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Koleksiyondaki öğeler
- MakaleYalnız künye2023Scopus SJRQ1Fixed-time neuro-sliding mode controller design for quadrotor UAV transporting a suspended payload
Bingöl, Özhan; Güzey, Hacı Mehmet
This study develops a fixed-time neuro-sliding mode controller to enhance the transient response and robustness of a quadrotor that is subjected to external disturbances and parameter uncertainties along with the dynamics of a suspended payload. A simple neural network with a fixed-time adaptive law is used to estimate unknown dynamics; therefore, no previous knowledge of dynamics is required to develop controllers. The neural network component will also help to eliminate the chattering effect of the sliding mode controller through its learning structure. Fixed-time convergence to desired trajectories is proven by detailed theoretical analysis based on the Lyapunov stability theorem, and to show the proposed controller's effective performance, thorough numerical simulations are run.
AtıfScopus31WoS26OpenAlex28
İncele - MakaleYalnız künye2023Scopus SJRQ2Bioactive properties of vinegars produced from prunus laurocerasus L. varieties
Yilmaz, Kubra; Baltaci, Cemalettin; Ozturk, Seyda; Karpuz, Omer
BACKGROUND: Cherry laurel fruit (CLF) has distinctive bioactive properties, which may yield new food products based on CLF. OBJECTIVE: This research aimed to realize the production of vinegar from the CLF, thus, valorizing the CLF, which is rich in antioxidants and phenolic substances, and bringing a new nutrient-rich vinegar to the market. METHODS: Seven types of traditional CLF vinegar (CLFV) from three different species were produced, and their bioactive properties were examined. The bioactivity analyses of total phenolic substance (TPC), total flavonoid (TFC), total antioxidant activity (AA), DPPH (Free radical scavenging activity), FRAP (Ferric reducing antioxidant power), ABTS + (Radical cation scavenging effect) were conducted. In addition, the composition of phenolic substances was studied. RESULTS: This study showed that CLFV performed better than controls regarding antioxidant activity, phenolic compounds, and substances. The presence of intense phenolic elements in CLFV significantly impacts its antioxidant activity. The antioxidant activities of CLFV were detected to be greater than the previous reports on bioactivities of vinegar from various fruits. CONCLUSIONS: High antioxidant and phenolic content were observed in CLFV, similar to the composition of the CLF. The usability of CLFV as a healthy and nutritious food product seems achievable on an industrial scale.
AtıfScopus13WoS12OpenAlex8İncele - MakaleAçık Erişim2022Scopus SJRQ2Optimization of three-element tuned mass damper based on minimization of the acceleration transfer function for seismically excited structures
Araz, Onur
The three-element tuned mass damper (T-TMD) is an effective passive control device for single-degree of freedom structures due to harmonic external force. Unlike previous studies, this study aims at proposing a methodology for optimization of T-TMD positioned at the top floor of multi-degree of freedom structures under seismic loads. The equations of motion for a multi-story building controlled by a T-TMD are derived, and the T-TMD is then optimized using an advanced firefly algorithm (AFA) in the frequency domain. The aim of the optimization is to minimize the amplitude of the acceleration transfer function of the top floor of the building. The proposed methodology is implemented in two different shear buildings, and the optimum parameters are then verified by using benchmark earthquakes with different frequency components. The comparisons with the available works illustrate the availability of the AFA. The effect of the mass ratio on the optimum parameters of the T-TMD is also discussed in detail. Numerical results show that the use of the optimum T-TMD is an effective strategy to minimize the maximum structural responses of the multi-story buildings under seismic excitations. In particular, the optimum T-TMD is very effective when the maximum story responses (i.e., displacement and acceleration) occur at the top floor of the building.
AtıfScopus28WoS27OpenAlex27İncele - MakaleAçık Erişim2024Scopus SJRQ4Examination of Mental Stamina and Athlete Injury Anxiety Levels of Wrestlers
Ünlü, Çisem; Çevi̇Ker, Abdulkerim; Turgut, Abdüsselam; Kusan, Osman; Tezcan, Efecan; Gür, Kübra; Yildirim, Turgut
The aim of this research is to examine the mental endurance and athlete injury anxiety levels of athletes interested in wrestling from some demographic perspectives. In the study, a descriptive scanning model was used. The universe of the research consists of athletes from various cities of Turkey who are interested in wrestling, and the sample consists of 341 athletes selected by random sampling method among wrestling athletes from Ankara, Gümüşhane, Istanbul, Samsun and İzmir, Kayseri. As a data collection tool, the demographic information form developed by the researchers was used "Athlete Injury Anxiety Scale". In the study, the assumption of normality was first examined with the Kolmogorov-Smirnov and Shapiro-Wilk tests in the statistical evaluation of the data. The research findings were given as n (%), mean and standard deviation values, and the findings were considered significant at the p<0.05 level. In the study, there was no significant relationship between age, undergraduate status and educational status variables, athlete injury anxiety levels and mental toughness levels; When the athlete's age, athlete's injury status, gender, number of nationality variables were examined, it was determined that there was a significant difference in some sub-dimensions of the mental toughness inventory and in the total scores of the scale. As a result, it can be said that demographic variables such as age, gender, being a national athlete are effective on the mental endurance and disability anxiety of the athletes.
AtıfScopus4OpenAlex2İncele - MakaleYalnız künye2023Scopus SJRQ1The Association Between Personal, Affective, and Cognitive Factors and Suicide Risk Among Muslims in Turkey
Yazıcı Çelebi, Gülin; Kaya, Feridun
This study was conducted to examine the association of various personal, affective, and cognitive factors with suicide risk. The study group consisted of a total of 423 individuals, including 341 (74%) females and 82 (26%) males, who lived in Turkey and declared that they were Muslims. The data of the study, in which a cross-sectional design was employed, were collected between October and December 2022. The mean age of the participants was 26.84 years (SD = 9.88, min–max = 18–64). The data collection measures included the Psychological Distress Scale, the Perception of God Scale, the Two-Dimensional Self-Esteem Scale, the Suicide Probability Scale, and a personal information form. Pearson correlation analysis and Hierarchical Multiple Linear Regression analysis were employed in the analysis of the data obtained from the research. In the study, it was found that gender, age, suicide attempt, communication with the mother, communication with the father, psychological distress, self-esteem, and perception of God explained 58% of the variance in suicide risk. Psychological distress had the strongest positive association with suicide risk (β = 0.136, p < 0.001), while self-esteem had the strongest negative relation (β = − 0.454, p < 0.001). In conclusion, it was determined that the female gender, suicide attempt, and psychological distress increased the risk of suicide, but that age, positive communication with parents, self-esteem, and positive perception of God decreased it. The findings of the research were discussed in light of the literature.
AtıfScopus2WoS2OpenAlex4
İncele - MakaleAçık Erişim2023Shear strength estimations and shear designs on RC beams with limited ductility by FL and FIL methods; [BM ve BTM yöntemleri ile sınırlı sünekliğe sahip betonarme kirişlerde kesme dayanımı tahmini ve kesme tasarımı]
Öztekin, Ertekin
In this study, a fuzzy logic model was constituted by using the Fuzzy Logic (FL) method, which is one of the traditional artificial intelligence (AI) methods, in order to estimate the shear strength of reinforced concrete (RC) beams with limited ductility. In this model, beam width(bw), beam height(h), characteristic concrete compressive strength(fck), transverse reinforcement diameter(ØT), the number of arms bearing the shear force of the transverse reinforcement(n) and transverse reinforcement spacing(s) were taken into account as variable parameters. The model developed by using the problem data containing the solutions of shear force strength of 2640 beams with different cross-section properties were tested with 480 beam solutions different from these data. In the tests of the developed FL model, maximum percentage error, minimum percentage error, average percentage error and correlation coefficient values were obtained as 3.604,-0.091, 1.514 and R2=0.999678. By applying the fuzzy inverse logic method (FIL), which was recently developed by the author of this study, on the FL model, which is seen to have been developed quite sensitively from the test results, a total of 521 designs were obtained for 15 different RC beams with limited ductility subjected to shear. In order to check the accuracy of these designs, after shear strengths were obtained by conventional computations for these designs, % error and correlation coefficients were computed between the obtained strength values and the shear force values taken into account for the design. The promising results show that the FIL method can be used in the design of RC beams under shear force and even in other scientific studies such as design, optimization and control.
AtıfScopus1OpenAlex2
İncele - MakaleYalnız künye2024Scopus SJRQ2Sulfonamide derivatives with benzothiazole scaffold: Synthesis and carbonic anhydrase I–II inhibition properties
Öztürk, Cansu; Kalay, Erbay; Gerni, Serpil; Balci, Neslihan; Tokali, Feyzi Sinan; Aslan, Osman Nuri; Polat, Emrah
The secondary sulfonamide derivatives containing benzothiazole scaffold (1–10) were synthesized to determine their inhibition properties on two physiologically essential human carbonic anhydrases isoforms (hCAs, EC, 4.2.1.1), hCA I, and hCA II. The inhibitory effects of the compounds on hCA I and hCA II isoenzymes were investigated by comparing their IC50 and Ki values. The Ki values of compounds (1–10) against hCA I and hCA II are in the range of 0.052 ± 0.022–0.971 ± 0.280 and 0.025 ± 0.010–0.682 ± 0.335, respectively. Some of these inhibited the enzyme more effectively than the standard drug, acetazolamide. In particular, compounds 5 and 4 were found to be most effective on hCA I and hCA II.
AtıfScopus13WoS11OpenAlex13İncele - MakaleYalnız künye2022Scopus SJRQ1Effect of front, lateral and back dead layer thicknesses of a HPGe detector on full energy peak efficiency
Kaya, Selim; Çeli̇k, Necati; Bayram, Tuncay
As well known, High Purity Germanium (HPGe) detectors have a wide range of applications in every area where radiation detection and measurements are involved. One of the most important parameters in this respect is the determination of the full energy peak (FEP) efficiency. There are certain parameters affecting the so-called FEP efficiency. Perhaps the most important one is the thickness of dead layers of the crystal itself. In the current study, we investigated the effects of the thickness of front, lateral and back dead layer thicknesses of the detector crystal on the FEP efficiencies for the energy range 30 keV–5 MeV using EGS4 Monte Carlo simulation package. It was shown that the change in the thickness of the front dead layer has significant effect on the efficiency values for the energy interval 30–400 keV. The change in the thickness of the lateral and back dead layer was shown to have significant effects on the efficiencies for the energy intervals 2–3 MeV and 3–5 MeV, respectively. The results were checked using GEANT4 and a good agreement was observed.
AtıfScopus31WoS27OpenAlex36İncele - MakaleYalnız künye2024Scopus SJRQ2Is environment destiny? Spatial analysis of the relationship between geographic factors and obesity in Türkiye
Yılmaz, Hacı Ömer; Günen, Mehmet Akif
This study aims to evaluate the relationship of geographical factors, including precipitation, slope, air pollution and elevation with adult obesity prevalence in Türkiye (TR) using a cross-regional study design. Ordinary least squares (OLS) and geographically weighted regression (GWR) were performed to evaluate the spatial variation in the relationship between all geographic factors and obesity prevalence. In the model, a positive relationship was found between obesity prevalence and slope, whereas a negative significant relationship was determined between obesity prevalence and elevation (p < 0.05). These results, revealing spatially varying associations, were very useful in refining the interpretations of the statistical results on adult obesity. This research suggests that geographical factors should be considered as one of the components of the obesogenic environment. In addition, it is recommended that national and international strategies to overcome obesity should be restructured by taking into account the geographical characteristics of the region.
AtıfScopus4WoS4OpenAlex5İncele - MakaleAçık Erişim2024Scopus SJRQ3PRODUCTION OF DEEP-FRIED WHEAT CHIPS USING PURPLE WHEAT FLOUR: PHYSICOCHEMICAL, TEXTURAL, SENSORY PROPERTIES AND OPTIMIZATION
Kaya, Şemsettin; Yuksel, Ferhat
The aim of this study was to develop alternative and healthy deep-fried chips by fortifying wheat chips with purple wheat flour (PWF). The effect of process variables (PWF content: 0-100%, frying temp. and time: 170-190 °C and 40-60 s) on the physicochemical, textural, instrumental color, sensorial properties, and optimization of the chips were investigated using response surface methodology. The levels of PWF in the chips receipt dramatically reduced oil uptake (by 23%), whereas the protein content of chips increased of the end products. The instrumental hardness of the enriched chips increased while sensory firmness decreased with increasing PWF. Generally, the chips enriched with PWF received the highest overall acceptability score by the panelists. Higher desirability (optimization results) and the process variables were determined as a 0.73 and 92.72 g/100g PWF, 170 °C, 40 s, respectively. These findings show that PWF can be easily incorporated into products that involve deep-fried chips.
AtıfScopus1WoS1İncele - MakaleAçık Erişim2023Scopus SJRQ1Leveraging blockchain in response to a pandemic through disaster risk management: an IF-MCDM framework
Peker, Iskender; Ar, Ilker Murat; Erol, Ismail; Searcy, Cory
The COVID-19 pandemic has underscored the necessity for strategic approaches to manage global catastrophes. This study argues that disaster risk management (DRM) is an essential approach to mitigate the impact of global calamities, such as a pandemic. However, due to the uncertainty emerging from variables such as time and demand, managing DRM effectively involves high complexity. Blockchain technology (BcT) can be implemented to help address these challenges due to its potential to build trust, transparency, and accountability in complex operations. However, no research has quantitatively examined the applicability of BcT in the sub-dimensions of DRM to address the COVID-19 pandemic. The goal and scope of this study is to explore the role of BcT in DRM operations during the COVID-19 pandemic through an Intuitionistic Fuzzy Multi-Criteria Decision Making (IF-MCDM) framework. More specifically, the Intuitionistic Fuzzy Analytic Network Process (IF-ANP) method was utilized to calculate the weights of key criteria (i.e., BcT benefits), while Intuitionistic Fuzzy VIKOR (IF-VIKOR) was used to prioritize the alternatives (i.e., the sub-dimensions of DRM). The findings of this study are threefold. First, supporting effective coordination turned out to be the most essential benefit of BcT to build resilience in response to the COVID-19 pandemic. Second, disaster management was found to be the most appropriate DRM sub-dimension for possible BcT implementation during the COVID-19 pandemic. Lastly, eleven distinct activities involved in disaster management and governance and financial protection were discovered to be the most applicable for BcT. The findings of this study could assist disaster risk managers to assess whether (or not) BcT is suitable for the sub-dimensions of DRM to build national and organizational resilience in the wake of the COVID-19 pandemic.
AtıfScopus27WoS22OpenAlex34İncele - MakaleAçık Erişim2022Scopus SJRQ2Innovative polygon trend analyses with star graph for rainfall and temperature data in agricultural regions of Turkey
Acar, Emine; Kankal, Murat; Akçay, Fatma; Şan, Murat
Agriculture is affected by climate change, such as extreme increases or decreases rainfall and temperature patterns. It is possible to research that effect by using trend analysis methodologies. This paper investigates trends of monthly total rainfall and mean temperature data of nine selected stations from agricultural regions of Turkey between 1969 and 2020. To the end, the classical Mann–Kendall, Innovative Trend Significance Test (ITST), and Innovative Polygon Trend Analysis (IPTA) with Star Graph methods providing the opportunity to examine seasonal behavior were used for trend analysis. The analysis reveals that about 96% of all monthly rainfall in the Mann-Kendall test has no trend. However, nearly all stations tend to decrease (increase) in November (September) in both innovative approaches. For temperature, it is seen that increasing trend or no trend dominated in general. There were increasing trends in the innovative approaches throughout the year except for April. Temperatures have increased significantly throughout the year in all regions over the last decades. With the help of IPTA, it was also concluded that the seasonal internal variability of rainfall over the entire time and in the last 30 years is quite complex and persists in all agricultural regions. The results show that irregular changes in rainfall and rising temperatures in all stations negatively affected crop yield and/or required more irrigation. In addition, according to the results obtained by comparing trend methods, innovative approaches are very insistent on determining of trend and provide additional information through a visual review of trend behaviors.
AtıfScopus22WoS22OpenAlex26İncele - MakaleAçık Erişim2023Scopus SJRQ1The psychological dimension of menopause: a phenomenological study: Being menopause in Turkey: a qualitative study
Uzun, Sevda; Ozcan, Handan; Jones, Duygu
This study aims to determine the perceptions of women in menopause living in Turkey regarding this period and associated problems, which has shown that some women are negatively affected by the menopause period and have difficulty coping with the effects of menopause. The study has a basic qualitative research design, and the sample was determined by using the criterion sampling method, one of the purposeful sampling methods. The effects and characteristics of menopause themes are included in the category of perception of menopause among women, and the themes of positive and negative perspectives are included in the category of perspective on menopause. It is reported that women experience feelings of fear, uncertainty, irritability, anxiety/worry, introversion, relaxation, and happiness during menopause. Our study has shown that some women are negatively affected by the menopause period and have difficulty coping with the effects of menopause.
AtıfScopus4WoS6OpenAlex6İncele - MakaleAçık Erişim2024Scopus SJRQ2Performance of different fibre types in alkaline-activated concrete produced with industrial wastes: volcanic rock powder and blast furnace slag
Aksüt, Yavuz Selim; Külekçi, Gökhan; Çullu, Mustafa; Yetgin, Şükrü
The objective of the study is to determine the effects of different fibre types and ratios on the mechanical and physical properties of alkali-activated concrete (AAC) and to optimise important properties such as workability, unit weight, water absorption, compressive strength, modulus of elasticity and abrasion resistance of these concretes. Concrete samples were produced using steel and polyester fibres at ratios of 0.25%, 0.50%, 0.75% and 1%. The fibre ratios were varied, and various tests were conducted to determine the mechanical and physical properties of the concrete samples. The experiments clearly revealed the effects of fibre types and ratios on the performance of concrete. These results clearly demonstrate the effects of different fibre types and ratios on the mechanical and physical properties of AACs. Particularly noteworthy is the water-retaining property of polyester fibres, their effect on workability and their enhancing effect on abrasion resistance. The effects of steel fibres on compressive strength and modulus of elasticity are more pronounced, but they may present disadvantages in terms of workability and abrasion resistance. It is observed that mixed fibre usage provides a good balance in some properties. This study provides a roadmap for evaluating sustainable material options in the concrete industry and guiding future research.
AtıfScopus4WoS3OpenAlex4İncele - MakaleAçık Erişim2024Scopus SJRQ2L0-Norm based Image Pansharpening by using population-based algorithms
Günen, Mehmet Akif; Pérez-Delgado, María-Luisa; Beşdok, Erkan
Earth observation satellites capture panchromatic images at high spatial resolution and multispectral images at lower resolution to optimize the use of their onboard energy sources. This results in a technical necessity to synthesize high-resolution multispectral images from these data. Pansharpening techniques aim to combine the spatial detail of panchromatic images with the spectral information of multispectral images. However, due to the discrete nature of these images and their varying local statistical properties, many pansharpening methods suffer from numerical artifacts such as chromatic and spatial distortions. This paper introduces the L0-Norm-based pansharpening method (L0pan), which addressed these challenges by maximizing the number of similar pixels between the synthesized pansharpened image and the original panchromatic and multispectral images. L0pan was optimized using a population-based colony search algorithm, enabling it to effectively balance both chromatic fidelity and spatial resolution. Extensive experiments across nine different datasets and comparison with nine other pansharpening methods using ten quality metrics demonstrated that L0pan significantly outperformed its counterparts. Notably, the colony search algorithm yielded the best overall results, highlighting the algorithm’s strength in refining pansharpening accuracy. This study contributed to the advancement of pansharpening techniques, offering a method that preserved both chromatic and spatial details more effectively than existing approaches.
AtıfScopus7OpenAlex5İncele - MakaleYalnız künye2023Scopus SJRQ2Natural Walls of Anatolia: formation and development of Diş Kayalıkları as a structural landform (Sivas, Türkiye)
Uzun, Ali; Aylar, Faruk; Zeybek, Halil İbrahim; Gürgöze, Serkan; Bahadir, Muhammet; Alemdağ, Selçuk
The Diş Kayalıkları is one of the largest and most striking examples of crests in the world and is located between Eskidere and Boğazören villages of the İmranlı district of the Sivas province in Türkiye. The crests, which resemble castle walls when viewed from afar, have a real wall pattern due to the right-angled crack system of the bedrock when viewed closely. This study aims at investigating the geomorphological features of the Diş Kayalıkları and determining how the geological and geomorphological evolution of the Diş Kayalıkları took place and how the current formation mechanism continues. In the region, the mid-latitude continental climate prevails with cold humid winters and warm dry summers. The bedrock consists of Miocene bedded deposits of different resistance, folded by young tectonic movements. Diş Kayalıkları was formed by selective erosion of less resistant terrain around a pack of resistant rock on the steeper southern slope of an asymmetrical anticline. It has a length of 4750 m in the approximately northwest-southeast direction, a maximum height of 30 m, and a width varying between 5 and 8 m. In the present morphological appearance of the Diş Kayalıkları, it can be stated that the structure formed after the tectonic formation process was eroded under the control of the local climate and crest formation was realized. In the following process, the crest experienced a polycyclic process where different landforms were formed. There are smaller landforms such as karren, cave and rock window on Diş Kayalıkları, and macrofossil beds in some places. This highly attractive geomorphosite, unknown to wider public, should be investigated from various scientific aspects and should be brought to regional tourism by making the necessary infrastructure and promotion studies.
AtıfScopus1WoS2OpenAlex2İncele - MakaleAçık Erişim2024Scopus SJRQ2Impact of Preoperative Progressive Relaxation Exercises on Postoperative Pain, Comfort, and Recovery : A Randomized Controlled Trial
Kulakaç, Nurşen; Sayılan, Aylin Aydın
This randomized controlled trial aimed to investigate the impact of preoperative progressive relaxation exercises on postoperative pain, comfort, and quality of recovery. The study was conducted between June and November 2023, involving 68 patients undergoing surgical intervention and hospitalized in the surgical clinic. Data were collected using the Personal Information Form, the Visual Analog Scale (VAS)-Pain, the Perianesthesia Comfort Scale, and the Quality of Recovery Questionnaire. At the sixth postoperative hour, no significant difference was observed in pain levels between the experimental and control groups (P > .05). However, the VAS scores for the experimental group at the 12th and 24th postoperative hours were significantly lower than those of the control group (P < .001). Furthermore, 24 hours postoperatively, the experimental group demonstrated significantly higher quality of recovery (P < .001) and comfort levels (P < .001) than the control group. This study concludes that patients engaged in relaxation exercises exhibited lower VAS scores and higher levels of recovery and comfort.
AtıfScopus2WoS1OpenAlex3İncele - MakaleAçık Erişim2024EVALUATION OF CONSUMERS’ USE OF SMART ROBOTIC VACUUM CLEANERS UNDER EXTENDED EXPECTATIONCONFIRMATION MODEL; [VREDNOVANJE PROVEDENO MEĐU POTROŠAČIMA PAMETNIH ROBOTSKIH USISAVAČA U OKVIRU PROŠIRENOGA MODELA POTVRDE OČEKIVANJA]
Avci, Ibrahim; Kocan, Mahmut; Kirmizibiber, Ahmet
Purpose – The present research study extends the Expectation-Confirmation Model (ECM) by focusing on satisfaction, continuance intention, and recommendation intention among smart robotic vacuum cleaner users. The impacts of battery life concern and perceived privacy factors on satisfaction and continuance intention of the smart robotic vacuum cleaner were investigated by adding the variables of battery life concern, perceived privacy, and recommendation intention in the ECM. Design/methodology/approach – The participants of this study consisted of smart robotic vacuum cleaner users in Turkey. The snowball sampling method, as one of the non-random sampling methods, was used to reach the participants; data was collected using an online survey created with Google Forms, asking the participants to share the survey link with people around them who have smart robotic vacuum cleaners. A total of 218 smart robotic vacuum cleaner users participated in the study between March 1 and May 1, 2023. Findings and implications – Structural equation modeling (SEM) was used as the data analysis technique in the study. While the ECM was confirmed as a result of the SEM analysis, an important finding was that consumers with battery life concerns intend to continue using the smart robotic vacuum cleaner despite a negative relationship between battery life concern and satisfaction. While the effect of perceived privacy on continuance intention was not significant, satisfaction was found to have a significant effect on continuance intention. Given that rtificial intelligence-related businesses face fierce competition, organizations that wish to prosper in this environment must excel in a variety of areas, ranging from product design to marketing and from sales policies to post-sales assistance. Considering the findings, determining the factors that affect the satisfaction and intention to continue using robot vacuum cleaners will be a guide for smart robot vacuum cleaner manufacturers and marketers. At the same time, the fact that the issue has been investigated within the framework of a model will also make significant contributions to the literature. Limitations – Different factors influence smart robotic vacuum cleaner users’ satisfaction and desire to continue using them, but only battery-life concerns and perceived privacy variables were incorporated into the ECM model in this research study. Another limitation is connected to the research sample. Because the snowball sampling method was employed to obtain data for the research, its findings cannot be generalized as they cover only smart robotic vacuum cleaner users who participated in the survey. Originality/value – The ECM employed in the study was expanded by including the variables of battery-life concern, perceived privacy, and recommendation intention. A general lack of information among potential consumers regarding artificial intelligence and smart robotic vacuum cleaners, which is highly fascinating and a source of curiosity, as well as the lack of research on this issue in the literature, underscore the significance of this research study. By integrating and expanding the ECM for application to consumers using smart robotic vacuum cleaners, this study adds a fresh viewpoint to the literature.
AtıfOpenAlex1İncele - MakaleAçık Erişim2023Scopus SJRQ2A green and simplified approach for the quantitative and sensitive analysis of heavy metal ions in sea and stream waters
Duran, Celal; Camoglu, Aslihan Yilmaz; Ozdes, Duygu; Bekircan, Olcay
Elimination of the matrix effect is a major challenge in developing a method for the quantification of heavy metals (HMs) in water samples. In this regard, the current research describes the simultaneous analyses of Cu(II), Cd(II), and Ni(II) ions in water matrices through flame atomic absorption spectrophotometry (FAAS) after preconcentration with carrier element-free co-precipitation (CEFC) technique by the help of an organic co-precipitant, 3-{[5-(4-Chlorobenzyl)-3-(4-chlorophenyl)-1H-1,2,4-triazol-1-yl]-methyl}-4-[2,4-(dichlorobenzylidene)amino]-1H-1,2,4- triazole-5(4H)-thione (CCMBATT). Based on our literature research, CCMBATT was employed for the first time in this study as an organic co-precipitant for the preconcentration of HMs. Factors such as solution pH, concentration of co-precipitant, sample volume, standing time, centrifugation rate, and time were thoroughly examined and optimized to achieve the highest efficiency in terms of HM recovery. The limits of detection (LODs) (with 10 number of tests) of 0.54, 0.34, and 1.95 μg L-1 and the relative standard deviations (RSD %) of 2.1, 3.3, and 3.0 were determined for Cu(II), Cd(II) and Ni(II) ions, respectively. Recovery results of HMs for the spiked samples were in the range of 92.8-101.0%, demonstrating the trueness of the method and its applicability to the water samples matrix.
AtıfScopus2WoS2OpenAlex1İncele - MakaleAçık Erişim2023Scopus SJRQ1Performance analysis of digitally controlled nonlinear systems considering time delay issues
Yanarateş, Cağfer; Okur, Serkan; Altan, Aytaç
In this paper, a comprehensive investigation into discretization, effective sample time selection considering delays in the system, and time and frequency domain analysis of a DC-DC buck converter, which plays a vital role in photovoltaic (PV) systems, is conducted to enhance the understanding of their dynamic behavior, optimize control algorithms, improve system efficiency, and ensure reliable power conversion in photovoltaic applications. To effectively address the non-linear behavior and enhance digital control of a buck converter by selecting the best sample time, several approaches can be employed. These include accurate modeling and identification of non-linear elements, development of advanced control algorithms that account for non-linearities, implementation of adaptive control techniques, and utilization of feedback mechanisms to compensate for deviations from linearity. By considering and mitigating the non-linear behavior, digital control systems can achieve improved accuracy, stability, and transient behavior in regulating the buck converter's output waveforms (voltage or current). The results of the study demonstrated that the trapezoidal integration method which is also known as bilinear approximation, or Tustin's approach outperformed other commonly used discretization methods, such as first-order hold (FOH), zero-order hold (ZOH), impulse response matching (impulse invariant), and matched pole-zero (MPZ) technique, in dual-domain (both time and frequency) analysis. The key finding highlighting the superiority of the bilinear approximation was its ability to achieve the closest match in the frequency domain bridging the continuous-time and discrete systems. This finding emphasizes the significance of the bilinear approach in preserving the frequency characteristics of the original continuous-time system during discretization. By employing this method, the discrete system closely approximated the behavior of its continuous-time counterpart, ensuring accurate frequency-domain representation.
AtıfScopus60WoS57OpenAlex58İncele
