The aim of the present study is to predict environmental conditions in the basin of Lake Van in the Eastern Anatolia, Türkiye. The datasets for the period between January 1950 and June 2023 that include critical parameters like sunshine hours, temperature, precipitation, and humidity were used for predicting. The research developed a two-way approach that combines statistical-based models which include Auto.Arima, SARIMA and TBATS models together with deep learning-based models like NNTAR, MLP and ELM.\nThe model\'s accuracy and reliability are being evaluated by using the test lengths of 60, 72, and 84 months periods during the forecasting process. Evaluation metrics, especially the root mean square error (RMSE) and mean absolute error (MAE) were used to numerically show the capability of every model.\nThis trial is a major contribution to environmental forecasting literature by focusing on a particular geographical zone, ensuring environment parameters diversity, employing diverse prediction models, and offering a long-term view. The conclusions have been proved meaningful for researchers and environmentalists who dedicate their time to climate science, environmental management, and sustainable development in the Eastern Anatolia region of Türkiye.
Automatic modulation recognition of \ncommunication signals is an influential theme of \nwireless communication. To recognize digital \nmodulation techniques in presence of AWGN for \ndifferent values of SNR is the focusing element of \nthe paper. Various features can be learn and \nunderstand in simulation. Mapping techniques for \nOFDM are simulated using MATLAB toolbox \nSIMULINK. Bit error rate of different \nmodulation techniques is implemented for \ncorresponding SNR. Models are analyzed for \nwireless parameter like kurtosis of normalized \nsignal along with a new statistical method to \nrecognize OFDM from other digitally modulated \nsignals.
Abstract: the antimicrobial of silver and copper nanoparticles were well studied in the literature. In this article five experiments were done to see the effect of silver and copper nanoparticles alone or with Geranium leaf extract on two gram positive and two gram negative bacteria beside Candida albicans as fungi . The effect of both nanoparticles was higher in Pseudomonas aerugenosa and E.coli, while the lower effect was on Streptococcus pyogenes and Bacillus cereus. Silver nanoparticles alone had better effect on Candida albicans growth than other treatments. In our opinion this is the first experiment to be done on the effect of silver and copper Nanoparticles on Iraqi bacterial strains
As wireless sensor networks have emerged as an exciting new area of research in Computer Science, many of the logistical challenges facing those who wish to develop, deploy, and debug applications on realistic large-scale sensor networks have gone unmet. Sensor generate an excessive amount of data which have been acquired from environmental informations. These data should store anywhere for further analyses. Data management in wireless sensor networks has been an area of significant research in recent years. We review and compare some of the semantics one.
The implementation of the land circulation system has brought new opportunities for\nChina\'s agricultural development, and building the agricultural demonstration park is an\nimportant measure to promote the efficient development of modern agriculture. Integrating\nthe concept of smart into the construction of agricultural demonstration park can promote the\nsustainable development of the park. This paper takes an agricultural demonstration park as\nan example, which is located in Lankao County, Kaifeng City, Henan Province, and builds a\ndevelopment model of smart agricultural demonstration park through the combination of\nsmart technology with park planning. Smart construction of this park is divided into four\nmodules: the smart production module, the smart leisure module, the smart retrospect module\nand the smart trading module. Connect pre-production, production and post-production\nthrough smart construction, contact the government, administrators, technicians, experts, the\npublic and markets and form a smart industrial chain. Applying information technology,\ncloud computing, Internet and wireless communication technology to the construction of\nsmart agricultural demonstration park will effectively improve the production and\nmanagement level of the park and facilitate sustainable development of the park.
Abstract\nIn this paper, were determined the effects of cutting tool coating material and cutting speed on cutting forces and surface roughness based on Taguchi experimental design method. Main cutting force, Fz is considered to be cutting force as a criterion. In the experiments, depending on the tool coating material, lowest main cutting force is found to be 548 N with KC9240 CVD coated cemented carbide and Lowest average surface roughness (0.812 μm) with KT313 uncoated cemented carbide insert both at 100 m/min. The effects of machining parameters were investigated using Taguchi L18 orthogonal array. Optimal cutting conditions were determined using the signal-to-noise (S/N) ratio which is calculated for average surface roughness and cutting force according to the \"the smaller is better\" approach. Using results of analysis of variance (ANOVA) and signal-to–noise (S/N) ratio, effects of parameters on both average surface roughness and cutting forces were statistically investigated. It has seen that while cutting speed and cutting tool has higher effect on the cutting force, the cutting tool and cutting speed has higher effect on average surface roughness. The results obtained indicated that CVD cutting tools performed better than PVD and uncoated cutting tools according to cutting forces, but in terms of surface quality KC 9240 and KT315 showed poor performance with current parameters.
Identity verification is a general task that has many real-life applications such as access control, transaction authentication (in telephone banking or remote credit card purchases for instance), voice mail, or security. Most of the biometric applications are related to security and are used extensively for military purposes and other government purposes. The goal of an automatic identity verification system is to either accept or reject the identity claim made by a given person. Biometric authentication technology used to solve these problems, it identifies people by their unique biological features. However, a single biometric is not sufficient to meet the variety of requirements, including matching performance imposed by several large-scale authentication systems. Multi-modal biometric systems seek to alleviate some of the drawbacks encountered by uni-modal biometric systems by consolidating the evidence presented by multiple biometric traits/sources. This paper proposes a multi-modal authentication technique based on palm print using Tsallis entropy, augmented by palm veins features to increase the accuracy of security recognition. The obtained results point at an increased authentication accuracy
Wireless Cellular Seamless Mobility is the most important feature of a wireless cellular communication system. Basically cell phones are used for communication purpose and therefore good cell coverage is needed to make and receive calls. Usually, continuous service is achieved by supporting handover from one cell to another. Handover is the process of changing the channel associated with the current connection while a call is in progress. It is often initiated either by crossing a cell boundary or by deterioration in quality of the signal in the current channel. Mobile IP, too, has to support redirection of data to a new foreign agent after the change of network access. In this case the additional delay caused by the redirection. The shorter the interruption of the service is –up to the ideal case of no service interruption. Minimizing the Delay based on some prior estimation methods in handover is better for quality of seamless connectivity anytime; anywhere across communication networks. All mobile phone system supports the seamless handover between base stations. To avoid the additional delay and wastage of Electromagnetic Spectrum, Mobile IP may use Optimizations such as rerouting of the whole packet in the flow of efficiently transmission of data with short interrupted service by Time series based Spectrum Estimation Technique. Due to the utilization of seamless handover mechanism it reduces the unwanted usage of Spectrum.