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Adeel Ikram,Nadeem Ahmad Mufti1,Muhammad Qaiser Saleem,Ahmed Raza Khan 대한기계학회 2013 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.27 No.7
This paper reports the effect and optimization of eight control factors on material removal rate (MRR), surface roughness and kerf in wire electrical discharge machining (WEDM) process for tool steel D2. The experimentation is performed under different cutting conditions of wire feed velocity, dielectric pressure, pulse on-time, pulse off-time, open voltage, wire tension and servo voltage by varying the material thickness. Taguchi’s L18 orthogonal array is employed for experimental design. Analysis of variance (ANOVA) and signal-tonoise (S/N) ratio are used as statistical analyses to identify the significant control factors and to achieve optimum levels respectively. Additionally, linear regression and additive models are developed for surface roughness, kerf and material removal rate (MRR). Results of the confirmatory experiments are found to be in good agreement with those predicted. It has been found that pulse on-time is the most significant factor affecting the surface roughness, kerf and material removal rate.
Investigation of Cutting Parameters Effect for Minimization of Surface Roughness in Internal Turning
Muhammad Munawar,Joseph Ching-Shihn Chen,Nadeem Ahmad Mufti1 한국정밀공학회 2011 International Journal of Precision Engineering and Vol. No.
Minimizing the surface roughness is one of the primary objectives in most of the machining operations in general and in internal turning in particular. Poor control on the cutting parameters due to long boring bar generates non conforming parts which results in increase in cost and loss of productivity due to rework or scrap. In this study, the Taguchi method is used to minimize the surface roughness by investigating the rake angle effect on surface roughness in boring performed on a CNC lathe. The control parameters included besides tool rake angle were insert nose radius, cutting speed, depth of cut, and feedrate. Slight tool wear was included as a noise factor. Based on Taguchi Orthogonal Array L18, a series of experiments were designed and performed on AISI 1018 steel. Analysis of variance, ANOVA, was employed to identify the significant factors affecting the surface roughness and S/N ratio was used to find the optimal cutting combination of the parameters. It was concluded that tool with a high positive rake angle and smaller insert nose radius produced lower surface roughness value in an internal turning operation. It was also concluded that high feedrate and low cutting speed has produced the lowest surface roughness.
Krishna Amuluru,Fawaz Al-Mufti,Daniel H. Sahlein,John Scott,Andrew Denardo 대한신경중재치료의학회 2021 Neurointervention Vol.16 No.3
The Woven EndoBridge (WEB) is an intrasaccular flow-disrupting device for the treatment of wide-necked saccular cerebral aneurysms. As with any neuroendovascular device, complications in the form of malpositioning and migration must be managed quickly and safely. Few studies have reported complication management techniques in instances of dislocated or migrated WEB devices. We retrospectively describe a case of a malpositioned WEB device that was successfully adjusted with the use of a gooseneck snare. Multiple other intra-procedural bailout strategies for management of WEB malposition and migration were considered, and are herein discussed. Operators should be aware of the causes of WEB malposition and a variety of bailout strategies.
A Step towards the Improvement in the Performance of Text Classification
( Shahid Hussain ),( Muhammad Rafiq Mufti ),( Muhammad Khalid Sohail ),( Humaira Afzal ),( Ghufran Ahmad ),( Arif Ali Khan ) 한국인터넷정보학회 2019 KSII Transactions on Internet and Information Syst Vol.13 No.4
The performance of text classification is highly related to the feature selection methods. Usually, two tasks are performed when a feature selection method is applied to construct a feature set; 1) assign score to each feature and 2) select the top-N features. The selection of top-N features in the existing filter-based feature selection methods is biased by their discriminative power and the empirical process which is followed to determine the value of N. In order to improve the text classification performance by presenting a more illustrative feature set, we present an approach via a potent representation learning technique, namely DBN (Deep Belief Network). This algorithm learns via the semantic illustration of documents and uses feature vectors for their formulation. The nodes, iteration, and a number of hidden layers are the main parameters of DBN, which can tune to improve the classifier’s performance. The results of experiments indicate the effectiveness of the proposed method to increase the classification performance and aid developers to make effective decisions in certain domains.
Tobing, Maringan Diapari Lumban,Sahiratmadja, Edhyana,Dinda, Mufti,Hernowo, Bethy Suryawathy,Susanto, Herman Asian Pacific Journal of Cancer Prevention 2014 Asian Pacific journal of cancer prevention Vol.15 No.14
Background: As in other developing countries, cervical cancer is the most frequent gynecologic malignancy in Indonesia. Persistent high risk genotypes of human papillomavirus (HPV) that infect the cervical tissue have been established as the etiology of cervical cancer. This study aimed to explore the profile of cervical cancer patients and the infected HPV genotypes at Dr. Hasan Sadikin General Hospital-Bandung. Materials and Methods: During the year 2010, 554 cervical cancer patients were registered. In a subset of the patients during July - November 2010, 40 randomized fresh biopsies were tested for HPV genotype after obtained informed consent. The distribution of HPV genotypes and the association to risk factors were analysed. Results: The result showed that 62.5% of the tested biopsies were infected by multiple HPV infections, with HPV-16 found in most of the cervical cancer patients (90%). Marriage at age younger than 16 years old was statistically significant in relation to multiple HPV infection (p=0.003), but not parity more than three times (p=0.59). Conclusions: Although high paritiy in our study was not associated with multiple HPV infection, good family planning programs and reproductive health education need to be emphasized in Indonesia as high parity and marriage at young age might increase the chance of cervical cancer development.
Atif Naveed Khan,Pervaiz Akhter,Gussan Maaz Mufti 보안공학연구지원센터 2016 International Journal of Smart Home Vol.10 No.5
Pakistan is an energy deficient country and the current power crisis of Pakistan is hampering its economic development. Pakistan is naturally benefitted with different renewable energy resources; out of which solar and wind energy are the main highlights. This research work will provide an assessment of the renewable energy potential of the Baluchistan region. A comparison of the economic and financial analysis for a centralized hybrid renewable energy system has been simulated by using Homer software. Three cases have been proposed in which centralized standalone solar PV system, centralized standalone wind energy system and a hybrid combination of both centralized standalone solar and wind energy system have been studied. Homer software has been used to devise the most optimal solution. The simulations confirm that the best optimal solution is the hybrid renewable energy system for the rural electrification of the proposed region.
Tauseef Akbar,Dr. Amjad Ullah Gussan Maaz Mufti,Numan Khurshid 보안공학연구지원센터 2015 International Journal of Smart Home Vol.9 No.8
Pakistan is facing energy crisis from last decade in spite having huge potential of solar energy. This research work will provide an assessment of the solar potential of Khyber Pakhtunkhwa (K.P.K) region. A comparison of the economic and financial analysis(Net Present Value, Internal Rate of Return, Payback period, and simple payback period) for a stand-alone PV systems for different regions of K.P.K have been done by simulating the solar systems on RET Screen. RET Screen has also been used for studying the effects of slope, latitude, orientation and geographical conditions of the selected six sites of K.P.K. Also, environmental effects such as Greenhouse gas (GHG) emission have been calculated and finally an optimum location for the installation of the solar panels has been proposed based on the results of the RET Screen.