving of single objective optimisation problems.
Keywords: adaptive bats sonar algorithm, swarm intelligence, single objective optimisation, practical business optimisation problems.
- EOCIPHER: A HYBRID APPROACH TO ENHANCE SECURITY OF OUTSOURCED DATA IN PUBLIC CLOUD STORAGE
Dr. Manikandasaran S. S., Dr.Arockiam L. and Dr. Nagarajan L.
Director, Christhuraj Institute of Computer Applications, Trichy, Tamil Nadu, India.
Asso.Prof, Dept. of Computer Science, St. Joseph’s College, Trichy, Tamil Nadu, India.
Director, Adaikalamatha Institute of Computer Application, Thanjavur, Tamil Nadu, India.
[Download PDF]Abstract: Cloud computing is a profitable computing service to an individual and enterprise customers. But due to some security issue, people seem to be hesitated on it. Once the issues are resolved, cloud computing will be the trillion dollars business in the computing world. The Data storage on un-trusted cloud makes data security is a challenging issue. To address this security issue, this paper proposes a hybrid security service algorithm using encryption and obfuscation techniques, namely, EOcipher. Separate algorithm for encryption and obfuscation is proposed but they are working together in EOcipher. EOcipher encrypts and obfuscates the original data based on the type of data. Non-numerical data are encrypted and numerical data are obfuscated. Both encryption and obfuscation are executed in parallel manner. Experiment is conducted for the proposed EOcipher with respect to time, size and security level. The proposed encryption and obfuscation is executed separately and results are compared with EOcipher. The proposed algorithm processes the data in minimum time duration and provides maximum security than encryption and obfuscation. It also minimizes size of data being uploaded to the cloud.
Keywords: Cloud Storage, Cloud Security, Hybrid Security Service, Encryption, Obfuscation.
- LIBRARY AND THE DEVELOPMENT OF INFORMATION POLICY IN MALAYSIA
Faculty of Information Science and Technology,
Selangor International Islamic University College
43600 Bangi, Selangor,MALAYSIA.
Abstract: In the past, library became the core element in establishing information policy. This is due to the institution’s role as information manager and provider particularly in acquisition, organization, classification, maintenance, preservation, distribution and access. This paper discusses the role of library in the process of developing information policy in Malaysia during the early stages between 1960s and 1970s. However, since 1994, the advent of technology has overshadowed the role of the library as a conventional information provider, especially in information technology and communications. This paper is based on literature review in information policy. Analysis revealed that though IT dominates the information policy, studies showed that the role of library is still relevant and should not be abandoned.Keywords: Library, information science, information policy, information provider, information technology and communication.
- AN IMPROVED COLLISION AVOIDANCE ALGORITHM FOR ABRUPT OBSTACLES IN DYNAMIC CROWD SIMULATIONIznora Aini Zolkifly1, Abdullah Bade21Faculty of Business Technology and Accounting
UNITAR International University
3-01A, Level 2, Tierra Crest,
Jalan SS6/3, Kelana Jaya,
47301 Petaling Jaya,
Selangor Darul Ehsan, Malaysia
2Faculty of Science and Natural Resources
Universiti Malaysia Sabah,
88400, Kota Kinabalu,
The crowd simulations are widely used in virtual environment applications such as in entertainment, games, training, safety issues, evacuation and emergent situation. It visualizes the crowd behaviors, movement and interactions in virtual environment. The density of a dynamic crowd can be high, medium or low based on the situation.Obstacles may occur abruptly anytime and any way in a dynamic crowd simulation. Dynamic changes of the obstacles cause a problem to obtain a prediction of target’s motion. Lack of interactions among agents cause them to interact only in condition where close proximity is detected. Each agent has his own goal and personal space. However, in emergent or panic situation, agent’s goal can be changed to find the collision free path in order to exit the environment. Agents perceive the environment and try to find the best solutions with the aid of visual cues. Vision based algorithm is proposed for local collision avoidance, but it has blind spot drawbacks. To overcome this, path finding algorithm with harmonic potential function act as the global path planning and avoidance.This paper presents the fusion of both algorithms in global and local planning to get a better result in dynamic crowd situations.
Keywords: Collision avoidance, abrupt obstacles, crowd simulation