Motorized cart

Motorized cart is known as an effective tool and timeless that help people carry heavy loads. For farmers, it has an especially vital tool for moving goods. Oil palm farmers typically uses the wheelbarrow to move the oil palm fruit (Figure 10.1). However, there is a lack of equipment that should be further enhanced in capabilities. Motorized carts that seek to add automation to wheelbarrow as it is to help people save manpower while using it. At present, oil palm plantation industry is among the largest in Malaysia. However, in an effort to increase the prestige of the industry to a higher level there are challenges to be faced. Shortage of workers willing to work the farm for harvesting oil palm has given pain to manage oil palm plantations. Many have complained about the difficulty of hiring foreign workers and a high cost. Although there are tools that can be used to collect or transfer the proceeds of oil palm fruits such as carts available. However, these tools still have the disadvantage that requires high manpower to operate. Moreover, it is not suitable for all land surfaces and limited cargo space. Workload and manpower dependence has an impact on farmers' income

Applying ANFIS Model in Decision-making of Vertical Handover between Macrocell and Femtocell Integrated Network

[EN] One of the most challenging tasks in communication networks is to maintain seamless mobility and service continuity during a vertical handover. This paper provides the case of handover decision making between femtocell and macrocell integrated network considering several input parameters, namely SINR, bandwidth and energy consumption. We have simulated and proposed a vertical handover based on adaptive neuro-fuzzy inference system (ANFIS) to achieve a goal of having an intelligent handover and to predict the best destination network. The simulation results show that the approach based on ANFIS leads to a reduction of unnecessary handovers and a minimization of the energy consumption as compared to the existing approaches.Benaatou, W.; Latif, A.; Pla, V. (2019). Applying ANFIS Model in Decision-making of Vertical Handover between Macrocell and Femtocell Integrated Network. Journal of Telecommunication, Electronic and Computer Engineering. 11(1):57-62. http://hdl.handle.net/10251/159152S576211

Fuzzy Assisted Handoff Algorithm for Micro and Macro Cellular System

Handoff is an essential part of any Mobile Communication Network. Efficient handoff algorithms provide cost-effective way for enhancing the capacity and QOS of cellular system. The work reported here in presents multi-criteria based hard handoff algorithm for micro and macro-cellular architecture. Fuzzy technique has been used as optimization engine. The fuzzy handoff algorithm based on Received Signal Strength (RSS), absolute threshold value, hysteresis level, slope ratios and speed of Mobile Terminal (MT) have been previously developed for conventional cellular networks. In this work the handoff algorithm has been improved by considering two new parameter, signalling delay and angle of motion of MT along with velocity as our input criteria. Two fuzzy models named Mamdani and Sugeno have been used for processing the input criteria. Further, ANFIS has also been used to tune the Sugeno model for parameter adjustment. The proposed fuzzy inference scheme uses triangular and trapezoidal membership function for fuzzification. The types of defuzzification method used are centriod and weighted average formula for Mamdani and Sugeno model respectively. Extensive simulation analysis has been used to validate the proposed technique. The results show that fuzzy is a viable option for handoff