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Keyword: REFast Stream Cipher based Chaos Neural Network for Data Security in CAN Bus
Vehicle systems are controlled by embedded electronic devices called electronic control units (ECUs). These ECUs are connected together with network protocols. The Controller Area Network (CAN) protocol is widely implemented due to its high fault tolerance. However, the CAN is a serial broadcast bus, and it has no protection against security threats. In this paper,…
Read MoreAnalysis of Security-Reliability Trade-off for Multi-hop Cognitive Relaying Protocol with TAS/SC Technique
This paper studies a trade-off between security (intercept probability (IP)) and reliability (outage probability (OP)) for a multi-hop decode-and-forward (DF) relaying protocol in an underlay cognitive radio network, in presence of a multi-antenna eavesdropper. In the considered protocol, all primary and secondary terminals are equipped with multiple antennas, and they employ transmit antenna selection (TAS)…
Read MoreThe Relation of Compression Strength with Modulus of Rupture and UPV of Concrete Containing M-sand as Fine Aggregate
The impact of Manufacture sand on UPV, compression strength and modulus of rupture has been experimentally investigated and discussed in this paper. Concrete grade 30 (30Mpa) were produced with different percentage of M sand substitution ranging from 25%, 50%, 75% and 100% by volume were selected as concrete mix design in this project. The strength…
Read MoreFacial Expression Recognition using Facial Landmarks: A Novel Approach
The universally common mode of interaction is the human emotions. Thus, there are several advantages of automated recognition of human facial expressions. The primary objective of the proposed framework in this paper, is to classify a person’s facial expression into anger, contempt, disgust, fear, happiness, sadness and surprise. Firstly, CLAHE is performed on the image…
Read MoreLearning the Influence between Partially Observable Processes using Scorebased Structure Learning
The difficulty of learning the underlying structure between processes is a common task found throughout the sciences, however not much work is dedicated towards this problem. In this paper, we attempt to use the language of structure learning to address learning the dynamic influence network between partially observable processes represented as dynamic Bayesian networks. The…
Read MoreCase Study to Determine the Causes of Fire in Agriculture
The aim of this paper is to identify a critical link in the man – machine – environment system in the case of an adverse event, such as a hay baling fire, based on a comprehensive risk assessment method. The rate of spread of fires in agriculture depends on meteorological conditions, with large areas affected…
Read MoreMitigating Congestion in Restructured Power System using FACTS Allocation by Sensitivity Factors and Parameter Optimized by GWO
In modern deregulated power industry, private sector has invested a lot to supply for extended power demand using the preexisting power system framework. This resulted into increased loading of transmission lines which has to work now to hit their thermal limits. The overloading of transmission line resulted in congestion and hence increase in loss of…
Read MoreMentoring Model in an Active Learning Culture for Undergraduate Projects
Senior projects allow students to move the learning process from basic knowledge to an interdisciplinary approach. The purpose of this research is (1) to analysis attitude and perception, which is a collaboration between teachers and students to develop a model for clustering of appropriate advisors and advisee who cooperate in senior project, and (2) to…
Read MoreNon-Ridership Presumption Toward New Bus Rapid Transit Purwokerto-Purbalingga Execution
Bus Rapid Transit in Purwokerto-Purbalingga is a new mass transportation mode. Recently, the execution of the BRT has been going on for three years. In terms of service standards to ridership, the BRT has been fulfilled the requirement. However, during the execution, it shall be supported by the non-ridership (local communities) who get the impact…
Read MoreA Method for Detecting Human Presence and Movement Using Impulse Radar
Using non-invasive and non-contact sensors to measure a person’s presence or movement helps improve the quality of life for both healthy people and patients. In this paper, a method of measuring the presence and motion of a person is proposed by utilizing UWB Impulse Radar, which is low power consumption and safe to radiate to…
Read MoreAn Explanatory Review on Cybersecurity Capability Maturity Models
Cybersecurity is growing exponentially day by day in both the public and private sectors. This growth also comes with a new and dynamic cyber-threats risk that causes both sectors’ performance to halt. These sectors must update their cybersecurity measures and must understand the capability and maturity of their organization’s cybersecurity preparedness. Cybersecurity maturity models are…
Read MoreA Review on Cross-Layer Design Approach in WSN by Different Techniques
Wireless Sensor Networks (WSN) include a large number of sensor nodes that are connected to each other with the limitations in energy sources, battery life, memory, mobility and computational capacity. Since the traditional layered architecture was appropriate only for the wired network. It works within a strict boundary that leads to more energy usage as…
Read MoreDetermination of ERP Readiness Assessment using Agile Parameters: A Case Study
At present, in the era of digitization the organizations need Enterprise Resource Planning (ERP) systems to have the ability adapt to changes with rapid response in order to increase the competitive advantage. The fact, many companies have failed to implement ERP which is proven to be not go live on time, so that the implementation…
Read MoreTowards Classification of Shrimp Diseases Using Transferred Convolutional Neural Networks
Vietnam is one of the top 5 largest shrimp exporters globally, and Mekong delta of Vietnam contributes more than 80% of total national production. Along with intensive farming and growing shrimp farming area, diseases are a severe threat to productivity and sustainable development. Timely response to emerging shrimp diseases is critical. Early detection and treatment…
Read MoreInterpolatory Projection Techniques for H2 Optimal Structure-Preserving Model Order Reduction of Second-Order Systems
This paper focuses on exploring efficient ways to find H2 optimal Structure-Preserving Model Order Reduction (SPMOR) of the second-order systems via interpolatory projection-based method Iterative Rational Krylov Algorithm (IRKA). To get the reduced models of the second- order systems, the classical IRKA deals with the equivalent first-order converted forms and estimates the first-order reduced models.…
Read MoreBathtub-Shape Failure Rate Life Time Model in a New Version with the use of Bayesian Prediction Bounds for the Presence of Outliers
The present article explains obtaining of the Bayesian prediction bounds at the maximum and minimum rate taking into account the results of future observation from a new version of a bathtub-shape failure rate distribution of life time type in the presence of outliers. The Type-II censored sample serves as a basis for the intervals of…
Read MoreFuzzy Recognition by Logic-Predicate Network
The paper presents a description and justification of the correctness of fuzzy recognition by a logic-predicate network. Such a network is designed to recognize complex structured objects that can be described by predicate formulas. The NP-hardness of such an object recognition requires to separate the learning process, leaving it exponentially hard, and the recognition process…
Read MoreClustering of Mindset towards Self-Regulated Learning of Undergraduate Students at the University of Phayao
The effects of Covid-19 severely affected the Thai higher education model. Therefore, there are three significant objectives in this research: (1) to cluster the mindsets and attitudes toward self-regulated learning styles of undergraduate students at the University of Phayao. (2) to construct a predictive model for recommending an appropriate student learning clusters. (3) to evaluate…
Read MoreCorrelation-Based Incremental Learning Network for Gas Sensors Drift Compensation Classification
A gas sensor array is used for gas analysis to aid in an inspection. The signals from the sensor array are fed into machine learning models for learning and classification. These signals are characterized by time series fluctuating according to the environment or drift. When an unseen pattern is entered, the classification may be incorrect,…
Read MoreSocial-Interactive Learning Concept Used for Electronic Educational Resource “Post-Graduate Foreign Language” and the Obtained Learning Curve
The article touches upon an urgent question of social-interactive learning. The resource under study deals with one of the possible ways to solve this problem, in the context of global socio-cultural transformations and a new paradigm for the development of society. It is the formation of a subject-subject dialogue between a teacher and a student.…
Read MoreEarthquake Response of Multi-Storey Infilled Reinforced Concrete Buildings
The aim of this work is to study the effect of infill brick panels on the response of multi-storey buildings under seismic loading. An eight storey building is investigated. The building is analysed under gravity and seismic loads. Infill panel is replaced by two struts according to FEMA306. Time history and pushover analyses are performed…
Read MoreModelling and Simulation of 3-DOF Lower Limb Rehabilitation Robot using Force Feed Forward Control
This research the authors design the intelligent control for 3-DOFs lower limb rehabilitation robot base on the complex dynamics equation. The Force Feed-Forward Method (FFM) is promote to control the of 3-DOFs lower limb rehabilitation robot including dynamics characteristics. The robot can sense the force of the therapist which exerted on the robot and patient’s…
Read MoreModeling and Transformation from Temporal Object Relational Database into Mongodb: Rules
With such a big volume of data growing tremendously every day, and the storage of important volume of data becoming increasingly more flexible, NoSQL(Not only SQL or Non-Relational ) database are designed to store a large amount of information and are growing for big data systems in web analytics. It an approach does not require…
Read MoreReal-Time Traffic Sign Detection and Recognition System for Assistive Driving
Road traffic accidents are primarily caused by drivers error. Safer roads infrastructure and facilities like traffic signs and signals are built to aid drivers on the road. But several factors affect the awareness of drivers to traffic signs including visual complexity, environmental condition, and poor drivers education. This led to the development of different ADAs…
Read MoreCustomer Satisfaction Recognition Based on Facial Expression and Machine Learning Techniques
Nowadays, Customer satisfaction is important for businesses and organizations. Manual methods exist, namely surveys and distributing questionnaires to customers. However, marketers and businesses are looking for quick ways to get effective and efficient feedback results for their potential customers. In this paper, we propose a new method for facial emotion detection to recognize customer’s satisfaction…
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