Browsing by Subject "Cost"

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    Circuit partitioning using mean field annealing
    (Elsevier, 1995) Bultan, T.; Aykanat, Cevdet
    Mean field annealing (MFA) algorithm, proposed for solving combinatorial optimization problems, combines the characteristics of neural networks and simulated annealing. Previous works on MFA resulted with successful mapping of the algorithm to some classic optimization problems such as traveling salesperson problem, scheduling problem, knapsack problem and graph partitioning problem. In this paper, MFA is formulated for the circuit partitioning problem using the so called net-cut model. Hence, the deficiencies of using the graph representation for electrical circuits are avoided. An efficient implementation scheme, which decreases the complexity of the proposed algorithm by asymptotical factors is also developed. Comparative performance analysis of the proposed algorithm with two wellknown heuristics, simulated annealing and Kernighan-Lin, indicates that MFA is a successful alternative heuristic for the circuit partitioning problem. © 1995.
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    ItemOpen Access
    Cognitive and emotional representations of terror attacks: a cross-cultural exploration
    (Wiley-Blackwell Publishing, 2007) Shiloh, S.; Güvenç, G.; Önkal D.
    A questionnaire measuring cognitive and affective representations of terror risk was developed and tested in Turkey and Israel. Participants in the study were university students from the two countries (n = 351). Four equivalent factors explained terror risk cognitions in each sample: costs, vulnerability, trust, and control. A single negative emotionality factor explained the affective component of terror risk representations in both samples. All factors except control could be measured reliably. Results supported the validity of the questionnaire by showing expected associations between cognitions and emotions, as well as indicating gender differences and cultural variations. Current findings are discussed in relation to previous results, theoretical approaches, and practical implications.
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    Factors influencing outbound medical travel from the USA
    (Emerald Group Publishing, 2019) Collins, Ayşe; Medhekar, A.; Wong, H. Y.; Çobanoğlu, C.
    The purpose of this paper is to explore how Americans choose a country and medical facility to travel abroad for medical treatment based on the following factors country environment, tourism destination, medical tourismcosts andmedical facilities and services. Design/methodology/approach – Online survey with the help of Amazon Mechanical Turk website was used for data collection, and 541 valid cases were used of American residents who had travelled abroad formedical tourism. Exploratory and confirmatory factor analyses were undertaken to validate the scales. Findings – Findings indicated fourmajor factors that can influence American medical tourists’ choices of medical tourism destinations. These factors are overseas’ country factors, attractiveness of tourism destination, medical tourism costs and facilities and services. Both the convergent and discriminant validities for the constructs were established. The results of the measurement-model-fit based on various measures were within the suggested cut-off values. Research limitations/implications – Out of the 541 responses of post-travel experienced medical tourists, it is hard to tell how similar/dissimilar the participants are in terms of ranking the four factors. To be competitive to attract global medical tourists, research suggests that the five popular countries of treatment, India, China, Thailand, Mexico and Turkey, identified in this study should provide high quality of medical and tourismfacilities to patients. Originality/value – This study contributes to the understanding of the underlying factors, which influence American medical tourists’ choice of destinations, with validated scales. For this exploratory research, 25 new items together with 34 items from other studies were adapted.
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    Prefabrikasyonun Türkiye'deki tarihi ve gelişim süreci
    (Bilkent University, 2018) Çetin, İsmail Sümer; Borucu, Ümran; Turan, Fatma Zehra; Orak, Elif İpek; Kayaçağlayan, Atakan
    Bu araştırmada prefabrikasyonun Türkiye’de ortaya çıkması ve bunda etkili olan nedenler, ilk örnekleri, kullanımının ve üretiminin yaygınlaşması incelenmiştir. Bu süreç içerisindeki zorluklar, sosyal ve ekonomik katkıları ve prefabrik kullanımının yaygınlaşması amacıyla yürütülen etkinlikler üzerinde durulmuştur. Araştırma sürecinde yazılı ve sözlü bazı kaynaklara başvurulmuştur.
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    ItemOpen Access
    A producer survey on Turkish furniture industry
    (1996) Öğün, Emir Polat
    Turkish furniture industry has been growing steadily since the liberalization of Turkish economy in early 1980’s. However, the industry faces some technological and economical problems which affects the competitiveness of the firms in the global market. The major problems of the firms in the furniture sector is availability and quality of raw materials, and the productivity of labor. Turkish furniture manufacturers can be classified into two categories; small job-shops (workshops) and big firms. Small job-shops are scattered all over the country and their major market is domestic. Whereas big firms market their products domectically, and internationally. In this thesis we have investigasted Turkish furniture industry
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    Proposing new routing protocol based on chaos algorithm
    (Conscientia Beam, 2022-05-09) Majdi, Ali
    In MANET, the multicast routing is considered a non-deterministic polynomial (NP) complexity, it contains assorted objectives and restrictions. In the multicast issue of MANET, the quality of services (QoS) based upon cost, delay, jitter, bandwidth, are constantly deemed as multi-objective for directing multicast routing protocols (MR). Conversely, a mobile node has finite battery energy and the lifetime of a network depends on its mobile node battery energy. Here, the MR problem of MANET has five objectives vis-a-vis the optimization of cost, delay, jitter, bandwidth, and network lifetime with the help of Chaotic-CSA-ROA. Here, evaluation metrics, via delay, delivery ratio, drop, Network lifespan, overhead and throughput are analyzed with node, rate, and speed. The proposed QOS-MRP-CSROA-MANET provides higher throughput at the node between 32.9496% and 65.5839%, and higher throughput in rate as 16.6049% and 30.4654%, higher throughput in speed as 10.1298% and 7.0825%, low packet drop in node as 63.7313% and 52.2255%, low packet drop in rate as 51.5528% and 25.6220%, low packet drop in speed as 18.0857% and 24.5953% compared with existing methods, like QoS aware of multicast routing protocol using particle swarm optimization algorithm in MANET (QOS-MRP-PSOA-MANET) and QoS aware of multicast routing protocol using a genetic algorithm in MANET (QOS-MRP-GA-MANET) respectively.