Search Results - (( developing effective commitment algorithm ) OR ( java application sensor algorithm ))

Study and Implementation of Data Mining in Urban Gardening by Mohana, Muniandy, Lee, Eu Vern

“…The process begins through the monitoring of plants using sensors connected to the Arduino device. Attached sensors generate data and send these data to the Java Servlet application through a WIFI module. …”
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Design Of Robot Motion Planning Algorithm For Wall Following Robot by Ali Hassan, Muhamad Khairul

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Effect of business social responsibility (BSR) on performance of SMEs in Nigeria by Gorondutse, Abdulahi Hassan

“…Therefore, significant positive effects of commitment, trust, and perceived ethics suggest that the variables are important in relation to performance. …”
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Human activity recognition via accelerometer and gyro sensors by Tee, Jia Lin

“…To implement the data engineering system proposed, two mobile applications, SensorData and SensorDataLogger with user-friendly interfaces and intuitive functionalities are developed using Java programming language and Android Studio. …”
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Fraud detection in shipping industry based on location using machine learning comparison techniques by Ganesan Subramaniam, Mr.

“…Results from this study indicates the usage of k-NN is proven to be most effective algorithm in terms of performance and accuracy required by the shipping industry fraud detection.…”

Examining leadership style and ethical reasoning in Nigeria public sector by Felix, Chikelu Okey

“…Findings also showed that the relationship between transformational leadership and post conventional cognitive moral development was found to be significantly moderated by religiosity commitment and vertical individualism and collectivism. …”
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Fair Traffic Scheduling and Shaping Algorithms for Diffserv Networks by Mohamed, Mohamed Awad Elshaikh

“…This thesis investigates the effect of different scheduling mechanisms and usage of a different marker algorithms then develop and implement a fair scheduling mechanism and integrate it with a shaper with the usage of a very fair efficient marker at the edge of the DiffServ networks with the usage of simulation and analytical techniques. …”
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Solving Unit Commitment Problem Using Multi-agent Evolutionary Programming Incorporating Priority List by Othman M.N.C., Rahman T.K.A., Mokhlis H., Aman M.M.

“…This paper presents an approach to solve the unit commitment problem using a newly developed Multi-agent Evolutionary Programming incorporating Priority List optimisation technique (MAEP-PL). …”

Fraud Detection in Shipping Industry using K-NN Algorithm by Subramaniam G., Mahmoud M.A.

Design & Development of a Robotic System Using LEGO Mindstorm by Abd Manap, Nurulfajar, Md Salim, Sani Irwan, Haron, Nor Zaidi

“…Since the model is built using LEGO bricks, the model is fully customized, in term of its applications, to perform any relevant tasks. Ultimately, the algorithm development program designed earlier is linked up directly to the robotic model for program implementation and verification. …”
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Optimal economic load dispatch using multiobjective cuckoo search algorithm by Yasin Z.M., Aziz N.F.A., Salim N.A., Wahab N.A., Rahmat N.A.

“…In this paper, Multiobjective Cuckoo Search Algorithm (MOCSA) is developed to solve Economic Load Dispatch (ELD) problem. …”

Unit commitment in power system using multi-agent evolutionary programming incorporating priority listing optimisation technique / Muhammad Nazree Che Othman by Che Othman, Muhammad Nazree

“…From the result obtained and the comparative study conducted, it is proved that the proposed MAEP-PL optimisation technique has able to solve the unit commitment problem where, the total daily generation cost is effectively minimised and the computation time is reduced as compared to other techniques.…”
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Skyline queries on data with uncertain dimensions for efficient computation by Mohd Saad, Nurul Husna

“…The performance of SkyQUD-T is studied against two naïve algorithms that are developed to reflect the best-case and worst-case scenarios. …”
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A review on artificial intelligence based load demand forecasting techniques for smart grid and buildings by Raza, M.Q., Khosravi, A.

“…As a result, high forecast accuracy is required for multiple time horizons that are associated with regulation, dispatching, scheduling and unit commitment of power grid. Artificial Intelligence (AI) based techniques are being developed and deployed worldwide in on Varity of applications, because of its superior capability to handle the complex input and output relationship. …”
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Bornean Orangutan nest classification using Image enhancement with convolutional neural network and kernel multi support vector machine classifier by Amanda Aiza Amran, Chin Kim On, Samsul Ariffin Abdul Karim, Lai Po Hung, Chai Soo See, Donna Simon, Munirah Rossdy, Chi Jing

“…In future work, we aim to develop orangutan nest detector, contributing to wildlife conservation research.…”
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Bornean Orangutan Nest Classification using Image Enhancement with Convolutional Neural Network and Kernel Multi Support Vector Machine Classifier by Amanda Aiza, Amran, Kim On, Chin, Samsul Ariffin, Abdul Karim, Po Hung, Lai, Soo See, Chai, Donna, Simon, Munirah, Rossdy, Chi, Jing

“…In future work, we aim to develop orangutan nest detector, contributing to wildlife conservation research.…”
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Happiness at workplace on innovative work behaviour and organisation citizenship behaviour through moderating effect of innovative behaviour by Al-Shami, Samer Ali Hussein, Al mamun, Abdullah, Abdul Rashid, Nurulizwa, Chew, Boon Cheong

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