An Intelligent System for Filling of Missing Values in Weather Data

Maqsood Ali Solangi,Ghulam Ali Mallah,Shagufta Naz,Jamil Ahmed Chandio,Muhammad Bux Soomro International Journal of Computer ScienceNetwork S 2023 International journal of computer science and netw Vol.23 No.9

Recently Machine Learning has been considered as one of the active research areas of Computer Science. The various Artificial Intelligence techniques are used to solve the classification problems of environmental sciences, biological sciences, and medical sciences etc. Due to the heterogynous and malfunctioning weather sensors a considerable amount of noisy data with missing is generated, which is alarming situation for weather prediction stockholders. Filling of these missing values with proper method is really one of the significant problems. The data must be cleaned before applying prediction model to collect more precise & accurate results. In order to solve all above stated problems, this research proposes a novel weather forecasting system which consists upon two steps. The first step will prepare data by reducing the noise; whereas a decision model is constructed at second step using regression algorithm. The Confusion Matrix will be used to evaluation the proposed classifier.

Fabrication of ZnO-doped reduce graphene oxide-based electrochemical sensor for the determination of 2,4,6-trichlorophenol from aqueous environment

Nawaz Muhammad,Shaikh Huma,Buledi Jamil A.,Solangi Amber R.,Karaman Ceren,Erk Nevin,Darabi Rozhin,Camarada Maria B. 한국탄소학회 2024 Carbon Letters Vol.34 No.1

Environmental pollution has become an alarming issue for the modern world due to the extensive release of untreated chemical waste into freshwater bodies. Untreated chemical waste poses significant negative impacts on aquatic life and human health. The phenolic compounds are widely used in different industries for dyeing, as food preservatives, and for the production of pesticides. 2,4,6-Trichlorophenol (TCP) is among the most hazardous phenolic compounds that cause several serious health effects. Thus, it is important to monitor TCP in the environmental samples frequently. In the current work, it was aimed to develop a highly sensitive zinc oxide-doped (ZnO) reduce graphene oxide (rGO) composite-based electrochemical sensor for TCP monitoring in the real samples. In this regard, graphene oxide (GO) was simultaneously reduced and doped with ZnO using a facile microwave-assisted synthesis strategy. The resulting ZnO/rGO composite was successfully utilized to fabricate ZnO/rGO-modified glassy carbon electrode (ZnO/rGO/GCE) for the selective and trace level determination of TCP. The conductivity and electrocatalytic behaviors of ZnO/rGO/GCE were examined through different modes of electrochemical setup. Under the optimal operating conditions such as a scan rate of 80 mV.s−1, PBS electrolyte (pH 7.0), and the concentration range of 0.01–80 µM, the fabricated electrochemical sensor manifested outstanding responses for monitoring TCP. The limit of detection (LOD) and limit of quantification (LOQ) of the ZnO/rGO/GCE for TCP were found as 0.0067 µM and 0.019 µM, respectively. Moreover, the anti-interference profile and stable nature of ZnO/rGO/GCE made the suggested electrochemical sensor a superb tool for quantifying TCP in a real matrix.

A review of the state-of-the-art in aerodynamic performance of horizontal axis wind turbine

Luhur, Muhammad Ramzan,Manganhar, Abdul Latif,Solangi, K.H.,Jakhrani, Abdul Qayoom,Mukwana, Kishan Chand,Samo, Saleem Raza Techno-Press 2016 Wind and Structures, An International Journal (WAS Vol.22 No.1

The paper presents the state-of-the-art in aerodynamic performance of the modern horizontal axis wind turbine. The study examines the different complexities involved with wind turbine blade aerodynamic performance in open atmosphere and turbine wakes, and highlights the issues which require further investigations. Additionally, the latest concept of smart blades and frequently used wind turbine design analysis tools have also been discussed. The investigation made through this literature survey shows significant progress towards wind turbine aerodynamic performance improvements in general. However, still there are several parameters whose behavior and specific role in regulating the performance of the blades is yet to be elucidated clearly; in particular, the wind turbulence, rotational effects, coupled effect of turbulence and rotation, extreme wind events, formation and life time of the wakes.

Efficient Low-power Scan Test Method based on Exclusive Scan and Scan Chain Reordering

Dooyoung Kim,Jinuk Kim,Muhammad Ibtesam,Umair Saeed Solangi,Sungju Park 대한전자공학회 2020 Journal of semiconductor technology and science Vol.20 No.4

With advancements in process technology and ever-increasing complexity of digital circuits, testing has become a prominent problem. The lengthy scan chains used for testing semiconductor chips cause not only the longer test time but also excessive test power consumption. Such excessive test power (especially peak power during shifting) can cause reliability degradation for the semiconductor. To resolve this problem, we introduce an exclusive shift-in and shift-out method along with a scan chain reordering algorithm. The proposed method is evaluated with several benchmark circuits including ISCAS’89, ITC’99 and IWLS’05. The results indicate that the proposed technique reduces the average power and helps mitigating the peak power consumption. In addition, an optimization method is introduced to reduce the area overhead of proposed scan technique. As a result, area overhead of proposed scan architecture was reduced to 1-11%.

A review of the state-of-the-art in aerodynamic performance of horizontal axis wind turbine

Muhammad Ramzan Luhur,Abdul Latif Manganhar,K.H. Solangi,Abdul Qayoom Jakhrani,Kishan Chand Mukwana,Saleem Raza Samo 한국풍공학회 2016 Wind and Structures, An International Journal (WAS Vol.22 No.1

The paper presents the state-of-the-art in aerodynamic performance of the modern horizontal axis wind turbine. The study examines the different complexities involved with wind turbine blade aerodynamic performance in open atmosphere and turbine wakes, and highlights the issues which require further investigations. Additionally, the latest concept of smart blades and frequently used wind turbine design analysis tools have also been discussed. The investigation made through this literature survey shows significant progress towards wind turbine aerodynamic performance improvements in general. However, still there are several parameters whose behavior and specific role in regulating the performance of the blades is yet to be elucidated clearly; in particular, the wind turbulence, rotational effects, coupled effect of turbulence and rotation, extreme wind events, formation and life time of the wakes.

COVID-19 and pancreatitis: A review of the potential association

Asad Ali Kerawala,Bhagwan Das,Rabika Fatima,Ahda Solangi 소화기인터벤션의학회 2023 International journal of gastrointestinal interven Vol.12 No.1

Originally thought to be a respiratory pathogen, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the virus that causes coronavirus disease 2019 (COVID-19), has been shown to cause a dizzying array of symptoms, including all major organ systems of the human body. As time elapsed, new strains of the virus have emerged, validating concerns about genetic mutation. No single treatment has proven beneficial in treating the consequences, and the world has been left at the mercy of this deadly pathogen. It has been proven that COVID-19 can cause strokes, myocardial infarcts, mesenteric infarcts, acute limb ischemia, and a wide array of other symptomatology. This review aimed to evaluate whether there exists an association between COVID-19 and pancreatitis. Forty publications (34 case reports and 4 case series) were included in the review. In total, 44 cases of acute pancreatitis (38 cases of acute edematous pancreatitis and 6 cases of necrotizing pancreatitis) in COVID-19 patients without any predisposing factors have been published since January 2020. Fortunately, only 4 (9.1%) of these patients were reported to have died. Although the exact mechanism by which COVID-19 causes pancreatitis is still unclear, studies so far have reported it as a multifactorial phenomenon. COVID-19 associated pancreatic injury is thought to involve direct cellular damage via local replication of SARS-CoV-2 within pancreatic cells, as they express angiotensin-converting enzyme 2 receptors even more strongly than lung cells. Our review concludes that acute pancreatitis should be kept in the differential list of all COVID-19 patients with gastrointestinal manifestations, especially in patients with acute abdomen.