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M. Zaki Zakaria
University Technology of MARA

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Solving RFID mobile reader path problem with optimization algorithms M. Zaki Zakaria; Sofianita Mutalib; Shuzlina Abdul Rahman; Shamsul J Elias; A Zambri Shahuddin
Indonesian Journal of Electrical Engineering and Computer Science Vol 13, No 3: March 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v13.i3.pp1110-1116

Abstract

Radio Frequency Identification (RFID) is a one of the fastest growing and most beneficial technologies being adopted by businesses today. One of the important issues is localization of items in a warehouse or business premise and to keep track of the said items, it requires devices which are costly to deploy. This is because many readers need to be placed in a search space. In detecting an object, a reader will only report the signal strength of the tag detected. Once the signal strength report is obtained, the system will compute the coordinates of the RFID tags based on each data grouping. In this paper, algorithms using genetic algorithm, particle swarm, ant colony optimization are proposed to achieve the shortest path for an RFID mobile reader, while covering full search area. In comparison, for path optimization, the mobile reader traverses from one node to the next, moving around encountered obstacles in its path.  The tag reading process is iterative, in which the reader arrives at its start point at the end of each round. Based on the shortest path, an algorithm that computes the location of items in the search area is used. The simulation results show that the ACO method works more effectively and efficiently compare to others when solving shortest path problems.
Fuzzy expert systems (FES) for halal food additive M. Zaki Zakaria; Norhana Nordin; Ariff Md Ab Malik; Shamsul J Elias; Ahmad Zambri Shahuddin
Indonesian Journal of Electrical Engineering and Computer Science Vol 13, No 3: March 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v13.i3.pp1073-1078

Abstract

Halalan Toyyiban issues acknowledged the need of additional protection for good quality assurance food and should be applied in the food industries. All the food ingredients must be safe, hygiene and nutritious to be used by the consumers. Many chemical ingredients have been added in the food production process in enhancing the food characteristics and act as stabilizer, artificial colour, preservatives, artificial sweetener. This paper presents Halal Food Additive Using Fuzzy Expert Systems (FES) to determine the Halalan Toyyiban safety rating for food additives based on consumers’ past experienced record in allergy complication. The significant of this project is to provide the consumers with health awareness to prevent the health risk that caused by these food additives. This research focuses on 42 types of Halal food additives and 12 type symptoms of allergies that are commonly faced by the consumers.
Co-Authors A Zambri Shahuddin Ahmad Zambri Shahuddin Ariff Md Ab Malik Norhana Nordin Shamsul J Elias Shamsul J Elias Shuzlina Abdul Rahman Sofianita Mutalib