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Aniqa ARSLAN,Arslan QAYYUM,Sharique AYUBI,Sohail Ahmed KHAN,Muhammad ASAD ULLAH 한국유통과학회 2022 The Journal of Asian Finance, Economics and Busine Vol.9 No.3
To help the industry, outsourcing was found to be the most efficient method. An extensive literature analysis was done to assess the macroeconomic factors associated with outsourcing to supplement the anxious parties’ decision-making process with evidence-based comprehensive tools. As a theoretical framework for evaluating these issues, transaction cost economies and resource-based perspective theories are investigated. Outsourcing is proven to be a result of energy crises and political instability. The advantages of outsourcing assist major industries in the economy. To discover the key drivers behind outsourcing, we used the vector autoregressive (VAR model) and step-wise regression techniques for the period 1992 to 2016. This research adds to the literature in that it not only explains the energy issue but also discusses the dilemma of political instability in the country in the context of outsourcing. The findings indicate that labor cost and export tendency have a positive impact on outsourcing strategy, which confirms the study’s third and fourth hypotheses. Customs tax, inflation, and the unemployment rate, on the other hand, have a negative impact on textile outsourcing in Pakistan, according to the study’s fifth, sixth, and seventh hypotheses.
Cognitive UWB-OFDM: Pushing Ultra-Wideband Beyond Its Limit via Opportunistic Spectrum Usage
Arslan Huseyin,Sahin Mustafa E. The Korea Institute of Information and Commucation 2006 Journal of communications and networks Vol.8 No.2
In a continuously expanding wireless world, the number of radio systems increases every day and efficient spectrum usage becomes a more significant requirement. Ultra-wideband (UWB) and cognitive radio are two exciting technologies that offer new approaches to the spectrum usage. The main objective of this paper is to shed the first light on the marriage of these two important approaches. The strength of orthogonal frequency division multiplexing (OFDM) based UWB in co-existing with licensed systems is investigated. The opportunity concept is defined, and the requirements of the opportunistic spectrum usage are explained. It is proposed to take the UWB-OFDM from the current underlay implementation, and evolve it to a combined underlay and opportunistic spectrum usage technology, leading to cognitive UWB-OFDM. This way, we aim at making UWB more competitive in the wireless market with extended range, higher capacity, better performance, and a wide variety of applications.
Quality of Life and Chemotherapy-related Symptoms of Turkish Cancer Children Undergoing Chemotherapy
Arslan, Fatma Tas,Basbakkal, Zumrut,Kantar, Mehmet Asian Pacific Journal of Cancer Prevention 2013 Asian Pacific journal of cancer prevention Vol.14 No.3
This cross-sectional and descriptive study was designed to determine symptoms emerging due to chemotherapy treatment and their effects on children's quality of life. The research was carried out between February 2008 and February 2009 at the pediatric oncology clinics in four hospitals, focusing on 93 patients receiving chemotherapy. A survey form, the Pediatric Quality of Life Inventory (PedsQL 4.0) and the Memorial Symptom Assessment Scale (MSAS) were used as data collection tools. Chi-square and Student t tests were performed for data analysis. Some 51.6% of the children were aged 13-15 years old, and 51.8% were boys and 50.5% were diagnosed as having solid tumors. There were significant relations between: antimetabolite chemotherapeutics and feeling irritable and worrying (p=0.001, p=0.030); vinkoalkaloid and numbness/tingling in hands/feet (p=0.043); antracyclines and lack of energy and skin changes (p=0.021, p=0.004); and corticosteroids and lack of appetite, nausea and sadness (p=0.008, p=0.009, p=0.009). Several symptoms such as feeling sad, worrying and feeling irritable caused a significant decrease in the total domain of quality of life scores (p=0.034, p=0.012, p=0.010, respectively). Chemotherapeutic drugs can cause symptoms that can seriously affect quality of life in children.
An Overview of Mobile Edge Computing: Architecture, Technology and Direction
( Arslan Rasheed ),( Peter Han Joo Chong ),( Ivan Wang-hei Ho ),( Xue Jun Li ),( And William Liu ) 한국인터넷정보학회 2019 KSII Transactions on Internet and Information Syst Vol.13 No.10
Modern applications such as augmented reality, connected vehicles, video streaming and gaming have stringent requirements on latency, bandwidth and computation resources. The explosion in data generation by mobile devices has further exacerbated the situation. Mobile Edge Computing (MEC) is a recent addition to the edge computing paradigm that amalgamates the cloud computing capabilities with cellular communications. The concept of MEC is to relocate the cloud capabilities to the edge of the network for yielding ultra-low latency, high computation, high bandwidth, low burden on the core network, enhanced quality of experience (QoE), and efficient resource utilization. In this paper, we provide a comprehensive overview on different traits of MEC including its use cases, architecture, computation offloading, security, economic aspects, research challenges, and potential future directions.
Arslan, Mehmet E.,Durmus, Ahmet Techno-Press 2014 Structural Engineering and Mechanics, An Int'l Jou Vol.50 No.2
In this study, modal parameters such as natural frequencies, mode shapes and damping ratios of RC frames with low strength are determined for different construction stages using ambient vibration test. For this purpose full scaled, one bay and one story RC frames are produced and tested for plane, brick in-filled and brick in-filled with plaster conditions. Measurement time, frequency span and effective mode number are determined by considering similar studies and literature. To obtain experimental dynamic characteristics, Enhanced Frequency Domain Decomposition and Stochastic Subspace Identification techniques are used together. It is shown that the ambient vibration measurements are enough to identify the most significant modes of RC frames. The results indicate that modal parameters change significantly depending on the construction stages. In addition, Infill walls increase stiffness and change the mode shapes of the RC frame. There is a good agreement between mode shapes obtained from brick in-filled and in-filled with plaster conditions. However, some differences are seen in plane frame, like expected. Dynamic characteristics should be verified using finite element analysis. Finally, inconsistency between experimental and analytical dynamic characteristics should be minimize by finite element model updating using some uncertain parameters such as material properties, boundary condition and section properties to reflect the current behavior of the RC frames.
Evaluation of biogeneric design techniques with CEREC CAD/CAM system
Arslan, Yeliz,Nemli, Secil Karakoca,Gungor, Merve Bankoglu,Tamam, Evsen,Yilmaz, Handan The Korean Academy of Prosthodonitics 2015 The Journal of Advanced Prosthodontics Vol.7 No.6
PURPOSE. The aim of this study was to evaluate occlusal contacts generated by 3 different biogeneric design modes (individual (BI), copy (BC), reference (BR)) of CEREC software and to assess the designs subjectively. MATERIALS AND METHODS. Ten pairs of maxillary and mandibular casts were obtained from full dentate individuals. Gypsum cast contacts were quantified with articulating paper and digital impressions were taken. Then, all ceramic crown preparation was performed on the left first molar teeth and digital impressions of prepared teeth were made. BI, BC, and BR crowns were designed. Occlusal images of designs including occlusal contacts were superimposed on the gypsum cast images and corresponding contacts were determined. Three designs were evaluated by the students. RESULTS. The results of the study revealed that there was significant difference among the number of contacts of gypsum cast and digital models (P<.05). The comparison of the percentage of virtual contacts of three crown designs which were identical to the contacts of original gypsum cast revealed that BI and BR designs showed significantly higher percentages of identical contacts compared with BC design (P<.05). Subjective assessment revealed that students generally found BI designs and BR designs natural regarding naturalness of fissure morphology and cusp shape and cusp tip position. For general occlusal morphology, student groups generally found BI design "too strong" or "perfect", BC design "too weak", and BR design "perfect". CONCLUSION. On a prepared tooth, three different biogeneric design modes of a CAD/CAM software reveals different crown designs regarding occlusal contacts and morphology.
Prediction of force reduction factor (R) of prefabricated industrial buildings using neural networks
Arslan, M. Hakan,Ceylan, Murat,Kaltakci, Yaspr M.,Ozbay, Yuksel,Gulay, Fatma Gulten Techno-Press 2007 Structural Engineering and Mechanics, An Int'l Jou Vol.27 No.2
The force (load) reduction factor, R, which is one of the most important parameters in earthquake load calculation, is independent of the dimensions of the structure but is defined on the basis of the load bearing system of the structure as defined in earthquake codes. Significant damages and failures were experienced on prefabricated reinforced concrete structures during the last three major earthquakes in Turkey (Adana 1998, Kocaeli 1999, Duzce 1999) and the experts are still discussing the main reasons of those failures. Most of them agreed that they resulted mainly from the earthquake force reduction factor, R that is incorrectly selected during design processes, in addition to all other detailing errors. Thus this wide spread damages caused by the earthquake to prefabricated structures aroused suspicion about the correctness of the R coefficient recommended in the current Turkish Earthquake Codes (TEC - 98). In this study, an attempt was made for an approximate determination of R coefficient for widely utilized prefabricated structure types (single-floor single-span) with variable dimensions. According to the selecting variable dimensions, 140 sample frames were computed using pushover analysis. The force reduction factor R was calculated by load-displacement curves obtained pushover analysis for each frame. Then, formulated artificial neural network method was trained by using 107 of the 140 sample frames. For the training various algorithms were used. The method was applied and used for the prediction of the R rest 33 frames with about 92% accuracy. The paper also aims at proposing the authorities to change the R coefficient values predicted in TEC - 98 for prefabricated concrete structures.