Automatic detection of icing wind turbine using deep learning method

Hasan Basri Başağa,Hasan Basri Başağa,Selen Ayas,Mohammad Tordi Karimi 한국풍공학회 2022 Wind and Structures, An International Journal (WAS Vol.34 No.6

Detecting the icing on wind turbine blades built-in cold regions with conventional methods is always a very laborious, expensive and very difficult task. Regarding this issue, the use of smart systems has recently come to the agenda. It is quite possible to eliminate this issue by using the deep learning method, which is one of these methods. In this study, an application has been implemented that can detect icing on wind turbine blades images with visualization techniques based on deep learning using images. Pre-trained models of Resnet-50, VGG-16, VGG-19 and Inception-V3, which are well-known deep learning approaches, are used to classify objects automatically. Grad-CAM, Grad-CAM++, and Score-CAM visualization techniques were considered depending on the deep learning methods used to predict the location of icing regions on the wind turbine blades accurately. It was clearly shown that the best visualization technique for localization is Score-CAM. Finally, visualization performance analyses in various cases which are close-up and remote photos of a wind turbine, density of icing and light were carried out using Score-CAM for Resnet-50. As a result, it is understood that these methods can detect icing occurring on the wind turbine with acceptable high accuracy

Analytical study of phenotypic and biochemical attributes of onion cultivars in relation to infestation of onion thrips, Thrips tabaci

Basri Rabiya,Ansari Mohd Shafiq 한국응용곤충학회 2021 Journal of Asia-Pacific Entomology Vol.24 No.3

Onion thrips is a major threat to onion crop throughout the world. It is a potential vector of Iris yellow spot virus and causes significant economic damage to bulb production. Phenotypic and biochemical traits of onion cultivars were assessed against Thrips tabaci. Onion Gawran LR-241 (OG) cultivar was tolerant against the infestation of T. tabaci whereas Onion White (OW) was susceptible. Number and size of stomata, cuticle thickness, cell wall thickness and surface wax of onion leaves were studied with the help of scanning electron microscope and quantitative and qualitative analysis was carried out to estimate epicuticular wax and other bio-chemical components through GC/MS. Onion Gawran has thick cell wall, sharp and dense wax crystals, wider central angle and small sized stomata compared to other cultivars. Epicuticular wax components of OG cultivar were heptacosane (5.2%), octacosanol-1 (9.2%), 2-methyl octacosane (4.2%), heptadecanol-1 (5.2%), hexacosanol-1 (4.2%), azulene, 1,4-dimethyl-7-(1-methylethyl) (36.9%), hexadecanoic acid (1.95%), heptadecane (4.2%), triacontanol-1 (5.8%) and hentriacontanone-16 (23.40%). Azulene, 1, 4-dimethy-l-7-(1-methy-l-ethyl) was only found 36.9% in OG but absent in other three cultivars. 2-methyl octacosane was absent in Poona Red Desi and OW cultivars. Hentriacontanone-16, 2-methyl octacosane, fatty alcohols (Octacosanol-1 and Triacontanol-1) and azulene, 1, 4-dimethy-l-7-(1-methy-l-ethyl) were effective in the formation of epicuticular wax in onion cultivars. It implies that phenotypic and biochemical characteristics of OG cultivar proved as resisting features to T. tabaci.

A Change Impact Analysis Tool for Software Development Phase

Sufyan Basri,Nazri Kama,Roslina Ibrahim,Saiful Adli Ismail 보안공학연구지원센터 2015 International Journal of Software Engineering and Vol.9 No.9

Accepting too many software change requests could contribute to expense and delay in project delivery. On the other hand rejecting the changes may increase customer dissatisfaction. Software project management might use a reliable estimation on potential impacted artifacts to decide whether to accept or reject the changes. In software development phase, an assumption that all classes in the class artifact are completely developed is impractical compared to software maintenance phase. This is due to some classes in the class artifact are still under development or partially developed. This paper extends our previous works on developing an impact analysis approach for the software development phase in automating the approach which we call it CIAT (Change Impact Analysis Tool). The significant achievements of the tool are demonstrated through an extensive experimental validation using several case studies. The experimental analysis shows improvement in the accuracy over current impact analysis results.

Investigating Factors Affecting the Business Management of Saudi Food Industry by SMART-PLS, Measurement, and Structural Equation Models: Moderating Role of Knowledge Management

Wael Basri 대한산업공학회 2019 Industrial Engineeering & Management Systems Vol.18 No.3

The purpose of the study is to investigate the influential factors for organizational performance at Saudi food companies. The study investigated the relationship between information system usage, their efficiency and effectiveness, top management support and technical resources as determinants of performance of firms. The moderating role of knowledge management was investigated between the relationships of constructs. The study examined the relationship between constructs and examined moderating effect. The data was collected through questionnaire from Saudi food companies. The data was analyzed by using SMART-PLS, measurement model and structural equation model was used for analyzing data and determine the relationships. The study found positive significant relationship between direct links, but moderating effect between top management support and knowledge management was rejected on the basis of statistical indicators. The study explains the relationships for determination of organizational performance, the study suggests to invest on information system, encourage support from top management and technical resources. Direct effect of knowledge management and moderating role is also explained in the study which serves as contribution in the body of knowledge.

A method for finding normal subgroups of Hecke groups

Hasan Basri Özdemir,Musa Demirci,Ismail Naci Cangül 장전수학회 2006 Proceedings of the Jangjeon mathematical society Vol.9 No.1

Hecke groups, being discrete groups, play an important role in abstract group theory and number theory. Their normal subgroups are studied in [2]: Here, using a result of D. Singerman [7]; we deduce a method of …nding normal subgroups of all Hecke groups. This method helps us to obtain the signature of these subgroups, and their abstract group structure can be obtained from this by means of the results in [1]: As a result, the abstract group structure of normal subgroups of Hecke groups corresponding to cyclic and dihedral quotients is obtained.1

A Novel Effort Estimation Approach for Requirement Changes during Software Development Phase

Sufyan Basri,Nazri Kama,Roslina Ibrahim 보안공학연구지원센터 2015 International Journal of Software Engineering and Vol.9 No.1

Managing software changes and achieving an effective change acceptance decision is one of the crucial factors in ensuring the software project success. Accepting too many changes will cause expense and delay and rejecting the changes may cause customer dissatisfaction. One of the inputs that help in achieving an effective change acceptance decision is by having reliable estimation on the change effort. From software development perspective, the estimation has to take into account the inconsistent states of software artifacts across project lifecycle i.e., fully developed or partially developed. These inconsistent states require different ways of estimation such as the fully developed artifacts may have different calculation compared to the partially developed artifacts. Many change effort estimation approaches have been developed and one of them is using impact analysis. One main challenge of this technique from software development perspective is that this technique is specifically used for software maintenance phase in which all software artifacts have been completely developed. This research introduces a new change effort estimation approach that is able to use different estimation techniques for different states of software artifacts. The outcome of this research is a new change effort estimation approach for software development phase using the extended version of the static and dynamic analysis techniques from our previous works.

CD1d deficiency limits tolerogenic properties of peritoneal macrophages

( Fathihah Basri ),( Sundo Jung ),( Se Hoon Park ),( Se-ho Park ) 생화학분자생물학회(구 한국생화학분자생물학회) 2021 BMB Reports Vol.54 No.4

Invariant natural killer T (iNKT) cells are involved in various autoimmune diseases. Although iNKT cells are arthritogenic, transforming growth factor beta (TGFβ)-treated tolerogenic peritoneal macrophages (Tol-pMψ) from wild-type (WT) mice are more tolerogenic than those from CD1d knock-out iNKT cell-deficient mice in a collagen-induced arthritis (CIA) model. The underlying mechanism by which pMφ can act as tolerogenic antigen presenting cells (APCs) is currently unclear. To determine cellular mechanisms underlying CD1d-dependent tolerogenicity of pMφ, in vitro and in vivo characteristics of pMφ were investigated. Unlike dendritic cells or splenic Mφ, pMφ from CD1d^+/- mice showed lower expression levels of costimulatory molecule CD86 and produced lower amounts of inflammatory cytokines upon lipopolysaccharide (LPS) stimulation compared to pMφ from CD1d-deficient mice. In a CIA model of CD1d-deficient mice, adoptively transferred pMφ from WT mice reduced the severity of arthritis. However, pMφ from CD1d-deficient mice were unable to reduce the severity of arthritis. Hence, the tolerogenicity of pMφ is a cell-intrinsic property that is probably conferred by iNKT cells during pMφ development rather than by interactions of pMφ with iNKT cells during antigen presentation to cognate T cells. [BMB Reports 2021; 54(4): 209-214]

ASSESSING ACCOUNTABILITY OF LOCAL GOVERNMENT: THE CASE OF ACEH PROVINCE, INDONESIA

( Hasan Basri Afifuddin ),( A K Siti Nabiha ) 한국정책학회 2013 한국정책학회 학술대회 Vol.2013 No.2

The Indonesian government has introduced various initiatives to enhance accountability of its local governments. However, many local governments in Indonesia still suffer from financial scandals. It is not surprising that the issues of lack of accountability, mismanagement of resources, inefficiency and ineffectiveness of government institutions are repeatedly voiced by public media and corruption watchdog. The issue is more important in the Province of Aceh given that the special autonomy status has lead massive injection of financial resource in the region. Nevertheless, the institutions of local government presently do not have the capacity to effectively manage and spend their resources. Corruption is still a major problem of local government in Aceh. Hence, the problematic issues of accountability in the Aceh Local government specifically with regards to the lack of financial planning and budgeting and also the deficiencies in the financial reporting system are discussed in this paper. Several recommendations on how to improve governance and accountability of local government in Aceh are also provided in this paper.

Physicomechanical Properties Enhancement of Fast-Growing Wood Impregnated with Wood Vinegar Animal Adhesive

( Efrida Basri ),( Saefudin ),( Mahdi Mubarok ),( Wayan Darmawan ),( Jamal Balfas ),( Yelin Adalina ),( Yusuf Sudo Hadi ) 한국목재공학회 2023 목재공학 Vol.51 No.6

This study is a continuation of our previous work, which focused on the resistance of jabon wood to termites after impregnation with wood vinegar (WV) and animal-based adhesive (kak). This paper presents the physicomechanical properties of fast-growing jabon wood impregnated with kak at two concentrations (8% and 10%) in wood vinegar or water as a solvent with and without 4% borax. The physical properties of the impregnation solution, that is, viscosity, density, pH, and solid content, were evaluated according to SNI 06-4567-1998. Some physical parameters, such as weight percent gain (WPG), density, water uptake, anti-swelling efficiency (ASE), crystallinity, and mechanical properties, i.e., modulus of elasticity (MOE), modulus of rupture (MOR), and compression strength parallel to the grain (CS), of the impregnated wood were determined. Based on these results, wood impregnated using a mixture of kak in WV presented better physical (increased WPG, density, dimensional stability, and crystallinity) and mechanical (increased MOE/MOR and compression strength) properties than wood impregnated with a water solvent or untreated wood. The wood impregnated using WV and water solvent improved the physical and mechanical properties. The density of the wood increased by 44%-58% and 32%-47%, ASE radial-tangential increased by 38%-45%; 15%-28% after 24 h of water immersion, crystallinity increased by 59%-74%; 36%, MOE increased by 46%- 57%; 28%-31%, MOR increased by 29%-34%; 14%-27%, and compression strength increased by 40%-76%; 38%-72% values to untreated wood.

An improved response surface method for reliability analysis of structures

Basaga, Hasan Basri,Bayraktar, Alemdar,Kaymaz, Irfan Techno-Press 2012 Structural Engineering and Mechanics, An Int'l Jou Vol.42 No.2

This paper presents an algorithm for structural reliability with the response surface method. For this aim, an approach with three stages is proposed named as improved response surface method. In the algorithm, firstly, a quadratic approximate function is formed and design point is determined with First Order Reliability Method. Secondly, a point close to the exact limit state function is searched using the design point. Lastly, vector projected method is used to generate the sample points and Second Order Reliability Method is performed to obtain reliability index and probability of failure. Five numerical examples are selected to illustrate the proposed algorithm. The limit state functions of three examples (cantilever beam, highly nonlinear limit state function and dynamic response of an oscillator) are defined explicitly and the others (frame and truss structures) are defined implicitly. ANSYS finite element program is utilized to obtain the response of the structures which are needed in the reliability analysis of implicit limit state functions. The results (reliability index, probability of failure and limit state function evaluations) obtained from the improved response surface are compared with those of Monte Carlo Simulation, First Order Reliability Method, Second Order Reliability Method and Classical Response Surface Method. According to the results, proposed algorithm gives better results for both reliability index and limit state function evaluations.