Hydrogen Gas Sensor Based On Seven-core Fiber Interference And Pt-WO3 Film

Tungsten oxide (WO3) typically owns the characteristics of electrochemical, photo-chromic, and gas-chromic. The seven-core fiber (SCF) generates a strong interference signal that comprises super-modes. The thermo-optic and thermo-expansion characteristics of SCF were utilized with an aid of Pt-WO3 film that makes the sensor highly sensitive to the H2 gas environment. The sensor with spiral micro grooves by femtosecond-laser ablation considerably enhanced the H2 sensitivity from 3.28 nm% to 4.0 nm%, and obtained a response and recovery time \u3c 90 s

DIFFICULTIES IN SERVICE CROSS-CULTURAL COUNSELING IN THE KERINCI DISTRICT

Cross-cultural counseling poses various challenges that counselors must address to provide effective and beneficial counseling services to clients from different cultural backgrounds. These challenges include language and cultural differences that can affect communication and the quality of counseling, differences in values and beliefs that can influence how clients perceive issues and how counselors provide counseling, stereotypes and prejudices that can affect how counselors view their clients and the quality of counseling, gender role differences in different cultures that can affect the dynamics of counseling, and lack of cultural awareness that can affect counselors' ability to understand clients' cultures and provide effective counseling. The ineffectiveness of cross-cultural counseling can be caused by counselor factors, namely counselors who do not receive education/training and experience about cross-cultural counseling who are confined to their own culture. This is done to ensure that the counseling assistance provided is in accordance with the values and cultural norms adopted client

Inter-Cross De-Modulated Refractive Index And Temperature Sensor By An Etched Multi-Core Fiber Of A MZI Structure

We present a relative sensitivity of in-fiber inter-cross demodulation of a Mach-Zehnder interferometer (MZI) based on an etched multi-core fiber (eMCF). The sensor can measure the external refractive index (RI) and temperature with a large fringe visibility of 15 dB. It is tuned using a simple technique of slow chemical etching. When the outer cores of MCF will be exposed to the surrounding, a large difference of relative effective RI is observed, which enhances the sensitivity of the sensor. The sensor\u27s wavelength and intensity responses have displayed that it can function with three different inter-cross-demodulation phenomena. A superior RI sensitivity of 178.20 dB/RIU in the range of 1.334 to 1.370, and temperature sensitivity of 66.73 pm/°C in the range of 30 to 80 °C are obtained, with an adequate linear response. Besides, it can readily resolve the issues of cross-sensitivity. Moreover, it has many advantages including easy fabrication, compact size, multiplex, repeatable, stable, and can easily differentiate RI and temperature, which lack others

Ship Detection And Tracking In Inland Waterways Using Improved Yolov3 And Deep Sort

Ship detection and tracking is an important task in video surveillance in inland waterways. However, ships in inland navigation are faced with accidents such as collisions. For collision avoidance, we should strengthen the monitoring of navigation and the robustness of the entire system. Hence, this paper presents ship detection and tracking of ships using the improved You Only Look Once version 3 (YOLOv3) detection algorithm and Deep Simple Online and Real-time Tracking (Deep SORT) tracking algorithm. Three improvements are made to the YOLOv3 target detection algorithm. Firstly, the Kmeans clustering algorithm is used to optimize the initial value of the anchor frame to make it more suitable for ship application scenarios. Secondly, the output classifier is modified to a single SoftMax classifier to suit our ship dataset which has three ship categories and mutual exclusion. Finally, Soft Non-Maximum Suppression (Soft-NMS) is introduced to solve the deficiencies of the Non-Maximum Suppression (NMS) algorithm when screening candidate frames. Results showed the mean Average Precision (mAP) and Frame Per Second (FPS) of the improved algorithm are increased by about 5% and 2, respectively, compared with the existing YOLOv3 detecting Algorithm. Then the improved YOLOv3 is applied in Deep Sort and the performance result of Deep Sort showed that, it has greater performance in complex scenes, and is robust to interference such as occlusion and camera movement, compared to state of art algorithms such as KCF, MIL, MOSSE, TLD, and Median Flow. With this improvement, it will help in the safety of inland navigation and protection from collisions and accidents

Numerical Solution Of Strongly Guided Modes Propagating In Sapphire Crystal Fibers (α-Al2O3) For UV, VIS/IR Wave-guiding

A numerical solution, using the general formulation of the transcendental equation and eigenmode values, is proposed to demonstrate number of strongly guided modes propagating in sapphire crystal fibers (SCF). The SCF is considered to have hexagonal geometry of a single crystal and multimode step-index profile. Several distinguished characteristics are naturally embedded in SCF compared to other ordinary optical fibers. The eigenmodes of the SCF are numerically determined and are a combination of transverse electric, transverse magnetic, and hybrid modes. The numerical solution for wave-guiding in ultra-violet (UV), visible infrared (VIS/IR) spectrum, is investigated by the number of modal propagations under strongly guided approximation. The cross-sectional energy distribution of fundamental mode (FM) and higher order modes (HoM) describe the variation of the effective mode index with respect to the change in the core radius. The proposed waveguide is of ~35micron radius, exhibit −0.077 dB/m confinement loss at 200 nm. The simulations in this study are performed by the COMSOL multi-physics® software

Gas Prices and Industrial Production Level: Empirical Evidence from Pakistan

Pakistan has a vast industrial base which contributes a large portion in economic growth and employs a large population directly and indirectly. The purpose of this research is to examine the shocks of natural gas prices on the industries that use extensive amount of natural gas in their production as raw material and heating source. The industries taken under study are cement, cotton cloth, cotton yarn, glass, nitrogen fertilizer, phosphorus fertilizer, paper and board, sheet iron and synthetic fiber and billet iron. Vector Auto regression (VAR) is applied to check the shocks using monthly data from January 2012 to September 2017, collected from Pakistan Bureau of Statistics (PBS). Impulse response function (IRF), Variance Decomposition and Granger Causality test were executed from VAR estimates to examine gas price shocks on industrial production level in short and long run. Results reveal that gas prices have shocks in short run on all major industries but in long run they seems to stabilize and the effect is minimized. The idea of the study is original and findings help investors, policymakers and regulatory authorities as lots of researches have been undertaken on oil prices shocks and industrial production, while none of research has been conducted on gas prices shocks and industrial production. Keywords: Gas Prices, Impulse Response Function, Industrial Production level    JEL Classifications: E30 L95 O13 O14 Q42 

Securing Cognitive Radio Networks using blockchains

Due to the increase in industrial applications of Internet of Things (IoT), number of internet connected devices have been increased accordingly. This has resulted in big challenges in terms of accessibility, scalability, connectivity and adaptability. IoT is capable of creating connections between devices on wireless medium but the utilization of scarce spectrum in efficient manner for the establishment of these connections is the biggest concern. To accommodate spectrum allocation problem different radio technologies are being utilized. One of the most efficient technique being used is cognitive radio, which dynamically allocate the unlicensed spectrum for IoT applications. Spectrum sensing being the fundamental component of Cognitive Radio Network (CRN) is threatened by security attacks. Process of spectrum sensing is disturbed by the malicious user (MU) which attacks the primary signal detection and affects the accuracy of sensing outcome. The presence of such MU in system, sending false sensing data can degrade the performance of cognitive radios. Therefore, in this article a blockchain based method is proposed for the MU detection in network. By using this method an MU can easily be discriminated from a reliable user through cryptographic keys. The efficiency of the proposed mechanism is analyzed through proper simulations using MATLAB. Consequently, this mechanism can be deployed for the validation of participating users in the process of spectrum sensing in CRN for IoTs.publishe

Temperature And Strain Sensing With Hybrid Interferometer

A hybrid interferometer for simultaneous measurement of strain and temperature is proposed and investigated experimentally. This hybrid design is composed of Fabry-Perot interferometer (FPI) and Michelson Interferometer (MI) cascaded with each other. It is developed by fusion splicing a single mode fiber (SMF), a multimode fiber (MMF), a dual side hole fiber (DSHF), a hollow core fiber (HCF) and a tapered-SMF. The tapered SMF was inserted into the HCF to form a reflection mirror for the FPI. The maximum temperature and strain sensitivity of the hybrid interferometer achieved through experiments is 11.6 pm/°C and 6.8 pm/mu varepsilon , respectively. The different sensitivities of FPI and MI to temperature and strain enable us to achieve simultaneous measurement. The proposed hybrid interferometer sensor has many attractive features such as, novel design, low cost, easy fabrication, compact size, and good sensitivity. Therefore, the proposed hybrid sensor could be widely deployed in plenty of applications, for instance, structural health monitoring, civil engineering, food manufacturing, chemical and medical fields

Thermo-coupled Temperature Sensors By Seven-core MCF Structures

In this paper, we present an enhanced sensitivity of temperature sensors based on thermo-coupled Multicore Fiber (MCF) structures. The sensors are all fabricated using a controlled arc power of a splicing device. Two different principles of a Mach-Zehnder interferometer (MZI) and Michelson interferometer (MI) have been observed experimentally. The MZI and MI structures exhibit temperature sensitivity as 136.67 pm/°C and 70.61 pm/°C, respectively, and found insensitive to the refractive index (RI). Also, its RI response can readily resolve the issues of cross-sensitivity

Comparison of haemoglobin level between high altitude people and low altitude people

Background: Hemoglobin is the iron holding and oxygen carrying protein found inside the red blood cells. Studies have been done on Hb level variations in gender, race and region but no comparative study on different altitude effects in Pakistan is reported. Comparison of Hemoglobin level between people living at high altitude and low altitude was done in this study. Samples from district Skardu Gilgit-Baltistan, Pakistan were used as high-altitude samples and samples from district Lahore, Pakistan were utilized as low altitude samples. Samples were obtained from those people who don’t have any haemoglobinopathies.Methods:  50 blood samples were collected for this study; 25 individuals were from low altitude level and 25 of high-altitude level. Estimation of hemoglobin concentration was done by Cyanmethemoglobin method to compare the individuals HB from low altitude with high altitude.Results: All the blood samples were properly analyzed, and the results extracted from the samples, living at low altitude were compared with those living at high altitude. Mean and standard deviation values were calculated, and they found to be different for both populations, people at high altitude and the people living at low altitude. 25 residents of high altitude showed following results of hemoglobin: mean=15.0 and SD=0.632. On the other hand, 25 individuals of low altitude revealed these results: mean=14.53 and SD=0.633.Conclusion: There was a significant difference in Hb level in blood at high altitude (7500 feet) and low altitude (711 feet from sea level) P=0.004.  Keywords: Hemoglobin, Standard Deviatio