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Large-scale oil refineries are equipped with mission-critical heavy machinery (boilers, engines, turbines, and so on) and are continuously monitored by thousands of sensors for process efficiency, environmental safety, and predictive maintenance purposes. However, sensors themselves are also prone to errors and failure. The quality of data received from these sensors should be verified before being used in system modeling. There is a need for reliable methods and systems that can provide data validation and reconciliation in real-time with high accuracy. In this paper, we develop a novel method for real-time data validation, gross error detection and classification over multivariate sensor data streams. The validated and high-quality data obtained from these processes is used for pattern analysis and modeling of industrial plants. We obtain sensor data from the power and petrochemical plants of an oil refinery and analyze them using various time-series modeling and data mining techniques that we integrate into a complex event processing engine. Next, we study the computational performance implications of the proposed methods and uncover regimes where they are sustainable over fast streams of sensor data. Finally, we detect shifts among steady-states of data, which represent systems' multiple operating modes and identify the time when a model reconstruction is required using DBSCAN clustering algorithm.

Internet of Things (IoT) systems promise a seamless connected world with machines integrating their services without human intervention. It's highly probable that the entities participating in such autonomous machine to machine interactions are to be provided by different manufactures. Thus, integrating such heterogeneous devices from many providers complicates design and verification of IoT systems at an unprecedented scale. In this paper, we propose a novel runtime verification approach for IoT systems. The contributions of our proposed solution include: exploiting the interactions in message sequence charts (MSC) to specify message exchanges of constrained application protocol-based IoT systems in terms of events, a novel event calculus for formally describing IoT system constraints specified by means of MSCs, and an event processing algebra that uses complex-event processing techniques for detecting failures in the system by monitoring the runtime event occurrences with respect to the system constraints defined by event calculus. We further demonstrate the viability of proposed solution with case studies.

Indonesia is a disaster-prone area due to its complexity in geographical and geological location. For thousands of years, Indonesian society has interacted with various natural disasters. This research aims to summarize and synthesize community adaptation to various disasters by referring to their local indigenous knowledge. Data came from previous studies recorded in two most reputable scientific databases, namely Web of Science and Scopus, 1980 to 2023 . Our review used a qualitative approach with content analysis, resulting in 16 articles that were suitable for metaanalysis. This research shows that local indigenous knowledge in Indonesian society has included environmental adaptations to several disasters, such as floods, landslides, tsunamis, earthquakes, plagues, volcanic eruptions, and other hydrometeorological extreme events. Local indigenous knowledge is mostly spoken orally through various traditions, traditional houses, living equipment, poetry, regional zoning, and traditional institutions that imply disaster events, but there are no written remains. Their experience has not shown any adaptation to disaster-induced environmental changes due to climate change and global warming. Our research can provide input for disaster mitigation that is more appropriate to the local context.

The culture of land use in river corridors has a major effect on water quality, especially on organic chemical parameters such as BOD, COD and DO. This complexity is the main attraction to study in depth. The objectives of this study include several points to analyze (1) the correlation between land use culture and water quality (BOD, COD and DO); (2) constructing a strategy for handling water quality pollution in the upper Citarum river corridor. The method used was a survey with a regional approach through geospatial and correlation analysis. The results obtained (1) Water quality (BOD, COD and DO) has a strong correlation with anthropogenic activities of land use culture around the river corridor such as settlements, industry, chemical fertilizer use and others. (2) Handling strategies that are tailored to the identified zones such as forest areas, builtup areas, agriculture and shrubs. Some of the research results obtained can be used as relevant references for targeted treatments to succeed in a sustainable fragrant Citarum.

Bu araştırma, öğrenci ailelerinin sosyo-ekonomik düzeylerinin İlköğretim Din Kültürü ve Ahlak Bilgisi Dersi'ndeki başarı düzeylerine etkisini belirlemek amacıyla, Ankara ili merkez ilçelerdeki, üst, orta ve alt sosyo-ekonomik düzeyi temsilen seçilen Çankaya İlköğretim Okulu, Talia Yaşak Bakdur ilköğretim Okulu ve Harndi Bulgurlu İlköğretim Okulu'nun 6. ve 7. sınıflarında öğrenim gören 536 öğrenciden oluşan ömeklem grubu üzerinde gerçekleştirilmiş betimsel bir çalışmadır. Araştırmaya göre, öğrencilerin başarı düzeyleri ile ailelerinin sosyo-ekonomik düzeyleri arasında anlamlı bir farklılaşma vardır.

Bu çalışmanın amacı öğrencilerin İlköğretim Din Kültürü ve Ahlak Bilgisi Dersi öğretmenine yönelik tutumlarını belirlemektir. Öğrencilerin İlköğretim Din Kültürü ve Ahlak Bilgisi Dersi öğretmenine yönelik tutumlarını belirlemek üzere geliştirilen ve 19 maddeden oluşan tutum ölçeği Ankara ili merkez ilçelere bağlı ilköğretim okullarında öğrenim gören öğrencilerden oluşturulan ömeklem grubuna uygulanmıştır. Öğrencilerin İlköğretim Din Kültürü ve Ahlak Bilgisi Dersi öğretmenine yönelik tutumları genel olarak olumlu yönde ve yüksektir. Araştırma sonucunda, öğrencilerin , tutum düzeyleri ile cinsiyetleri arasında anlamlı bir farklılaşma tespit edilmiştir. Öğrencilerin tutum düzeyleri ile sınıf düzeyleri arasında ise anlamlı bir farklılaşma tespit edilememiştir.