Yazar "Lakestani, Sanaz" seçeneğine göre listele
Listeleniyor 1 - 9 / 9
Sayfa Başına Sonuç
Sıralama seçenekleri
Öğe Anlamsal sensor verileri için bilgi yönetim istemi(Institute of Electrical and Electronics Engineers, 2020) Aktaş, Özlem; Milli, Mehmet; Lakestani, Sanaz; Milli, MusaThe increasing number of wireless sensor networks, which are used extensively in industrial areas, has led to a tremendous increase in the data obtained from the sensors. This uncontrolled increase makes it difficult for managing and storing of data. Moreover, the lack of infrastructure to ensure the integrity of meaning between the data makes it impossible to share, reuse and interpret the data by machines. These inabilities can cause some problems like cannot managing together between separate wireless sensor networks due to the subtle variations in their sensing methods, operating systems, syntax, and data structure. To address all these problems, a semantic sensor network approach has been introduced which provides a common standard for sensor data and aims to enhance their meaning. In this study, semantic model with realworld usage from sensor networks measuring some laboratory parameters is proposed. In order to evaluate the proposed system, a series of semantic queries were prepared and applied to the obtained sensor data. The results show that sensor data can be managed on a common infrastructure using ontologies.Öğe Comparison of classical and sensor-based methods for determination of indoor air quality(Springer, 2024) Lakestani, Sanaz; Milli, MehmetPeople spend approximately 80% of their time indoors, which is why indoor air quality is important for human health in recent years. Instant determination of the changing indoor air quality, especially in public buildings, and implementing appropriate prevention measures is therefore necessary. One of the most important air pollutants is total volatile organic compounds. The purpose of this study was to measure simultaneously the concentration of total volatile organic compounds by two different methods; wireless sensor and passive sampling. The passive sampling period was chosen as one week, so samples were collected 4 times in one month. Passive samples were collected using Radiello stainless steel tubes in two different laboratories and were analyzed by thermal desorber and gas chromatography-mass spectrometer instrumentals. In the wireless sensor networks, data were collected every minute for a month at the same points in the same laboratories. The two methods were compared and the observed accuracy of the methods was about 5.89%. The classical method (passive sampling) is expensive and the result isn't prepared on time. In this paper, we offer a low-cost indoor air quality monitoring wireless sensor network system. Hence, the sensors record the results in real time, allowing us to observe changes immediately and intervene as needed. Therefore, in public places, the use of wireless sensor network systems will have a major positive impact in terms of saving time and money, as well as protecting the health of personnel.Öğe Comparison of the effects of surgical smoke on the air quality and on the physical symptoms of operating room staff(SAGE Publications Inc, 2023) Soysal, Ganime Esra; İlçe, Arzu; Lakestani, Sanaz; Şit, Mustafa; Avcıoğlu, FatmaBackground Surgical smoke can be a hazard because e it contains toxic gases with carcinogenic effects that may threaten health. This study aims to determine the effect of surgical smoke containing toxic chemicals on indoor air quality and examine employees' physical symptoms in the operating room. Method The study was conducted in the operating room between June 2020 and July 2020. In the study, 45 air samples were taken before, during, and after surgery using the active sampling method. Nineteen employees working in the operating room were asked about their physical complaints and their throat cultures were taken before and after surgery. These results were compared with those of the employees working in internal units. Results The Total Volatile Organic Compounds value at the time of surgery was significantly higher (p <= 0.05). Benzene concentrations remained constantly high (p <= 0.05) throughout the surgery, exceeding the limit values. Other VOCs (Volatile Organic Compounds) were significantly higher during surgery and remained below the limit values (p <= 0.05). When compared in terms of open and laparoscopic surgery, no difference between VOC concentrations was observed (p <= 0.05). The physical symptoms of the surgical team increased during the operation, and they experienced more complaints of tearing, burning in the eyes, hair odor, nausea, and cough than those working in the internal units (e.g., internal medicine, dermatology; (p <= 0.05). Conclusions Surgical smoke was an important contaminant for indoor air quality in the operating room.Öğe Equilibrium study of benzene, toluene, ethylbenzene, and xylene (BTEX) from gas streams by black pine cones-derived activated carbon(Elsevier, 2023) Işınkaralar, Kaan; Türkyılmaz, Aydın; Lakestani, SanazConsidering environmental emissions, benzene, toluene, ethylbenzene, and xylene (BTEX) are widely used as raw materials in industrial processes. They also affect humans via inhalation, which must be reduced due to their toxicity before further operation. Notably, the leading technologies have tried to remove BTEX emissions with several methods. Continuous innovation of adsorbents is constantly developing in the adsorption mechanism, which has been developed based on waste biomass. Pinus nigra cones is a lignocellulosic raw material that is fast-growing on various soils and found abundant in nature as a precursor. It may be cheaply found available from some natural product vendors. It was used to prepare activated carbon by chemical activation with phosphoric acid (H3PO4), potassium hydroxide (KOH), sulfuric acid (H2SO4), lithium hydroxide (LiOH), zinc chloride (ZnCl2), sodium hydroxide (NaOH) as the activating agents between at 550-850 degrees C for 2 h. Fourier transforms infrared spectrometer (FT-IR), thermogravimetric analyzer (TGA), scanning electron microscopy (SEM), and N2 gas adsorption-desorption analyzer were used for KAS-ACs characterization. The high BTEX adsorption capacities by ZnCl2 activated carbons were slightly higher than (SBET: 1849 m2/g for KAS-AC91, and Vtotal: 0.44 cm3/g) others. ANOVA results show a high correlation for the KAS-ACs production with ZnCl2, and there was a statistically significant difference between the mean of Vmicro (cm3/g) with activation temperatures p-values<0.05. The removal capacities at 5 & mu;g/L have been done to evaluate using Tenax TA tubes were 92, 96, 88, and 94.08% for benzene, toluene, ethylbenzene, and xylene, respectively. The maximum adsorption capacity for benzene, toluene, ethylbenzene, and xylene onto the KAS-AC91 in the following order: Xylenes (181 & mu;g/g) > Toluene (206 & mu;g/g) >Benzene (171 & mu;g/g) >Ethylbenzene (201 & mu;g/g). This suggests that the KAS-AC91 is an efficient BTEX adsorbent and represents a promising attempt to enhance BTEX adsorption in indoor air quality. & COPY; 2023 The Author(s). Published by Elsevier B.V. This is an open access article under the CCÖğe Hidden realities: Food waste from servings in mini size packaging(Pergamon-Elsevier Science Ltd, 2024) Doğdu, Gamze; Pekdemir, Turgay; Lakestani, Sanaz; Karabörk, Şeyda; Çavuş, OsmanThis paper provides data obtained from real-life measurement of the Food Waste (FW) associated with the services offering food in mini size (9-20 g) single-use packaging representing the impact of the difficulties in emptying the food from such packages and service characteristics. We collected discarded such food packages from commercial public eateries (a time-share thermal town, student canteen, and student refectory), quantified FW, and subjected data to statistical analysis regarding the eatery places, package characteristics, and food type. The results suggest that service style, packaging, and consumer wastefulness can cause 10-47 %, 3-11 %, and 5-37 % FW, respectively, indicating hidden part of the wastage iceberg from mini size food portions with vast implication on the food and relevant packaging sustainability. Regarding the packing, the dominant cause of FW is difficulties in emptying the food, such as the shape, size, depth, width, and material of the package. Concerning the consumer wastefulness, our measurements seem to imply that the groups with relatively higher affluency creates more FW. Our results will prove to be highly beneficial in both promoting efforts to raise awareness of not only consumers but also industry players and decision makers on the sustainability for food and relevant packaging material.Öğe Modelling sensor ontology with the SOSA/SSN frameworks: a case study for laboratory parameters(Tubitak Scientific & Technical Research Council Turkey, 2020) Aktaş, Özlem; Milli, Mehmet; Lakestani, Sanaz; Milli, MusaRecently, the use of sensor-based systems in many areas has led to an exponential increase in the raw sensor data. However, the lack of neither syntactic nor semantic integrity between these sensor data limited their sharing, reusability, and interpretation. These inabilities can cause some problems. For example, different wireless sensor networks may not work together due to the subtle variations in their sensing methods, operating systems, syntax, and data structure. In recent years, to cope with these inabilities, the semantic sensor web approach, which enables us to enrich the meaning of sensor data, has been seen as the critical technology in solving these problems by some researchers. The primary purpose of this study is to create a laboratory environment parameters sensor ontology (LEPSO) that provides a standard data model for heterogeneous sensor data from different platforms by expanding semantic sensor networks (SSN). A case study was conducted using the real-time data collected from Bolu Abant izzet Baysal University, Scientific Industrial Technological Application and Research Center in order to demonstrate that the proposed LEPSO can be used in similar sensor-based applications. A series of semantic queries have been performed on the collected sensor data to evaluate the proposed sensor ontology. The results showed that sensor data, which are heterogeneous by nature, provide benefit results in sensor-based monitoring systems when enriched with semantic web technologies and ontologies. Besides, this study proves that the proposed semantic sensor ontology, which used the semantic sensor network framework, has the capability to provide a common infrastructure for many sensor-based applications. The proposed ontology has the potential to become a more comprehensive ontology by adding different platforms, different sensors, different environments such as school, factory. In the next study, it is aimed to expand the scope of this semantic sensor network, which is formed by including this ontology in the intensive care unit of a hospital.Öğe Monitoring, control and reduction of bioaerosols in the intensive care unit in Turkey(Ice Publishing, 2022) Lakestani, Sanaz; Çakır, İbrahim; Gözdaş, Hasan Tahsin; Yıldız, İsa; Demirhan, AbdullahMaintaining high indoor air quality in hospitals is important for protecting the health of both personnel and patients. In this study, the results of air quality monitoring carried out in the intensive care unit of a hospital in Bolu, Turkey, are discussed. Air disinfection devices were used to reduce the concentrations of bacteria. A 4-week sampling programme was implemented. In the first and the last weeks of the sampling, the disinfection devices were turned off, while in the second and third weeks, they were turned on. Bioaerosols were collected, and their indoor levels were determined by counting all plate colonies and bacterial types were identified by matrix-assisted laser desorption/ionisation-time of flight mass spectrometry. The highest levels of bacteria were measured in the mornings and before the air disinfection devices were turned on. Doctors did their rounds at approximately nine to ten o'clock. The dominant bacteria in the air samples examined were Staphylococcus hominis, Micrococcus luteus, Staphylococcus capitis, Staphylococcus epidermidis, Corynebacterium afermentans and Staphylococcus haemolyticus. The results showed that the air disinfection devices were effective in decreasing the concentration of microorganisms between 83.4 and 55% in the intensive care unit, which is very important for the healthcare staff and patients, particularly during pandemics.Öğe SOSA/SSN sensör ontoloji çerçevelerini kullanarak laboratuvar ortamlarında semantik tabanlı anomali tespiti(Pamukkale University, 2023) Milli, Musa; Milli, Mehmet; Lakestani, Sanaz; Aktaş, ÖzlemGünümüz modern dünyasında, laboratuvarlar okullarda, hastanelerde ve birçok kurumda, eğitim hayatının, iş hayatının ve gündelik yaşamın vazgeçilmez parçaları haline gelmiştir. Laboratuvarlar gerek eğitim alanında, gerek sağlık alanında veya gerekse endüstriyel alanda kullanılsın en temel prensip çalışanların ve çevrenin güvenliğinin sağlanması olmalıdır. Güvenlik önlemlerin ise en başında insan sağlığını doğrudan etkileyen ve laboratuvarların doğası gereği ortamda bulunmak zorunda olan fiziksel (sıcaklık, nem), kimyasal (gazlar), biyolojik (bakteriler, virüsler) ortam parametrelerinin sürekli izlenmesi, takibinin yapılması ve kontrol altında tutulması gelmektedir. Laboratuvar ortamlarında bu parametrelerin kontrol altında tutulması birçok yerde ya hiç yapılmamaktadır ya da hala klasik ve konvansiyonel yöntemler ile yapılmaktadır. Bu çalışmada laboratuvar ortam parametrelerinin devamlı izlenmesi amacı ile klasik yöntemlerin dezavantajlarını ortadan kaldırmak için sensör tabanlı bir sistem kurulmuştur. Önerilen sensör tabanlı sistem semantik web teknolojileri ile anlamsal olarak zenginleştirilmiştir. Böylelikle önerilen sistemin etkinliği ve sürdürülebilirliği de arttırılmıştır. Özellikle son yıllarda tüm dünyayı etkisi altına alan ve hava yolu ile bulaşan Covid-19 gibi hastalıkların yayılımın azaltmak için iç mekân ortamlarının hava kalitelerinin gözetimi ve iyileştirilmesi şarttır. Önerilen çalışmanın özellikle Covid-19 gibi salgın zamanlarında hastaneler, okullar, toplu taşıma araçları ve yoğun bakım üniteleri gibi kritik öneme sahip alanlarda kullanılma potansiyeli yüksektir. Sonraki çalışmalarda önerilen sisteme yapay zekâ yaklaşımları da eklenerek sisteme ileriye yönelik hava kalitesi tahmin kabiliyeti kazandırılacaktır. Geliştirilen sistem sayesinde kurumlar ve firmalar eylem planlarını daha erken devreye sokarak ortam şartlarının yönetilebilirliği noktasında avantaj sağlayacaklardır.Öğe Volatile organic compounds and cancer risk assessment in an intensive care unit(Springer, 2024) Lakestani, SanazChanges caused by air-cleaning devices in the amounts of volatile organic compounds in an intensive care unit were monitored in the study. The cancer risk and hazard index were calculated. The measurements were made for one month at isolated room and two different points and times in the intensive care unit. According to the sampling program, the air-cleaning devices were turned off in weeks 1 and 4 and turned on in weeks 2 and 3. Volatile organic compounds were collected by active sampling. Samples were analyzed by a thermal desorber coupled to a gas chromatography-mass spectrometry instrument with selective ion monitoring. The results showed that the concentrations of benzene, toluene, and o-xylene decreased by about 70% after the air-cleaning devices were installed. The cancer risk assessment for naphthalene was recorded at the highest level of cancer risk (Class A). The hazard index value of naphthalene was recorded at the harmful level when air-cleaning devices were not installed. The concentrations of benzene (p = 0.01), toluene (p = 0.02), ethylbenzene (p = 0.02), styrene (p = 0.01), and m, p-xylene (p = 0.04) before the air-cleaning devices were installed were significantly different from those recorded when the air-cleaning devices were turned on.
