Conference Papershttp://hdl.handle.net/20.500.14131/502024-02-25T02:21:01Z2024-02-25T02:21:01ZProgrammer Performance Prediction with Cognitive Tests: A Granular ApproachElKafrawy, PassentFarghaly, Ayman Aboulmagdhttp://hdl.handle.net/20.500.14131/13822024-01-25T06:29:56Z2023-10-23T00:00:00ZProgrammer Performance Prediction with Cognitive Tests: A Granular Approach
ElKafrawy, Passent; Farghaly, Ayman Aboulmagd
Universities and students face the challenge of finding the career that best suits the students. Programming is currently one of the highly sought-after careers and is one of the highest paying jobs. However not all students succeed in this career. In fact failure rates in programming field is relatively high globally. In this research, we used a spatial rotation test and Non-Verbal reasoning test as well as gender, at the beginning of the semester to observe the relationship between those tests and students' grades at the end of the semester for 2 groups. Group 1 are Computer Science students studying programming course and group 2 are non-Computer Science students studying programming course. For each group, we created a predictive model using 2 methods. Method 1 uses the conventional aggregate score of cognitive tests and method 2 uses answers to selected questions in each test. In method 2, we applied a data-driven methodology which utilize individual answers to questions as input to the model. To the best of our knowledge we are the first in this field to apply this method. The modeling results show usefulness of those test to predict programming and non-programming course grades using both methods, however method 2 demonstrates much higher superiority over the aggregate method 1.
2023-10-23T00:00:00ZA Smart and Privacy-Preserving Logistics System Based on IoT and Blockchain TechnologiesMohammed Balfaqihbalfagih, zainAkram A AlmohammediKhaled M Alfawazhttp://hdl.handle.net/20.500.14131/13662024-01-18T06:34:21Z2023-01-23T00:00:00ZA Smart and Privacy-Preserving Logistics System Based on IoT and Blockchain Technologies
Mohammed Balfaqih; balfagih, zain; Akram A Almohammedi; Khaled M Alfawaz
The smart city concept serves the well-being of the urban population in order to improve quality of life in different life aspects including logistic services. However, the continuous growth of logistics volume combined with information opaqueness and process complexity led to challenging issues related to managing the services and information of logistics. Hence, efficient management of logistics activities with traceability and condition monitoring capabilities is required to ensure quality and safe delivery. It is necessary also to ensure the accuracy and dependability of distribution data. In this context, this paper proposes a smart and privacy-preserving logistics system for high-price goods distribution. An intelligent parcel (iParcel) containing piezoresistive sensors is developed to pack delivered goods during shipping process for violation detection such as severe fall or theft. Moreover, smart contracts based on blockchain is also developed for automatic approval and payment with the consideration of distributing the shipping information between legitimate logistics parties only. A zero-knowledge proof is used to conceal blockchain address and prove the authentication. iParcels are automatically tracked and traced in which upon violation occurrence, the contract is cancelled, and the payment is refunded. The transaction fee per party is reasonable for high-price products in the pay of guarantee successful shipment.
2023-01-23T00:00:00ZA Smart and Privacy-Preserving Logistics System Based on IoT and Blockchain TechnologiesMohammed Balfaqihbalfagih, zainAkram A AlmohammediKhaled M Alfawazhttp://hdl.handle.net/20.500.14131/13602024-01-18T06:16:52Z2023-01-23T00:00:00ZA Smart and Privacy-Preserving Logistics System Based on IoT and Blockchain Technologies
Mohammed Balfaqih; balfagih, zain; Akram A Almohammedi; Khaled M Alfawaz
The smart city concept serves the well-being of the urban population in order to improve quality of life in different life aspects including logistic services. However, the continuous growth of logistics volume combined with information opaqueness and process complexity led to challenging issues related to managing the services and information of logistics. Hence, efficient management of logistics activities with traceability and condition monitoring capabilities is required to ensure quality and safe delivery. It is necessary also to ensure the accuracy and dependability of distribution data. In this context, this paper proposes a smart and privacy-preserving logistics system for high-price goods distribution. An intelligent parcel (iParcel) containing piezoresistive sensors is developed to pack delivered goods during shipping process for violation detection such as severe fall or theft. Moreover, smart contracts based on blockchain is also developed for automatic approval and payment with the consideration of distributing the shipping information between legitimate logistics parties only. A zero-knowledge proof is used to conceal blockchain address and prove the authentication. iParcels are automatically tracked and traced in which upon violation occurrence, the contract is cancelled, and the payment is refunded. The transaction fee per party is reasonable for high-price products in the pay of guarantee successful shipment.
2023-01-23T00:00:00ZA Smart and Privacy-Preserving Logistics System Based on IoT and Blockchain TechnologiesMohammed Balfaqihbalfagih, zainAkram A AlmohammediKhaled M Alfawazhttp://hdl.handle.net/20.500.14131/13582024-01-18T06:12:55Z2023-01-23T00:00:00ZA Smart and Privacy-Preserving Logistics System Based on IoT and Blockchain Technologies
Mohammed Balfaqih; balfagih, zain; Akram A Almohammedi; Khaled M Alfawaz
The smart city concept serves the well-being of the urban population in order to improve quality of life in different life aspects including logistic services. However, the continuous growth of logistics volume combined with information opaqueness and process complexity led to challenging issues related to managing the services and information of logistics. Hence, efficient management of logistics activities with traceability and condition monitoring capabilities is required to ensure quality and safe delivery. It is necessary also to ensure the accuracy and dependability of distribution data. In this context, this paper proposes a smart and privacy-preserving logistics system for high-price goods distribution. An intelligent parcel (iParcel) containing piezoresistive sensors is developed to pack delivered goods during shipping process for violation detection such as severe fall or theft. Moreover, smart contracts based on blockchain is also developed for automatic approval and payment with the consideration of distributing the shipping information between legitimate logistics parties only. A zero-knowledge proof is used to conceal blockchain address and prove the authentication. iParcels are automatically tracked and traced in which upon violation occurrence, the contract is cancelled, and the payment is refunded. The transaction fee per party is reasonable for high-price products in the pay of guarantee successful shipment.
2023-01-23T00:00:00Z