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Fall Detection Using Adaptive Neuro-Fuzzy Inference System
Fardin Abdali-Mohammadi,Mino Rashidpour,Abdolhossein Fathi 보안공학연구지원센터 2016 International Journal of Multimedia and Ubiquitous Vol.11 No.4
A factor seriously endangers the people health is falling, particularly for patients and the elderly. Fall detection systems contribute in preventing the consequences of the late medical aid and injuries endangering the people health. The main problem within fall detection systems is how to correctly distinguish between a fall and the other daily activities. There are various types of fall detection systems each of which has different advantages and disadvantages. Wireless motion-sensor based systems such as accelerometer and gyroscope provide higher efficiency with lower limits. This study introduces a new fall detection method employing motion sensors in smart phones to collect data due to the ease of access and application. To provide high efficiency for people with various ages and conditions, this method also takes advantages of adaptive-fuzzy neural networks for learning and inference. These methods correctly detect all 4 types of fall from 9 main daily activity groups.
Karar Abdali 한국전기전자재료학회 2022 Transactions on Electrical and Electronic Material Vol.23 No.5
The piezoelectric phenomena uses in various helpful applications, such as printing of piezoelectric inkjet, the detection of sound and the production of high voltage electricity in different electronic devices. In present research, polyethylene oxide (PEO), poly(methyl methacrylate) (PMMA) and poly(N-vinyl pyrrolidone) (PVP) were separately dissolved in deionized water. These polymers were mixed with ratio of 0.6:0.2:0.2 wt%, respectively before loaded with 0.0, 0.02, 0.04 and 0.06 wt% of zirconium dioxide nanoparticles (ZrO 2 NPs) via casting method to prepare nanocomposite (NCs) films. The optical microscope (OM) showed good diffused of the NPs into matrix with homogenous distribution. The functional groups of k1 specimen were diagnosed via Fourier transformation infrared (FTIR). The ultrasonic wave (USW) properties were studied for k1 specimen with various frequencies (25, 30, 35, 40 and 45) kHz. The USW coefficients were clearly aff ected by the frequency varied. The USW coefficients decreased with increasing the frequency except the compressibility. The dielectric constant of the k1 sample was notable improved up to 85% with increasing of applied load. The k1 specimen was succeeded to be used as USW sensor. New NCs film presented as promising material for wide electrical and mechanical applications.
Ramezani, Mazaher,Abdali, Elham,Khazaei, Sedigheh,Vaisi-Raygani, Asad,Sadeghi, Masoud Asian Pacific Journal of Cancer Prevention 2016 Asian Pacific journal of cancer prevention Vol.17 No.3
The tumor suppressor p16 is a biomarker for transforming human papilloma virus (HPV) infections that can lead to contradictory results in skin carcinomas. The aim of this study was to evaluate p16 expression and HPV-16 infection in the cutaneous basal cell carcinoma (BCC) and squamous cell carcinoma (SCC). This case-control study was performed on paraffin blocks of BCCs and SCCs and normal skin (53, 36, and 44 cases, respectively), between 2006 to 2015. Initial sections for groups were stained with hematoxylin and eosin (H & E). Immunohistochemistry was performed for p16 expression and human papilloma virus type 16 (HPV-16) infection. Normal group was skin of mammoplasty specimens and normal skin tissue in the periphery of tumors. The mean age at diagnosis was 42.1, 61.7 and 71.4 years for normal, BCC and SCC groups, respectively. P16 positivity was more in SCC and BCC groups compared to normal group (P<0.05) and HPV was negative in all patients in three groups. Also, the mean age at diagnosis and P16-positivity were higher for the SCC group than the BCC group (P<0.005). In conclusion, in non-melanoma skin cancers (SCC and BCC), p16-positivity can be a prognostic factor but there is no correlation between HPV-16 and p16 in these tumors.
Ali Rajabpour,Ali Reza Abdali Mashahdi,Mohammad Reza Ghorbani 한국응용곤충학회 2019 Journal of Asia-Pacific Entomology Vol.22 No.1
Botanical insecticides have long been considered as alternatives to synthetic chemical insecticides in IPM programs. Effects of aqueous and ethanolic extracts obtained from buttonwood, Conocarpus erectus L. (Combretaceae), leaves on a major kind of stored product pests, Tribolium castaneum Herbst (Coleoptera: Tenebrionidae), were evaluated under laboratory conditions. For this purpose, LC 50 , repellency, antifeedant properties, and some biological effects (including body weight, immature developmental time and survival) of the insect were determined. The aqueous and ethanolic extracts were highly toxic to the larvae and adults. Calculated LC 50 values ranged between 2.6 and 193.4 (g/kg). Both extracts had repellent and antifeedant properties against the adults. The extracts adversely affected the larval and pupal weights, developmental time, and survival. Aqueous extracts were more effective only for the LC 50 values and only in females. All other measured parameters do not differ between the two extracts. The bioactive properties might be related to high amounts of alkaloid, phenol and tannin. Aqueous extract of the plant leaves may be a useful alternative for chemical insecticides.
An Intelligent Similarity Model between Generalized Trapezoidal Fuzzy Numbers in Large Scale
Mohamedou Cheikh Tourad,Abdelmounaim Abdali 한국지능시스템학회 2018 INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGE Vol.18 No.4
The rapid expansion of data published on the web has given rise to the similarity problem on a large scale, a very important subject for scientific research in the field of computer science. Several methods have been developed for this. In this paper, we propose the first mathematical model to find the similarity value between generalized trapezoidal fuzzy numbers (GTFNs). This model employs fuzzy inference systems to find the value of an effective weighting, the weights to be associated to different kinds of methods that can handle an important scale of the data. This model will allow us to develop intelligent systems. A comparative study based on 21 sets of GTFNs has been carried out to demonstrate the difference between our approach and existing methods. This study shows that our model is more reasonable than existing methods
Developing High Performance Web Execution Model Using OOPS and Procedural Programming
Mansee Jain,Devashish Puri,Ahmad Shah Abdali 보안공학연구지원센터 2015 International Journal of Software Engineering and Vol.9 No.7
Now, human progress is on the verge of virtual world with the introduction of YouTube, Wikipedia and Facebook. In this work, we are using the best feature of both OOPs and Procedural Programming in order to achieve the goal of developing high performance web execution model. Client and server are integral part of any web-based model. Here, we are integrating compiler and program in web based model and finally come with high performance web execution model. High performance system means taking less time in compare to other existing traditional models. Many web based service like YouTube and Wikipedia are benefitted by taking advantage of our laziness. We want everything on the go, just in our hand-held computer. This work is also solving the beginners’ laziness problems like setup of Programming Environment such as compilers etc. If our education system is being shifted online, then this may turn out a big setback in learning process. Thus, we are providing compiler on the go so that the learning process is not interrupted by unavailability of resources (Our whole system is client-side) and of course by the laziness of people.
Iman Ghadyeh Zarrinabadi,Jamshid Razmjoo,Alireza Abdali Mashhadi,Hassan Karimmojeni,Te-Ming Tseng 한국원예학회 2019 Horticulture, Environment, and Biotechnology Vol.60 No.4
Managed irrigation water may induce industrially desirable metabolites in pot marigold. Thus, the effects of three irrigation regimes (35% [I1], 60% [I2], and 85% [I3] depletion of the available soil water) on the yield, irrigation water use efficiency, and secondary metabolite content of nine pot marigold genotypes were examined during 2015 to 2016 and 2016 to 2017 growing seasons in Ahwaz, Iran. Carotenoid, alkaloid, and flavonoid contents as well as antioxidant activity increased under I2 and I3 treatments, while phenol content increased under I2 and reduced under I3 treatments. The Isfahan2 genotype produced the highest flavonoid content under I1 and I2 and the highest phenol content under I1, I2, and I3. The Zen-gold genotype produced the highest flavonoid content under I3. The highest carotenoid content was obtained under I1 and I2, while the highest alkaloid content was detected under I3 in Tehran. The Gitana genotype contained the highest carotenoid content under I3, while Isfahan1 produced the highest alkaloid content under the I1 irrigation regime. Gitana under I2 and Zen-gold under I3 had the highest antioxidant activity. Gitana under I1 and I3 and Candy-man under I2 had the highest extract content. The Candy-man genotype produced the highest petal yield and extract yield under I1, I2, and I3 irrigation regimes. The results from our findings suggest that the production of secondary metabolites in pot marigold was dependent on metabolite, genotype, and irrigation regime. The results also demonstrate that drought had positive effects on measured metabolites, especially under the I2 irrigation regime, but a negative effect on dry petal yield and extract yield. Thus, the number and amount of irrigation could be reduce while metabolite contents increase under selected irrigation regimes and genotypes.