Authors:Surajit Pal, Susanta Kumar Gauri Pages: 1 - 11 Abstract: Rapid technological advancement and implementation of automation and computerization in today's manufacturing set up resulted in many high quality processes, where defects are rarely observed. There are many high quality manufacturing processes where two or more types of defects may be generated from different types of equipment/process problems. The zeroinflated defects data containing two types of defects are commonly modeled by bivariate zero-inflated (BZI) Poisson distribution. Pal and Gauri (2022a) proposed a methodology for measuring capability of a BZI Poisson process. However, they ignored the count of zero defect (ZD) products produced in a BZI process. Because of that, Pal and Gauri (2022a) proposed approach fails to discriminate the BZI processes which produces different proportions of ZD units but having almost the same proportion of nonconforming items with respect to the USL of combined number of defects or USLs of individual defect types. In this paper, a new measure of process capability for BZI processes is proposed that can truly discriminate different BZI processes taking into account the USL of combined number of defects (or USLs of individual defect types) as well as the proportion of ZD units produced in these processes. The proposed methodology is illustrated using two case studies. The results of the case studies show that the proposed index well represents the true capability of BZI processes. PubDate: 2023-02-15 DOI: 10.4314/ijest.v14i4.1 Issue No:Vol. 14, No. 4 (2023)
Authors:Javid Ali, Inayat ur Rehman, Javed Abbas Bangash Pages: 12 - 20 Abstract: The current study was design to exploit the Azadirachta indica leaves, seeds and twigs for %yield, phytochemicals content and antioxidant activities using infusion, hydroalcoholic, decoction and microwave extraction techniques. The phytochemicals contents were determined by standard reported methods. While antioxidant activity was assessed by three (03) standards In-vitro antioxidant test systems as 1, 1’-diphynyl- 2-picrylhydrazyl (DPPH), Hydrogen peroxide (H2O2) scavenging activity and Nitric oxide (NO) scavenging activity method using ascorbic acid as standard. The highest extractive yield was observed in seed were 44.00±02% (infusion), 38.00±00% (Hydroalcoholic) and 20.00±03% (decoction). Followed by leaves and twigs parts of neem. The high amount (+++) phytochemicals contents were extracted from neem leaves infusion and hydroalcoholic extracts as compared to seeds and twigs neem parts with decoction and microwave extraction methods. The highest Azadirachta indica (neem) leaves infusion extract showed at 1000 mg/L remarkably inhibited DPPH inhibition activity (85±01), H2O2 scavenging activity (83±01%), and NO scavenging activity (78±01%). The antioxidants activities showed a dose dependant manner, the higher the concentration showed high antioxidant activities. The results pointed to the significant antioxidant activities of the leaves infusion and hydroalcoholic extraction techniques, the overall strength being in the order of infusion >hydroalcoholic >decoction >microwave in leaves, seeds and twigs extracts. In all cases, the extracts obtained from leaves showed higher antioxidant activity and higher phytochemicals contents than the other extraction technique obtained from seeds and twigs. The results indicate that Azadirachta indica leaves, seeds and twigs extracts have potent antioxidant activities that would have beneficial effects on human health and infusion extracts are superior with better antioxidant potential. PubDate: 2023-02-15 DOI: 10.4314/ijest.v14i4.2 Issue No:Vol. 14, No. 4 (2023)
Authors:Nyatwere Donasian Mganga, Khamis Yusuph Pages: 21 - 29 Abstract: Woodlands are important sinks for the ever increasing levels of atmospheric carbon dioxide, which is directly linked to climate change. Baobab (Adansonia digitata L.) is among the vascular tree species with a long lifespan of 1250 years thus potential for carbon storage though inadequately studied. This study therefore aimed to account for aboveground biomass and carbon in an agroforestry of Mkanana village (with baobabs and sunflower) and Mangalisa forest reserve in Mpwawa District. The allometric model developed for baobabs in dry areas was used for estimation of biomass which was computed as 50% carbon. The mean aboveground biomass of baobabs of 6.952 ± 0.09546 tonnes/tree in Mangalisa forest reserve was higher than 5.538 ± 0.3064 tonnes/tree recorded in Mkanana agroforestry (Mann-Whitney U-Statistic = 94.000, U’ = 531.00, P ˂ 0.0001). On the other hand, the mean aboveground carbon of 3.476 ± 0.09546 tonnes/tree in Mangalisa forest reserve was significantly higher than 2.769 ± 0.1533 tonnes/tree recorded in Mkanana agroforestry (Mann-Whitney U-Statistic = 93.000, U’ = 532.00, P ˂ 0.0001). The results of this study positively contribute to vegetation carbon storage. Sustainable carbon storage in baobabs can be achieved by planting them in reserve areas rather than in agroforestry. PubDate: 2023-02-15 DOI: 10.4314/ijest.v14i4.3 Issue No:Vol. 14, No. 4 (2023)
Authors:S. Prithi, S. Sumathi Pages: 30 - 45 Abstract: Wireless Sensor Network (WSN) has been deployed in several areas of interest for controlling the region, automation of mundane tasks due to features such as smart sensor nodes, low cost, and small-scale factors. Earlier, the sensory units were costly and deficient in the computational and communicational capabilities which were overcome by sensing, processing, storing, and forwarding the data powered by a battery. There predominates diverse applications which affects the low-cost solutions of WSNs in numerous specialties such as observing patients in health care, target exposure, and tracking purposes, examining the atmosphere and climate, home applications, contributing protection for vehicular networks Owing to the diversity of the applications of Wireless Sensor Network, it needs to impose varying design, implementation, and performance requirements on the Wireless Sensor Network to have deep knowledge about the characteristics of WSNs. The pervasiveness of designing and optimizing WSN appeared to be a surplus to several application fields which influenced countless researchers to pay attention to several issues such as routing, mobility of nodes, coverage, and security. In recent years, designing of WSN becomes the leading domain for many researchers. A WSN is bounded with a collection of devices that are associated in the network to communicate the information collected from the field through the wireless links that have been established in the network. The data thus collected is transmitted through multiple nodes and also, the data is communicated to other networks through the gateway. During the design and deployment of WSNs, more attention is required at various levels like routing, coverage, and security. A complete system could be designed so that it could resolve the problems such as energy exhaustion, network lifetime, throughput, end-to-end time, routing, and intrusion detection could also monitor and keep control of the network environment. Therefore, this proposed technical research survey work has been carried out by devising an automaton system that can learn, monitor and control the dynamic behaviour of the network environment as well as can obtain an optimal route using Computational Intelligence Techniques. Besides, it detects the malicious activities that occur in the network using Hybrid Intrusion Detection System (IDS) model to enhance the throughput, lifetime of the network, utilization of the energy, end-to-end delay, accuracy, detection rate, computational time and recall rate. PubDate: 2023-02-15 DOI: 10.4314/ijest.v14i4.4 Issue No:Vol. 14, No. 4 (2023)
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