Abstract Business processes (called machines in this paper) are indispensable instruments for the realization of business activities of production and services. Business security processes (machines) are a type of machines whose role involves decreasing risks, responding to incidents, limiting exposure to liability and increase financial, physical, and personal risk values. Security machines are one of the most important nonfunctional business processes... Business processes (called machines in this paper) are indispensable instruments for the realization of business activities of production and services. Business security processes (machines) are a type of machines whose role involves decreasing risks, responding to incidents, limiting exposure to liability and increase financial, physical, and personal risk values. Security machines are one of the most important nonfunctional business processes due to the possible effect of their failures for organizations in terms of finances, reputation and legal compliance. This paper focuses on capturing security as machines in a diagrammatic form either in the requirements phase of software development or as a necessary tool for documentation and communication in an ongoing system. A number of modeled security processes as machines are developed which can be integrated into business process streams in order to monitor different types of security aspects (e.g., confidentiality, integrity, availability). The paper purpose is to experiment with such a newly proposed machine-oriented approach to the notion of security process and develop case studies in actual business environments. The results points to the viability of the modeling methodology. Read More Read Less

Abstract This paper mainly focuses on the performance of the various clustering algorithm on a particular dataset based on the number of clusters defined. The analysis is performed on the iris dataset from the dataset library. It also compares the performance of the algorithms based on the number of clusters defined. The various algorithms used for the comparison includes K-Means, Hierarchical,... This paper mainly focuses on the performance of the various clustering algorithm on a particular dataset based on the number of clusters defined. The analysis is performed on the iris dataset from the dataset library. It also compares the performance of the algorithms based on the number of clusters defined. The various algorithms used for the comparison includes K-Means, Hierarchical, Model based and Density based Clustering based on Statistical models Read More Read Less

Abstract The (s + t + 1)-dimensional exchanged folded hypercube, denoted by EFH(s,t), is a brand-new interconnection network proposed by Qi et al. Besides, the bus topology is the simplest topology in optical networks, which can be modeled by a linear array graph, denoted by LAn. In this paper, the Routing and Wavelength Assignment (RWA) problem for conducting EFH(s, t) communication... The (s + t + 1)-dimensional exchanged folded hypercube, denoted by EFH(s,t), is a brand-new interconnection network proposed by Qi et al. Besides, the bus topology is the simplest topology in optical networks, which can be modeled by a linear array graph, denoted by LAn. In this paper, the Routing and Wavelength Assignment (RWA) problem for conducting EFH(s, t) communication pattern on LAn is investigate, where n = s + t + 1. To address this problem, an embedding scheme as well as a wavelength assignment algorithm are proposed. The author also shown that the number of wavelengths required by the wavelength assignment algorithm is 2s+t +2s+t-2 +[2t/3]. Read More Read Less

Abstract Internet of Things (IoT) is a trending new technology based on networking and microcomputing. It transfers normal devices into smart devices capable of communicating with other devices and the Internet. IoT-enabled devices are often resource-constrained devices. They have weak processors, small memory and low power supply. This hindered the implementation of the same security protocols and standards used in normal... Internet of Things (IoT) is a trending new technology based on networking and microcomputing. It transfers normal devices into smart devices capable of communicating with other devices and the Internet. IoT-enabled devices are often resource-constrained devices. They have weak processors, small memory and low power supply. This hindered the implementation of the same security protocols and standards used in normal computing devices for IoT. A solution on the horizon is within the field of lightweight cryptography (LWC). The new field aims to provide algorithms optimized for IoT while assuring proper levels of security. This paper aims to review four LWC algorithms which were proposed in ISO/IEC 29192 standard: SIMON, SPECK, PRESENT, and CLEFIA. The review is made based on levels of security and performance of the algorithms on IoT-enabled devices. Several recommendations are then deduced from the review. Read More Read Less

Abstract In this study, a novel system for correcting posture was developed through the application of wearable sensing technology. This system comprises three subsystems, namely, a smart necklace, smart phone, and notebook computer. The smart necklace houses an MPU- 6050 sensor that can collect and analyze gravitational acceleration data when the necklace is worn, and use that data to determine a... In this study, a novel system for correcting posture was developed through the application of wearable sensing technology. This system comprises three subsystems, namely, a smart necklace, smart phone, and notebook computer. The smart necklace houses an MPU- 6050 sensor that can collect and analyze gravitational acceleration data when the necklace is worn, and use that data to determine a user’s upper body posture. When the necklace detects poor posture, it will send a reminder to the user’s smart phone, which is able to receive such messages from the necklace via a mobile app that was developed in this study. This app can also be used to set parameter values such as the standard values (base values for posture assessment) of the necklace and the timing of reminders, and to activate the posture image calibration function on the notebook computer. The notebook computer is used to read the relevant data via a depth camera, identify the user’s skeletal structure and joint reference points, and perform reference point computations, after which signals will be sent to the necklace in order to calibrate the necklace’s standard values. This proposed system allows for: 1) the self-correction of posture to be carried out without the use of corrective clothing that is heavy, thick, and stuffy; 2) the quick calibration of the necklace’s standard values through the use of posture imaging; and 3) the elimination of complex wiring and the effective application of the Internet of Things through the implementation of wireless communication between the interfaces of the smart necklace, smart phone, and notebook computer Read More Read Less