December, 2020, 1(1), online


Research Paper

Fuzzy Simulation of Drug Delivery System Through Valve-less Micropump

Abstract: This research article presents Fuzzy estimation of fluidic parameters for valve-less micropump. The drug delivery system is incomplete without a micropump. The proposed Fuzzy controller micropump (MDDFC) consists of three inputs and two outputs. The investigation through Fuzzy simulation is carried out in order to evaluate the drug flow rate and drug speed. The simulation based on the real time conditions for fluidic parameters. Results are in good agreement with previous researches. The difference between simulated and calculated results is just 1 µl/min for drug flow rate and 0.01 milliliter/sec for drug speed.

Farah Javaid1 and Said M. El-Sheikh2
1Department of Physics, Govt. APWA College (W) Lahore, Pakistan
2 Nanomaterials and Nanotechnology Department Advanced Materials Division Central Metallurgical Research and Development Institute CMRDI, Helwan, Egypt


Tokenization of Sindhi Text on Information Retrieval Tool

Abstract: In the artificial intelligence divided into sub fields, Natural language processing (NLP) is also field of AI and performs lot of NLP task on scripts. Tokenization is also important task of NLP to break the text. Tokenization process used to text identifies their text and text count. In this research study focus on tokenization to perform task on Sindhi sentences by using tool and get information retrieval from tool. Corpus used Awami newspaper of Sindhi on the basis of sentence form. Information retrieval based on tool’s response and also helps users to in Simplification, satisfaction, filtration of text and so on. Tokenization task considered as pre-processing task of NLP and produce tokens with token count which is the basis on given input text to information retrieval Tokenization tool. One hundred forty words of Sindhi text and eight sentences were used to get results. In future, perform NLP tasks on Sindhi text by using supervised, Semi-supervised and unsupervised machine learning.

Irum Naz Sodhar1,*, Akhtar Hussain Jalbani2, Abdul Hafeez Buller and Anam Naz Sodhar4

1Lecturer, Department of Information Technology, Shaheed Benazir Bhutto University, Shaheed Benazir Abad, Sindh-Pakistan.
2 Associate Professor, Department of Information Technology, Quaid-e-Awam University of Engineering Science & Technology, Nawabshah, Sindh-Pakistan.
3 Engineer, Engineering Section, Quaid-e-Awam University of Engineering Science & Technology, Nawabshah, Sindh-Pakistan.
4Postgraduate Student, Quaid-e-Awam University of Engineering Science & Technology, Nawabshah Sindh-Pakistan.


Parametric Estimation Of Surgical Robotic Arm Using Fuzzy Analysis


In the modern era of innovation and technology, robots-based surgery is emerging as a revolutionized surgical method over conventional open surgical methods. Among various other robotic techniques in bio-medical applications, minimally invasive surgery (MIS) robotic arms are considered a viable choice owning to its small incisions, less rate of infection with better and rapid recovery, less blood loss and reduced post-surgical pain. For MIS robotic arm a flexible seven-degrees of freedom (7-DOF) electric motor mechanism is widely used. It consists of three components including a surgeon console which is used by surgeon to control the robotic arm, a patient cart which contains three to four arms controlled by the surgeon from the console and a vision cart. Among these arms, one is used to hold surgical instruments like scissor and the other one controls the 3-D camera. Vision cart shows the 3-dimensional stereoscopic displays to surgeon on the console. In this work, a parametric estimation based on fuzzy analysis was performed for 7-DOF surgical robots. The effect of movement of joysticks attachment with surgeon console is studied on angle of the robotic arm. The movement of the joystick will change the angle of the robotic arm which will result in the movement of the robotic arm towards and away from the patient. The simulated and the MAMDANI calculated results show a difference of 1.44% which shows the accuracy of the calculations.

Ghulam Muhiudin1, Syed Asad Ali Shah1, Maria Khan1, Maham Akhlaq1* and Faheem Qasim1

1 Department of Physics (Electronics), Government College University, Lahore.


Analysis of the Effect of N719 Dye Concentration and Anode Soaking Time on the Performance of DSSC Using Fuzzy Analysis


Dye sensitized solar cells has been considered as an alternate to silicon solar cell owning to their low cost and easy manufacturing. A dye-sensitized solar cell uses dye as a charge generation source. When light falls on the dye an electron hole pair is generated. Commonly used dye is Ruthenium (N719). The prepared anode (Usually metal oxide) is dipped in a solution of ruthenium dye and then the cell is stacked. Dye plays an important role in the overall efficiency of the cell. In this work, a parametric estimation using MATLAB Fuzzy analysis on the concentration of ruthenium dye and time for which the anode is dipped in the dye is analyzed and its effect on the overall power conversion efficiency of the cell is studied. The result depicts an increase in power conversion efficiency with increase in the concentration for dye. However, more time for anode dipping shows a reduction in efficiency which represent inverse relation between anode dipping time and performance of N719 dye. Less than 1% error between the simulation and calculated results of Fuzzy analysis shows the accuracy of the system.

Maham Akhlaq1* and Faheem Qasim1

1Department of Physics (Electronics), GC University Lahore.


Study of Thermal Deformation Analysis in Al-Steel and Cu-Steel Bimetal Composites by Ansys Static Structural


Bimetals are widely used in technology and industrial and fields due to bimetallic effect. In this work, the comparative analysis for thermal deformation between Aluminum-Steel and Copper-Steel bimetals is carried out by using ANSYS Static Structural. Both Aluminum-Steel and Copper-Steel are well-known bimetals and used in many fields of industry. When the temperature is increased, then the bimetals experience thermal bending due to difference in coefficient of thermal expansion between two materials. The bimetals used in this work comprise of two layers with same dimensions of 100×30 mm with thickness of 5mm. ANSYS is used to observe thermal deformation for a temperature range of 22-300 °C. Results shows linear trend between temperature and thermal deformation. At the temperature of 300 °C, Aluminum-Steel bimetal deform to 0.62 mm while Cu-Steel bimetal shows a thermal deformation of 0.36 mm. The results concluded that Aluminum-Steel bimetals show more thermal deformation than Copper-Steel bimetal at all temperature.

Muhammad Talha Khan1

1Department of Physics, Government Islamia College Civil Lines, Lahore, Pakistan.

10-05-2021 © 2021 | All Rights Reserved