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( Bilal Şeker ),( Sevtap Sümer Eker ),( Bilal Çekiç ) 호남수학회 2022 호남수학학술지 Vol.44 No.4
The purpose of the present paper is to obtain some sufficient conditions for analytic functions, whose coefficients are probabilities of the Miller-Ross type-Poisson distribution series, to belong to classes G(λ, δ) and K(λ, δ).
Hybrid Intrusion Detection Method to Increase Anomaly Detection by Using Data Mining Techniques
Bilal Ahmad,Wang Jian,Bilal Hassan 보안공학연구지원센터 2016 International Journal of Database Theory and Appli Vol.9 No.12
An Intrusion Detection System is an application which observes movements or action happen on the network and determine it for any kind of harmful activity that can disturb computer security policy. With progress of increase the usage rate of the internet, there is a widely increase in the number of internet attacks as well, so contests arise towards the network security due to the arrival of new approaches of attacks. To classify these attacks, a new hybrid method with the help of data mining based on decision tree C4.5 and Meta algorithm is planned. This method gives a classifier which expands the whole accuracy of detection. Many data mining techniques have been settled for detecting intrusion. For recognition of anomalies a hybrid technique based on decision tree C4.5 with Meta algorithm is offered that provides better accuracy and reduces the problem of high false alarm ratio. The assessment of the given approach is made with other data mining techniques. With this given approach detection rate is improved significantly. KDD Cup 1999 dataset use for experimental work.
Some Types of Slant Submanifolds of Bronze Reimannian Manifolds
Bilal Eftal ACET,Tuba ACET 한국수학교육학회 2022 純粹 및 應用數學 Vol.29 No.4
The aim of this article is to examine some types of slant submanifolds of bronze Riemannian manifolds. We introduce hemi-slant submanifolds of a bronze Riemannian manifold. We obtain integrability conditions for the distribution involved in quasi hemi-slant submanifold of a bronze Riemannian manifold. Also, we give some examples about this type submanifolds.
Enhancing Depth maps from Microsoft Kinect using multiple Sensors
Bilal Ahmed,In Yeop Jang,Jae Doug Yoo,Kwan H. Lee (사)한국CDE학회 2013 한국CAD/CAM학회 국제학술발표 논문집 Vol.2010 No.8
During recent years a new type of depth sensors was made available in the market known as Microsoft Kinect Sensor. Its active sensing technology is well suited for applications that may require higher frame rates. However, it can totally fail in situations where the subject absorbs or reflects the infrared pattern casted by the sensor i.e. specular or transparent and near or far away objects. Kinect depth output contains holes in areas where these objects exist. In this paper we formulate a framework to overcome this shortcoming. We utilized two Kinect sensors placed to have a different viewing angle in coordination with two Kinect RGB cameras forming a stereo pair. As Kinect provides information about unreliable depths, therefore enhancements were performed selectively only in those areas where necessary. In this way, two separately placed depth sensors are able to offer some enhancements due to their different viewing angles. In addition, we first align depth images and look for the areas that still require enhancements. Thus, those areas can be improved using stereo matching. Using adaptive algorithms for stereo matching provides us with faster possibilities to come up with a better depth map.
bilal shaker,Myung-Sang Yu,Jingyu Lee,Yongmin Lee,Chanjin Jung,Dokyun Na 한국미생물학회 2020 The journal of microbiology Vol.58 No.3
Due to accumulating protein structure information and advances in computational methodologies, it has now become possible to predict protein-compound interactions. In biology, the classic strategy for drug discovery has been to manually screen multiple compounds (small scale) to identify potential drug compounds. Recent strategies have utilized computational drug discovery methods that involve predicting target protein structures, identifying active sites, and finding potential inhibitor compounds at large scale. In this protocol article, we introduce an in silico drug discovery protocol. Since multi-drug resistance of pathogenic bacteria remains a challenging problem to address, UDP-N-acetylmuramate- L-alanine ligase (murC) of Acinetobacter baumannii was used as an example, which causes nosocomial infection in hospital setups and is responsible for high mortality worldwide. This protocol should help microbiologists to expand their knowledge and research scope.
A simple method for making large panoramic displays using multiple projectors
Bilal Ahmed,Yong Hwi Kim(김용휘),Kwan H. Lee(이관행) (사)한국CDE학회 2016 한국 CAD/CAM 학회 학술발표회 논문집 Vol.2016 No.동계
Making large panoramic displays using multiple projectors has been a topic of sheer interest since decades. Most of the proposed approaches are very complex to implement and the result is an extensive explanation of projector-camera relationships. We propose a simple approach for calibrating and rendering a seamless rectangular image on a planar surface. Our method is based on describing the projection on a planar surface as perspective projections and then describing the projector to projector relationships using homographs. We use a single fixed camera that automatically computes the relative pose between the projectors. We explain the automatic calibration of full system to achieve the perfect registration and color intensity blending at the overlapping areas of the projection. Our method does not need a pre-calibrated camera or projectors and can efficiently warp the images so they can be displayed appropriately. Once warping is done, image intensity blending is carried out efficiently using intensity varying masks. Our results show acceptable quality along the overlapping edge with providing high resolutions at interactive rates.
Nexus Between Inventory Volatility and Capital Investment: Evidence from Selected Asian Economies
Bilal Haider SUBHANI,Khurram ASHFAQ,Muhammad Asif KHAN,Natanya MEYER,Umar FAROOQ 한국유통과학회 2022 The Journal of Asian Finance, Economics and Busine Vol.9 No.1
The uncertainty regarding inventory may impart dynamic impacts on corporate-level financial decisions. Among others, a decision about capital investment is a crucial decision that requires overall financial stability. Following these theoretical notions, the current study aims to identify possible consequences of inventory volatility relating to corporate capital investment decisions. We employed ten years of data (2010–2019) of non-financial sector firms to achieve the objective. The Driscoll-Kraay model was used to quantify the regression. The statistical results imply that inventory volatility negatively influences capital investment decisions due to information asymmetry about the current financial position. Additionally, more volatility brings discrepancies in managers’ investing decisions to fulfill the possible demand options of capital investment that require processing the inventory. However, based upon the statistical findings, it is suggested to corporate managers that they should consider the financial sensitivity of enterprises regarding inventory volatility. Thus, the current study introduces new thoughts regarding inventory volatility and its empirical role in determining capital investment.