Who Realizes a PSS?: An Organizational Framework for PSS Development

AbstractIn manufacturing, Product-Service Systems (PSS) that create value by coupling a physical product and a service have been attracting attention. According to this background, many researchers have proposed PSS development methods that provide guidance on HOW TO realize a PSS. However, difficulties still remain with regard to constructing an organization for PSS development; i.e., answering the question, WHO realizes a PSS? In order to clarify problems with regard to constructing the organization, this paper proposes an organizational framework for PSS development. Based on this framework, this paper points outsome research challenges with regard to constructing the organization for PSS development, and then, introducing the PSS development methods that can address these challenges

鈴鹿国際大学メールサーバの構築 SPAMメールの対応とWebメールシステムの導入

In this paper the process of building a university mail server using Linux operating system, spam filtering and a Webmail system is introduced. The hardware and specifications of the operating system are described

コンピュータセキュリティ

コンピュータがインターネットに常時接続されている状態が標準になった現在、そのセキュリティ対策は必須である。しかしそれ以外にも考慮することは数多くあり、対策しておかなければ思わぬトラブルに陥ることがある。また、ハードウェア、ソフトウェアとしての原因だけではなく人的要因も原因となりうる。ここでは、コンピュータのセキュリティというものに対して、どのようなことに注意する必要があるのか、どのような対策をすべきなのかを考察する

インターネット リテラシー

インターネットが一般家庭に普及して久しい。近年ではスマートフォンやタブレットの普及により、さらにインターネットの利用が進んでいる。これまでパソコンが苦手だった人々も簡単にインターネットを利用できるようになり、また利用者の低年齢化も進んでいる。これにより様々な問題も浮上している。そこで、一般的にインターネットを利用する場合に考えられる様々な事象や解決法について、インターネットリテラシーと定義されるインターネットを利用する際に必要な知識を考える。また教育の場面ではどのようなことを中心に指導するかということについても考察する

Silicon Epitaxial Reactor for Minimal Fab

Cost-effective and mass production of size-controlled wafers becomes one of the future trends for electronic devices. Herein, we design a Minimal Fab system for the growth of half-inch-diameter silicon wafer devices. Different from the conventional chemical vapour deposition (CVD) systems, a new-type of CVD reactor was designed and developed for the Minimal Fab. The minimal CVD reactor has a small reaction chamber for rapid growth processes. It employed (i) a vertical gas flow, (ii) heating modules using concentrated infrared light, (iii) chlorine trifluoride gas for quick reactor cleaning and (iv) optimized epitaxial growth conditions so that the reactor cleaning is not necessary. Reducing the total gas flow rate is an effective way to increase the wafer temperature. The heating process was further assisted by the absorption of infrared light by the precursor trichlorosilane. The slimly designed reflector could help in improving the heating speed

Serum and Urinary Type IV Collagen Concentrations in the Assessment of Diabetic Microangiopathy

We investigated the role of measurement of serum and urinary type IV collagen (IV-C) levels in monitoring diabetic microangiopathy. Furthermore, we compared these levels in diabetic nephropathy and non-diabetic renal disease (NDRD). A one-step sandwich enzyme immunoassay was used to measure IV-C levels in 82 diabetic patients, 33 NDRD patients and 20 healthy non-diabetic control subjects. The diabetic patients were classified into four groups according to urinary albumin I creatinine index CACI) (mg/g) and serum creatinine (s-Cr) (mg/dl) : normoalbuminuria (ACI300, s-Crl.99 mg/dl). Serum and urinary IV-C levels were significantly elevated even in diabetic patients without clinical evidence of microangiopathy compared with control subjects (p<0.05 and p<0.01, respectively). Both levels were significantly higher in normoalbuminuric patients than in the control subjects, and in patients with microalbuminuria, albuminuria or renal insufficiency than in normoalbuminuric patients, with significant differences between these groups (serum and urinary IV-C, both p<0.0001 by ANOVA). Urinary IV-C and albumin levels were significantly correlated, even in normo- and microalbuminuric patients (r = 0.55, p<0.0001). Serum IV-C in normoalbuminuric patients rose significantly as the degree of retinopathy progressed from background to proliferative stages (p<0.05). Neither serum nor urinary IV-C levels were influenced by glycemic control. Albuminuric diabetic patients (with and without renal insufficiency) had significantly higher levels of serum IV-C compared with those in proteinuric NDRD patients (p<0.005), though there was no significant difference in the urinary IV-C level. However, the urinary IV-CI albumin ratio was significantly higher in albuminuric diabetic patients than in proteinuric NDRD patients, even after adjusting for s-Cr and creatinine clearance (p<0.0001). In conclusion, we suggest that measured serum and urinary IV-C concentrations may serve as new markers for monitoring the development and progression of diabetic microangiopathy, particularly nephropathy. Furthermore, the measurement of serum IV-C concentrations and urinary IV-CI albumin ratios in diabetic patients may allow diabetic nephropathy and non-diabetic renal disease to be differentiated.A part of this work was presented at the 36th annual meeting of the Japan Diabetes Society (Sendai, Japan, May 13-15, 1993), and another part has been accepted for presentation at the 15th International Diabetes Federation Congress (Kobe, Japan, November 6-11, 1994)

Deep Neural Networks for Dental Implant System Classification

In this study, we used panoramic X-ray images to classify and clarify the accuracy of different dental implant brands via deep convolutional neural networks (CNNs) with transfer-learning strategies. For objective labeling, 8859 implant images of 11 implant systems were used from digital panoramic radiographs obtained from patients who underwent dental implant treatment at Kagawa Prefectural Central Hospital, Japan, between 2005 and 2019. Five deep CNN models (specifically, a basic CNN with three convolutional layers, VGG16 and VGG19 transfer-learning models, and finely tuned VGG16 and VGG19) were evaluated for implant classification. Among the five models, the finely tuned VGG16 model exhibited the highest implant classification performance. The finely tuned VGG19 was second best, followed by the normal transfer-learning VGG16. We confirmed that the finely tuned VGG16 and VGG19 CNNs could accurately classify dental implant systems from 11 types of panoramic X-ray images