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Author(s):  
Mohd Syafiq Mispan ◽  
Aiman Zakwan Jidin ◽  
Muhammad Raihaan Kamarudin ◽  
Haslinah Mohd Nasir

An emerging technology known as Physical unclonable function (PUF) can provide a hardware root-of-trust in building the trusted computing system. PUF exploits the intrinsic process variations during the integrated circuit (IC) fabrication to generate a unique response. This unique response differs from one PUF to the other similar type of PUFs. Static random-access memory PUF (SRAM-PUF) is one of the memory-based PUFs in which the response is generated during the memory power-up process. Non-volatile memory (NVM) architecture like SRAM is available in off-the-shelf microcontroller devices. Exploiting the inherent SRAM as PUF could wide-spread the adoption of PUF. Therefore, in this study, we evaluate the suitability of inherent SRAM available in ATMega2560 microcontroller on Arduino platform as PUF that can provide a unique fingerprint. First, we analyze the start-up values (SUVs) of memory cells and select only the cells that show random values after the power-up process. Subsequently, we statistically analyze the characteristic of fifteen SRAM-PUFs which include uniqueness, reliability, and uniformity. Based on our findings, the SUVs of fifteen on-chip SRAMs achieve 42.64% uniqueness, 97.28% reliability, and 69.16% uniformity. Therefore, we concluded that the available SRAM in off-the-shelf commodity hardware has good quality to be used as PUF.


2021 ◽  
Author(s):  
Shirley. Gilbert

With recent advancement in Radio Frequency Identification (RFID) technology, in addition to reduction in cost of each unit, security has emerged as a major concern. Since an RFID tag has limited resources like memory, power and processing capabilities, authentication must be provided by encryption and decryption procedures that are lightweight consuming minimal resources. This report investigates some relevant RFID encryption algorithms and their possible implementations with respect to security, cost and performance. A survey and brief comparison of the algorithms are performed and the Tiny Encryption Algorithm (TEA) is selected as a feasible solution for encryption and decryption with an acceptable level of security. TEA is implemented on an FPGA (Field Programmable Gate Array) platform. After investigating several state-of-the-art authentication approaches, two protocols are designed incorporating TEA and implemented using VHDL. Simulations corroborate the functionality of the protocols and the two techniques are compared in terms of timing, cost, security and performance. Potential improvements to enhance the security and strengthen RF communication during authentication are explored.


2021 ◽  
Author(s):  
Shirley. Gilbert

With recent advancement in Radio Frequency Identification (RFID) technology, in addition to reduction in cost of each unit, security has emerged as a major concern. Since an RFID tag has limited resources like memory, power and processing capabilities, authentication must be provided by encryption and decryption procedures that are lightweight consuming minimal resources. This report investigates some relevant RFID encryption algorithms and their possible implementations with respect to security, cost and performance. A survey and brief comparison of the algorithms are performed and the Tiny Encryption Algorithm (TEA) is selected as a feasible solution for encryption and decryption with an acceptable level of security. TEA is implemented on an FPGA (Field Programmable Gate Array) platform. After investigating several state-of-the-art authentication approaches, two protocols are designed incorporating TEA and implemented using VHDL. Simulations corroborate the functionality of the protocols and the two techniques are compared in terms of timing, cost, security and performance. Potential improvements to enhance the security and strengthen RF communication during authentication are explored.


2021 ◽  
Vol 6 (1) ◽  
pp. 94-116
Author(s):  
Bhavana Jennifer ◽  
Prasann Naik

Learning is a process of living that enables us to move forward in life. Learning is much deeper than just recalling and memorizing. Learning done on a daily basis involves understanding, relating opinions and making connective links between the information learnt previously with the new information learnt recently. There are various forms in which learning can be practiced. The aim of this research is to study about the memory and learning ability of Early and Late adolescents with regards to the objectives set to be; to differentiate the learning ability of Early and Late adolescents as well as to adhere to the early psychological research that was done on the memory power of different stages of Adolescents.  The hypothesis of this study is that there will be a significant difference in learning between Early adolescents and the Late adolescents. 60 samples were taken, 30 in each group. The methodology used in this study are ‘serial leaning and serial positioning’ which were used to demonstrate how individuals of different ages can recall information associated with time delay of 10 minutes between serial learning (orderly manner) and serial positioning (disorderly manner).  The groups were Early Adolescents and Late adolescents from an educational institute located around the college campus. Adolescents with physical disabilities were not included in the study and all the adolescents in this study are from an English medium institution. For the results, Standard deviation and t-test were used to score. The study was proven that Late adolescents have higher memory recall ability compared to that of the early adolescents.


Author(s):  
Ms Mani ◽  
Lovepreet Kaur

WSN is a distributed network that consists of great amount of sensor nodes and has the capacity of sensing, processing and transmits the partially processed and required data only. Sensor nodes have a tiny size, low cost but along with it the constraints of sensor node is they have limited memory, power source which is irreplaceable so power conservation should primarily focused by sensor network protocols. The proposed model was deals with environmental application where detection of forest fire is analyzed by taking parameters such as temperature, humidity, wind speed and time using fuzzy logic as by detecting earlier of fire in forest it helps to prevent huge loss of living organism, infrastructure and property. After detection the proposed MSA (Modified Sleep Awake) model work in prolonging lifetime of WSN in forest fire application using selective sleep awake approach. Cloud computing help to overcome the limitation of WSN such as limited storage, processing, power life processing. The resource allocation problem is the major problem for a group of cloud user requests. The scheduling algorithms are termed as NP completeness problems in which FIFO scheduling is used by the master node to distribute resources to the waiting tasks. The problem like fragmentation of resources, low utilization of the resources such as CPU utilization, network throughput, disk I/O rate. In this paper different papers are reviewed and further it is implemented in research paper.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Alan D. Snow ◽  
Joel A. Cummings ◽  
Rudolph E. Tanzi ◽  
Thomas Lake

AbstractMemory loss is primarily caused by the accumulation of both brain plaques [(consisting of beta-amyloid protein (Aβ) 1–42)] and neurofibrillary tangles (consisting of paired helical and straight filaments containing tau protein). Neuroinflammation is the third key and important factor that leads to accelerated memory loss and eventual dementia. Brain plaques, tangles and inflammation is the trilogy mainly responsible for causing memory loss that has now been documented for over 20 years in the scientific literature. The present investigation used in vitro quantitative methods to directly compare the ability of major memory-support dietary supplements to reduce pre-formed Aβ 1–42 fibrils (21 supplements tested) and tau protein paired helical/straight filaments (13 supplements tested)—two of the three most important targets for memory loss. Additionally, 18 different manufacturers of cat’s claw (Uncaria tomentosa) were directly compared for their ability to inhibit/reduce Aβ 1–42 fibrils and/or tau paired helical/straight filaments based on recent findings that PTI-00703 cat’s claw is a specific and potent inhibitor/reducer of all three targets -brain plaques, tangles and inflammation (Snow et al. in Sci Rep 9:561, 2019). In the present investigation quantitative Thioflavin T fluorometry was used on a comparative weight-to-weight basis at increasing concentrations with ingredients tested from the actual capsules the consumer ingests. Major memory-support dietary supplements were directly compared for their ability to inhibit and disaggregate/reduce both Aβ 1–42 fibrils and/or tau paired helical/straight filaments. Dietary supplements touted to enhance memory comparatively tested included Prevagen, FOCUSfactor, PROCERA AVH, Alpha Brain, NAD+OVIM, BRAIN JUICE, Cebria, EXCELEROL, NOOCUBE, US Doctor’s Clinical Brain Power ADVANCED, healthycell pro, LUMONOL, Brain Awake, BRAIN ARMOR, brainMD (BRAIN & MEMORY POWER BOOST), Brain Support, Clarity (BRAIN HEALTH FORMULA), brainMD (NEUROVITE PLUS), neuriva (Original and Plus) and percepta. This is the first paper to actually comparatively test these memory-support supplements for their ability to reduce Aβ fibrils and tau protein tangles. Percepta (PTI-00703 cat’s claw and a specific oolong tea extract) was determined to be the most effective and potent memory support dietary supplement to disaggregate/disrupt Aβ 1–42 fibrils (range of 25–89%) and tau paired helical/straight filaments (range of 26–86%) at all 3–4 doses tested in comparison to other major memory-support dietary supplements tested. This was at least more than double (> 50%) for percepta reducing Aβ 1–42 fibrils and in comparison to the other 20 memory-support dietary supplements tested. The ranking order for memory-support supplement effects based on reducing Aβ 1–42 fibrils (Aβ 1–42: memory-support supplement at 1:0.1 weight-to-weight in a 3-day study) was percepta (69.6% reduction) >>> Alpha Brain (34.9% reduction) = US Doctor’s Clinical Brain Power ADVANCED (32.4%) = BRAIN JUICE (30.1%) = neuriva Plus (27%) = neuriva Original (27%) > NEUROVITE PLUS (22.9%) = NOOCUBE (19.9%) = EXCELEROL (17.3%) = healthycell pro (17.2%) > Prevagen (12.9%) > PROCERA AVH (6.5%) = FOCUSfactor (5.5%) > Cebria (0%) = Brain Awake (0%) = Brain Support (0%) = brainMD (BRAIN & MEMORY POWER BOOST) (0%) = NAD+OVIM (0%) = BRAIN ARMOR (0%) = LUMONOL (0%). The ranking order for memory support supplement effects on reducing tau paired helical/straight filaments (tau:memory supplement at 1:1 weight-to-weight at 3 days) was percepta (85.7% reduction) >>> neuriva Plus (57.9%) >> BRAIN JUICE (41.9%) = EXCELEROL (41.0%) = neuriva Original (38.4%) = US Doctor’s Clinical Brain Power ADVANCED (38.3%) = healthycell pro (37.6%) >> Alpha Brain (27.9%) >> NOOCUBE (17.6%) >> FOCUSfactor (8.7%) > Cebria (3.6%) = PROCERA AVH (0%) = Prevagen (0%). Congo red staining, Thioflavin S fluorescence, circular dichroism (CD) spectroscopy and electron microscopy confirmed the positive results observed with the supplement percepta. CD spectroscopy demonstrated that percepta caused a marked inhibition of beta-sheet secondary folding of tau protein into paired helical filaments. PTI-00703 cat’s claw (main ingredient in percepta) was also identified as the most potent cat’s claw bark powder (Uncaria tomentosa) to reduce and inhibit Aβ 1–42 fibrils and tau tangles in comparison to 17 other manufacturers of cat’s claw extracts. Although there are thousands of brain memory-support dietary supplements in the marketplace today, none of them have been directly compared and analyzed for their ability to reduce and/or inhibit two major targets of memory loss i.e. Aβ 1–42 fibrils and tau paired helical/straight filaments (major constituents of brain plaques and tangles). In our comparison studies, we show that percepta has the most potent ability to disaggregate/reduce Aβ 1–42 fibrils and tau protein paired helical/straight filaments as demonstrated by a variety of methods most likely due to the specific polyphenol content in PTI-00703 cat’s claw (i.e. polyphenols and proanthocyanidins) as we have previously shown (Snow et al. in Sci Rep 9:561, 2019). Memory-support dietary supplements tested that also contained polyphenols and/or cat’s claw in their product demonstrated some Aβ fibril and tau protein tangle reducing activity, but were much less effective than percepta. Percepta’s main ingredient, PTI-00703 cat’s claw, has previously been shown to reduce brain amyloid plaques and Aβ 1–42/40 insoluble/soluble levels in brain (in plaque-producing transgenic mice) with marked concurrent memory improvements (shown by Morris water maze testing) (Snow et al. in Sci Rep 9:561, 2019). The present investigation further confirms that percepta is one of the best dietary supplements that causes a marked reduction and inhibition of Aβ fibrils and tau tangle filaments -two important major targets for memory-support. In addition, PTI-00703 cat’s claw was the most effective cat’s claw (Uncaria tomentosa) ingredient for reducing /disaggregating and inhibiting Aβ 1–42 fibrils and tau protein paired helical/straight filaments in comparison to 17 other manufacturers of cat’s claw extracts tested.


Electronics ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 185
Author(s):  
Gonzalo Nicolas-Barreales ◽  
Aaron Sujar ◽  
Alberto Sanchez

Molecular dynamics simulations take advantage of supercomputing environments, e.g., to solve molecular systems composed of millions of atoms. Supercomputers are increasing their computing and memory power while they are becoming more complex with the introduction of Multi-GPU environments. Despite these capabilities, the molecular dynamics simulation is not an easy process. It requires properly preparing the simulation data and configuring the entire operation, e.g., installing and managing specific software packages to take advantage of the potential of Multi-GPU supercomputers. We propose a web-based tool that facilitates the management of molecular dynamics workflows to be used in combination with a multi-GPU cloud environment. The tool allows users to perform data pipeline and run the simulation in a cloud environment, even for those who are not specialized in the development of molecular dynamics simulators or cloud management.


Author(s):  
Meryem M. Benosman ◽  
Hmaeid Shaiek ◽  
Yassin Bendimerad ◽  
Rafik Zayani ◽  
Daniel Roviras ◽  
...  

2020 ◽  
Vol 10 (20) ◽  
pp. 7256
Author(s):  
Ijaz Ali ◽  
Yong-Il Jo ◽  
Seonah Lee ◽  
Wan Yeon Lee ◽  
Kyong Hoon Kim

In this paper, we study energy minimization consumption of a mixed criticality real-time system on uni-core. Our focus is on a new scheduling scheme to decrease the frequency level in order to conserve power. Since many systems are equipped with dynamic power and frequency level memory, power can be saved by decreasing the system frequency. In this paper, we provide new dynamic energy minimization consumption in mixed-criticality real-time systems. Recent research has been done on low-criticality mode for power reduction. Thus, the proposed scheme can reduce the energy both in high-criticality and low-criticality modes. The effectiveness of our proposed scheme in energy reduction is clearly shown through simulations results.


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