In this paper, we propose a sextuple cross-coupled SRAM cell, namely SCCS18T, protected against double-node upsets. Since the proposed SCCS18T cell forms a large feedback loop for value retention and error interceptio...
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ISBN:
(数字)9781728174679
ISBN:
(纸本)9781728174686
In this paper, we propose a sextuple cross-coupled SRAM cell, namely SCCS18T, protected against double-node upsets. Since the proposed SCCS18T cell forms a large feedback loop for value retention and error interception, the cell can provide self-recoverability from any single-node upsets (SNUs) and partial double-node upsets (DNUs). Moreover, the proposed cell has optimized operation speed due to the use of six access transistors. Simulation results show that the SCCS18T cell can save approximately 65% read access time at the cost of 49% power dissipation and 50% silicon area on average, compared with typical hardened SRAM cells.
Physical control systems are increasingly controlled by reconfigurable, network-enabled devices to increase flexibility and ease commissioning and maintenance. Such capability creates vulnerabilities. Devices may be r...
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Visual cryptography schemes are developed for image security, where encryption is realized by distributing a secret image into shares and decryption is done only by stacking the shares. Human eyesight is usually used ...
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ISBN:
(数字)9781728164977
ISBN:
(纸本)9781728164984
Visual cryptography schemes are developed for image security, where encryption is realized by distributing a secret image into shares and decryption is done only by stacking the shares. Human eyesight is usually used to evaluate the security and performance of visual cryptography schemes. However, objective criteria for visual cryptography schemes are not yet established. In this paper, by the aid of neural networks, we propose two criteria called encryption-inconsistency and decryption-consistency for evaluating the shares and the recovered images, respectively. We also implemented the experiments for two representatives of visual cryptography schemes by applying three popular convolutional neural networks (CNN) to adopt our proposed criteria.
Pneumatic Artificial Muscle (PAM) is essential to support patients with weak muscles in daily activities and physical rehabilitation process. Hence, the research on PAM as an assistive device is crucial for elderly an...
ISBN:
(数字)9781728148427
ISBN:
(纸本)9781728148434
Pneumatic Artificial Muscle (PAM) is essential to support patients with weak muscles in daily activities and physical rehabilitation process. Hence, the research on PAM as an assistive device is crucial for elderly and patients in the hospital, especially patients suffering from hemiplegic gait. Based on the understanding of the lower-limb muscle activation and human gait analysis, we proposed PAM Automatic Controller to drive PAM adaptively to support patient's gait in real-time. Automatic Controller primarily leverages the swing phase during gait to set the start of activation and muscle contraction duration to control the PAM using the smartphone wireless PAM driver. An evaluation experiment on Automatic Controller was conducted against the manual settings of PAM. Compared with manual setting, the Automatic Controller provides comparable results to the best performance of static settings. In addition, it adjusts the contraction time in real-time without having the participants to carry out the calibration by running the 13 cases to set the parameters manually.
Religious tourism is a special category of tourism that holds a special place in the tourism business of Nepal. This work proposes the analysis and design of religious tourism recommender system for Nepal. The work is...
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ISBN:
(纸本)9781728175898
Religious tourism is a special category of tourism that holds a special place in the tourism business of Nepal. This work proposes the analysis and design of religious tourism recommender system for Nepal. The work is built by analyzing the core requirements of tourist and religious tourism destinations through tourist interviews and literature review. An object oriented approach based on Unified Modeling Language (UML) is used as a primary tool combined with literature and other design documents as the secondary source. This work specifically includes interviews of visitors and study of Pashupatinath and Lumbini destination of Nepal. The work identifies concepts, artifacts, functional processes, actors and relational dependencies between them to build use case models, conceptual model, reference model, data models and religious tourism recommender system for Nepal. Tourism products, services, security concerns, real time security management, geo tagged information clusters and religious tourism information content are the primary dimensions of the proposed system. Controlled test are performed with the design components to ensure the correctness and quality of the modules. Requirement verification is based on user input and available literature. The system is first of its kind in Nepalese context and serves in the area of recommendation and tourist safety in religious destinations. This work is important as a knowledge base and in building a comprehensive tourism recommender system for religious destinations of Nepal.
Spinal muscular atrophy (SMA) is a neurodegenerative disease characterized by the selective loss of spinal motor neurons (MNs) and concomitant muscle weakness. Mutation of is known to cause SMA, and restoring SMN pro...
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Spinal muscular atrophy (SMA) is a neurodegenerative disease characterized by the selective loss of spinal motor neurons (MNs) and concomitant muscle weakness. Mutation of is known to cause SMA, and restoring SMN protein levels via antisense oligonucleotide treatment is effective for ameliorating symptoms. However, this approach is hindered by exorbitant costs, invasive procedures, and poor treatment responses of some patients. Here, we seek to circumvent these hurdles by identifying reliable biomarkers that could predict treatment efficacy. We uncovered that MiR34 exhibits consistent downregulation during SMA progression in both human and rodent contexts. Importantly, family-knockout mice display axon swelling and reduced neuromuscular junction (NMJ) endplates, recapitulating SMA pathology. Introducing MiR34a via scAAV9 improved the motor ability of SMNΔ7 mice, possibly by restoring NMJ endplate size. Finally, we observed a consistent decreasing trend in MiR34 family expression in the cerebrospinal fluid (CSF) of type I SMA patients during the loading phase of nusinersen treatment. Baseline CSF MiR34 levels before nusinersen injection proved predictive of patient motor skills 1 year later. Thus, we propose that MiR34 may serve as a biomarker of SMA since it is associated with the pathology and can help evaluate the therapeutic effects of nusinersen.
In this paper, we present a lightweight Deformable Surface Mechanism (DSM) by applying shape-memory alloy (SMA) and sponge for moving objects as a soft actuator. The SMA is driven by heating and cooling processing wit...
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ISBN:
(数字)9781728185262
ISBN:
(纸本)9781728185279
In this paper, we present a lightweight Deformable Surface Mechanism (DSM) by applying shape-memory alloy (SMA) and sponge for moving objects as a soft actuator. The SMA is driven by heating and cooling processing with the cur-rent flowing. For the SMA, cooling is a process for recovering to original length which consumes time. In order to decrease the recovering time and making the surface deformable, a sponge sheet is applied in the mechanism. We used the cotton thread to sew the SMA into the sponge to manufacture the mechanism. The DSM contains a multi-triangle structure, and each triangle works as an individual actuation unit. By applying this structure and special sewing technique, the sponge sheet can be deformed in a vertical direction when the SMA contracted. While, when the current is turned off, the SMA can be stretched to the original length by the pushing force generated by the sponge. Therefore, a deformable surface mechanism with a rapid response can be achieved. We simulated the changing of uni-Deformable Surface Mechanism (uniDSM), and the experiments were followed to compare with the analyzed results. Additionally, different objects were examined on the DSM to test the conveyance ability.
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