Miracle-dz/UniFAR-FTUs huggingface dataset:
Abnormal Human Being Vital Sign Detection Embedded on Smart Sensor with Collision Avoidance for Disaster Temporary Healthcare

In recent years, the production of mobile computing devices has motivated a revolutionary change in the computing world, which motivates the usage of a wireless ad-hoc and smart sensor network for monitoring the patient in disaster. Flow of signal from sensors to sink node may cause congestion in WSNs if a number of events sensing nodes attempt to send event information to the sink at the same time. Thus, this paper takes the advantages of smart sensors and proposes an energy-efficient and congestion avoidance vital signal detection framework to apply to the natural disaster results in a great number of injured people. The framework consists of several stages designed to improve the performance of wireless sensor networks. First, self-organized wireless ad-hoc and sensor network was simulated, in which all nodes try to organize themselves to organize a network. Nodes in the network reconfigure themselves repeatedly to respond to modifications in the number and location of nodes in order to prevent collisions in the receiver. In the second stage, we proposed a smart sensor processing system with the capability to extract the abnormal vital sign, to reduce the overhead in the aggregator and lower power consumption by sending only the abnormal vital sign. Furthermore, we propose to average polling rate to be suitable for both sender and receiver, in which the intermediate node can balance between the packet arrival rate and the packet service rate, thus avoiding congestion and enhancing the response time.
Mobile Commerce and Consumer Privacy Concerns

M-commerce (mobile commerce) has been gaining popularity as the smartphones proliferated and the high speed mobile data networks become increasingly ubiquitous in the recent years. This study attempts to identify the unique marketing context and features of m-commerce as compared to e-commerce, and to explore how consumers' demographic differences may affect their concerns for information privacy (CFIP) in the context of m-commerce. The APCO model (Antecedents → Privacy Concerns → Outcomes) is used as a framework to help derive our research model. Two perspectives about m-commerce are explored. The m-commerce consumers' demographic differences and their concerns over privacy are analyzed, based on a survey of 278 mobile phone users in U.S. It has been found that the consumers' demographic differences have varying degrees of impact on their concerns for information privacy in the context of m-commerce. These varying degrees of privacy concerns need to be addressed to ensure the healthy growth in m-commerce.
A Lack of Modulation of Motor Evoked Potential in Sensory-impaired Individuals with Spinal Cord Injuries

Corticospinal excitability can be facilitated by peripheral electrical stimulation (ES) in healthy individuals. This facilitation could possibly be via the muscle afferent pathway, however, no direct evidence has been documented. This study was to examine the corticospinal excitability following ES in spinal cord-injured (SCI) individuals with sensory impairments to justify the mechanism. Eight individuals with sensory impairments following SCI and nine healthy subjects were recruited. Motor evoked potentials (MEPs), silent period (SP) elicited by transcranial magnetic stimulation (TMS), and H-reflex elicited by median nerve stimulation were recorded on flexor carpi radialis (FCR) muscle before, during, immediately and 30 minutes after low-intensity 20-Hz median nerve electrical stimulation (ES). The result showed that the MEP increased to 154+29% (p＜0.01) of initial in healthy controls but not in SCI individuals following ES. The H-reflex did not change in both groups. The SP increased (from 41.8 ms to 53.8 ms, p＜0.05) in healthy controls following ES. The SP was not present in individuals with SCI. These data confirm that the lasting facilitation of corticospinal excitability elicited by peripheral nerve stimulation is due to supra-segmental modulation and the muscle afferent is an essential pathway which contributes to the facilitation.
Dynamic game balancing implementation using adaptive algorithm in mobile-based Safari Indonesia game

In developing a game there is one method that should be applied to maintain the interest of players, namely dynamic game balancing. Dynamic game balancing is a process to match a player’s playing style with the behaviour, attributes, and game environment. This study applies dynamic game balancing using adaptive algorithm in scrolling shooter game type called Safari Indonesia which developed using Unity. The game of this type is portrayed by a fighter aircraft character trying to defend itself from insistent enemy attacks. This classic game is chosen to implement adaptive algorithms because it has quite complex attributes to be developed using dynamic game balancing. Tests conducted by distributing questionnaires to a number of players indicate that this method managed to reduce frustration and increase the pleasure factor in playing.
Performance Investigation of 64 × 20 Gbps and 100 × 10 Gbps DWDM System using Hybrid Optical Amplification for different Modulation Formats

For the need of higher capacity and speed optical fiber communication systems are being extensively used all over the world for telecommunication, video and data transmission purposes. Multimedia optical networks are the demands of today to carry out large information like real time video services. Presently, almost all the trunk lines of existing networks are using optical fiber. This is because the usable transmission bandwidth on an optical fiber is so enormous (as much as 50 THz) as a result of which, it is capable of allowing the transmission of many signals over long distances. However, attenuation is the major limitation imposed by the transmission medium for long-distance high-speed optical systems and networks. So with the growing transmission rates and demands in the field of optical communication, the electronic regeneration has become more and more expensive. The powerful optical amplifiers came into existence, which eliminated the costly conversions from optical to electrical signal and vice versa. The hybrid optical amplifier have attracted much attention as they are amplifies the broad bandwidth. The hybrid optical amplifier has wide gain spectrum ease of integration with other devices and low cost. This thesis is mainly concerned with the use of hybrid optical amplifiers in multichannel wavelength division multiplexing (WDM) optical communication system and network. In this chapter, WDM5systems at 645and5100 channels5have been5investigated5at 20 Gbps and 10 Gbps date rates respectively, with Raman-EDFA5amplifier and the5performance5has been investigated and compared5on the basis5of transmission5distance and5dispersion5with and without5nonlinearities for different modulation formats. Dual stage amplification is also5observed5for5Raman-EDFA. It is observed that5distributed RAMAN Amplifier provides5flat5gain spectra for narrow spaced channels and EDFA as second stage amplifier offers high gain. Further DWDM systems are compared base on modulation formats. Sixty four channels DWDM system is compared using NRZ, RZ and DPSK, while 100 channel DWDM system is investigated for NRZ and RZ in5terms of quality5factor, bit5error5rate and eye5height. It observed that RZ offer good quality factor (minimum 14 and maximum 24.5), less eye closure (maximum 2.69), tolerable bit error rate (3.875 × 108) at individual distance as compared to other formats. Further we investigated gain performance of5HOA (Raman5EDFA) after each stage (first stage Raman amplifier and second stage EDFA provides gain nearby 5 dB and 17 dB respectively).
Power Terminal Communication Access Network Monitoring System Scheme Based on Design Patterns

In order to realize patterns design for terminal communication monitoring system, this paper introduces manager-workers, tasks–workers design patterns, based on common design patterns such as factory method, chain of responsibility, facade. Using these patterns, the communication monitoring system which combines module-groups like networking communication, business data processing and the peripheral support has been designed successfully. Using these patterns makes this system have great flexibility and scalability and improves the degree of systematic pattern design structure.
Knowing when to target students with timely academic learning support: not a minefield with data mining

The strategic scheduling of timely engagement opportunities with academic learning support, targeting specific student cohorts requires intentional, informed and coordinated planning. Currently these timing decisions appear to be made with a limited student focus, which considers individual course units only as opposed to having an awareness of the schedule constraints imposed by the students’ full course workload. Hence, in order to respect the full student academic workload, and maximise the quantity and quality of opportunities for students to engage with learning advisors, a means to capture and work with the composition and distribution of student full workload is needed. A data mining approach is proposed in this concise paper, where public domain information accessed from the back end HTML language of course unit information webpages is collected and consolidated in graphical form. The resulting visualisation of the students’ academic learning activities provides a quick and convenient means for academics to make informed scheduling decisions. The case study presented describes the implementation of the data mining in the context of discipline specific academic learning advisors at the University of Southern Queensland servicing three campuses under the ‘One-University’ model.
Rapid area-time estimation of C-based applications for hardware/software partitioning and design exploration

FPGAs (Field-Programmable Gate Arrays) have become an attractive solution to meet the technological and market uncertainties in embedded processing. The advent of reconfigurable systems that incorporates microprocessor and FPGA on the same platform necessitates efficient hardware-software partitioning strategies in emerging design flows. However, commercially available design flows do not enable designers to make design explorations for effective hardware-software partitioning. In this thesis, we propose a framework to realize the rapid estimation of hardware area-time trade-off measures that can facilitate in the FPGA porting of C-codes segments. The proposed framework relies on the Trimaran compiler infrastructure for its advanced scheduling schemes to expose the inherent parallelism in C-based algorithms. The original VLIW machine model employed in Trimaran was modified to incorporate heterogeneous functional units that are well suited for efficient FPGA implementation. In addition, we have proposed an architecture template in order to assist in the estimation of the data-path and control-path of the hardware generated to accelerate the C-code segment. The proposed data-path estimation technique relies on bit-width analysis and a hybrid approach for the estimation of the area-time measures. The hybrid approach employs pre-characterized parameters and analytical models for area-time estimation. Our experiments show that the bit-width optimization technique employed leads to area reduction of up to 3 times. We have also proposed two methods to improve the estimation of the delay measures by taking into account the post implementation interconnect delay between the hardware components by addressing the slack distribution of all the combinatorial paths and floor-planning considerations to predict the placement of the hardware components on the FPGA. The area-time estimation of the control unit based on one-hot encoding scheme examines both the next-state decoding logic and control signal decoding logic provides an average error of only about 10% when compared to commercial tools. ATTENTION: The Singapore Copyright Act applies to the use of this document. Nanyang Technological University Library
Research of Action Recognition Methods Based on RGB+D Videos

In order to solve the problem on making full use of RGB+D dataset that includes RGB data, 3D skeletal data, depth map sequences and infrared videos, this paper proposes an action recognition method of RGB+D videos that merges a multilayer recurrent neural network and two-stream convolutional networks, combining RGB information and joints information together. Simulation results show that the multi-layer recurrent network proposed in this paper has better performance than other recurrent networks when dealing with the skeletal data. Moreover, by combining it with the spatial network or temporal network through nonlinear weighted score fusion, the recognition accuracy is further improved. The cross-view action recognition accuracy is improved to be 0.79%, 5.6%, 20.62% and 23.65% higher than the original method, respectively by using the multilayer network alone, combining the multi-layer network and spatial network, combining the multi-layer network and temporal network, and combining three networks together. Keywords—action recognition; RGB+D; TSN; RNN
The Floatation Stimulation Platform: An investigation into the feasibility of delivering audio and audio-visual stimuli into the floatation tank

The floatation tank experience is unique. It involves floating on a body of water dense in Epsom salt, inside of a purpose-built tank. The buoyancy from the salt density means there is little sensation of gravity, and the water temperature is the same as the skin temperature so there is minimal sense of touch. There is no light, no sound, and no one else. This research considers the feasibility of developing technology designed to stimulate the senses in the floatation environment – conceptualised as the floatation stimulation platform (FSP). The identified target market for the FSP is the commercial floatation centre. Three phases of investigation were conducted to assess feasibility of the FSP. Phase One involved surveying 10 existing floatation centres and assessing their use of stimuli in the floatation environment in a commercial context. Phase Two involved surveying 37 participants connected to a commercial floatation centre's online network. Participants were asked a range of questions about their perceptions and experiences of floatation, stimuli within the floatation tank, and activities they participate in. Phase Three involved analysing a commercial offering of audio stimuli designed for a specific model of floatation tank. The findings of all three phases of investigation suggest the FSP is a feasible concept. A major finding from Phase One was that all surveyed commercial floatation centres currently use stimuli in their floatation tanks, while in Phase Two it was found that all participants surveyed were open to the concept of experiencing stimuli in the floatation tank. Phase Three of the investigation found that stimuli designed for the floatation tank is most valuable to floatation centres if it can increase customer retention. From the investigation findings, recommendations were developed for appropriate business models and developmental pathways for FSP technology. It is suggested that FSP technology operate as different components for different senses. It is also recommended that a content library for existing floatation tank and FSP technology be developed and made available on subscription-based access. The feasibility of creating personalised content for FSP technology is also explored.
VERIFICATION OF METADATA SPECIFIED IN VARIOUS FORMS

These days, there are several systems whose principle is based on the concept of Attribute-Oriented Programming. Some of them can simultaneously process the same program metadata in various forms of definition. For proper function, it is essential to keep these forms of program metadata in consistent state. This paper introduces a verification mechanism of program metadata which provides consistency checking between different forms of the same program metadata. The prototype of verification tool controls consistency between annotations and XML form of program metadata. The prototype is based on user defined binding configuration which maps annotations to parts of XML structured program metadata.
Trusted E-Contracts in Collaborative Intra-Cloud Business-to-Business Environments

Cloud computing is designed to provide services to the end-users and to the owners of organizations over the internet with little cost and with little configuration effort. There are many concerns about cloud computing especially in terms of security, privacy, and trust. These main issues have prevented businesses from fully accepting cloud platforms. Some of the confidential Business-to-Bussiness (B2B) collaborations require secure tunnels to secure the messaging between the services that are deployed within the same cloud. As organizations participating in B2B collaborations deploy their services in single or multiple clouds, businesses face security threats to their sensitive data both from outside and inside the cloud. This work is proposed to contribute to solving such problems. This paper presents an electronic contract (e-contract) based solution that provides a secure Connectivity as a Service (CaaS) for intra-cloud communications. Our proposed model interestingly handles secure messaging for the services deployed within the same cloud. The basic interaction model has further been enhanced by adding a new service layer (Authentication Service) which is responsible for offering a high level of trust between collaborating parties by preventing any unauthorized party from joining the connectivity service. Indeed, our proposed system can prevent any involved organization from launching masquerade attacks. The added layer basically facilitates the integration of the basic model with the Public-Key Infrastructure (PKI). The proposed system can also be helpful in solving other attacks such as man-in-the-middle attacks and modification of the messages attack.
A structural partition of the Unified Medical Language System's semantic network

The Unified Medical Language System (UMLS) integrates many well-established biomedical terminologies. The UMLS's semantic network (SN) can help orient users to the vast knowledge content of the Metathesaurus via its abstract conceptual view. However, the SN itself is large and complex, and may still be difficult to comprehend. Our technique partitions the SN into even higher-level abstract entities which are amenable to display on limited-sized computer screens. The basis for the partitioning is the distribution of the relationships within the SN. The results of applying our technique to the UMLS are discussed.
A Switching Mechanism of Visualization Middleware and Application Using Docker

A Tiled Display Wall (TDW) is one of the visualization systems, which is appropriate for visualization of large-scale data. Although the scientific area needs an easier and cheaper TDW than the current one, a large-scale TDW is still too expensive to build individually. Given that, it is advisable to share the large-scale TDW among scientists who need to use it. To share a TDW, a variety of visualization middleware and applications should be installed on it because scientists use a different one of them depending on their data and purpose. However, there is a problem that it is difficult to coexist multiple visualization middleware and applications on a TDW because there are conflicts of library versions among them. To solve this problem, we propose a switching mechanism of visualization middleware and application using Docker. By using the proposed mechanism, administrators just need to deploy Docker images with visualization middleware and applications on a TDW, and then users can use them without the conflict problem. In the evaluation, the proposed mechanism is shown to have practically and scalability.
Egomotion estimation and multi-run depth data integration for 3D reconstruction of street scenes

Digitalization of a 3D scene has been a fundamental yet highly active topic in the field of computer science. The acquisition of detailed 3D information on street sides is essential to many applications such as driver assistance, autonomous driving, or urban planning. Over decades, many techniques including active scanning and passive reconstruction have been developed and applied to achieve this goal. One of the stateof-the-art solutions of passive techniques uses a moving stereo camera to record a video sequence on a street which is later analysed for recovering the scene structure and the sensor’s egomotion that together contribute to a 3D scene reconstruction in a consistent coordinate system. As a single reconstruction may be incomplete, the scene needs to be scanned multiple times, possibly with different types of sensors to fill in the missing data. This thesis studies the egomotion estimation problem in a wider perspective and proposes a framework that unifies multiple alignment models which are generally considered individually by existing methods. Integrated models lead to an energy minimisationbased egomotion estimation algorithm which is applicable to a wider range of sensor configurations including monocular cameras, stereo cameras, or LiDAR-engaged vision systems. This thesis also studies the integration of 3D street-side models reconstructed from multiple video sequences based on the proposed framework. A keyframe-based sequence bag-of-words matching pipeline is proposed. For integrating depth data
A Study of Sensorless Commutation Methods for Brushless DC Motors

thesis submitted in partial Abstract Due to advantages including high eﬃciency, linear speed torque characteristics and better superior speed performance, Brushless DC (BLDC) motors have been applied in many industrial areas, including automotives, aerospace, HVAC, refrigeration, medicine and industrial automation. BLDC motors are controlled in either sensor or sensorless condition, and many control methods have been proposed to improve their performance. This thesis investigates two sensorless control methods based on line voltage diﬀerences and the disturbance observer respectively. Each of these two sensorless control methods is ﬁrst veriﬁed through Simulink simulation results, and then implemented in an experimental environment based on the DRV8312 Digital Motor Control Kit from Texas Instruments. To ensure the correct commutation of the BLDC motor, diﬀerent phase delay compensation algorithms are applied to compensate the time delay from the low pass ﬁlters for these two sensorless control methods, respectively. Finally, a comparison is made between these two sensorless drives, and the robustness of the sensorless drives during loading transient is demonstrated by simulation results.
Verifiable Secret Sharing Scheme on Images using Watermarking

In this paper, we have implemented Adi Shamir’s (k, n) threshold secret sharing scheme onto 24-bit bitmap images. Along with this we have used a concept of watermarking, hash function and a multilayered threshold secret sharing approach to verify the authenticity of each image share before processing instead of decrypting blindly. Moreover this verification scheme allows us to identify dishonest participants who might have gained unauthorized access on secret shares. Consequently, this proposed scheme offers a highly secure mechanism of image secret sharing, which is different from existing traditional methods. Although we have implemented this scheme on images it can easily be used on any digital format as we are dealing with streams of bits.