100 research outputs found
Power Models for Semi-Autonomous RTL Macros
No full textMost power macromodels for RTL datapath modules are both data-dependent and activity-sensitive, that is, they model power in terms of some activity measure of the data inputs of the module. These models have proved to be quite accurate for most combinational RTL datapath macros (such as adders and multipliers), as well as for storage units (such as registers). They tend to become inadequate for RTL modules that are control-dominated, that is, having a set of control inputs that exercise different operational behaviors. Furthermore, some of these behaviors may be input-insensitive, that is, they let the module evolve (and thus consume power) in a semi-autonomous way, independently of the input activity. We propose a procedure for the construction of ad-hoc power models for semi-autonomous RTL macros. Our approach is based on the analysis of the functional effect of such control inputs on specific macros. Although the resulting models are tailored to individual macros, the model construction procedure keeps the desirable property of being automatic
Parameterized RTL Power Models for Combinational Soft Macros
No full textWe propose a new RTL power macromodel that is suitable for re-configurable, synthesizable soft-macros. The model is parameterized with respect to the input data size (i.e., bit-width), and can be automatically scaled with respect to different technology libraries and/or synthesis options. Scalability is obtained through a single additional characterization run, and does not require the disclosure of any intellectual property. The model is derived from empirical analysis of the sensitivity of power on input statistics, input data size and technology. The experiments prove that, with limited approximation, it is possible to de-couple the effects on power of these three factors. The proposed solution is innovative, since no previous macromodel supports automatic technology scaling, and yields estimation errors within 15
VirtualSense alpha: Open-Hardware Ultra-Low-Power Wireless Sensor Node
No full textThe availability of off-the-shelf micro controller units based on energy efficient 16-bit RISC
processors which provide a wide range of low-power inactive modes with average current in
the range of micro Watts and wake-up times in the range of micro seconds makes it possible
to develop ultra-low-power sensor nodes able to run a virtual machine to speedup the
development and the deployment of sensing/monitoring applications. VirtualSense is an
open-hardware/open-source project which aims at the development of IEEE 802.15.4-
compliant low-cost ultra-low-power wireless sensor nodes providing a Java-compatible
runtime environment which grants to the programmer full control of the low-power states of
the hardware. This white paper presents the hardware architecture of the alpha release of
VirtualSense, based on a Texas Instruments MSP430F54xxa microcontroller unit
Tromboflebite acuta del plesso pampiniforme. Caso clinico e considerazioni diagnostico-terapeutiche
No full textA decidedly rare case of thrombophlebitis of left pampiniform plexus, causing acute development of a painful scroto-inguinal mass in a 28-year-old man with varicocele, is presented. The etiology of the disease remains obscure. A relationship to some unsuspected or indirect trauma or increased pressure in the pampiniform plexus has been postulated. Clinical features and difficulties in the differential diagnosis of other conditions producing acute cord enlargements are discussed with review of the literature. The diagnosis can be made preoperatively and condition can well be managed conservatively by antiphlogistic therapy. Oxerutina [O-(P-idrossietil)-rutosidea] has been used effectively and without adverse effects to control clinical signs and symptoms associated with thrombophlebitis of spermatic plexus. Surgical treatment of the varicocele, which may be a predisposing disease, is suggested after remission of inflammatory state to avoid relapses
RTL Estimation of Steering Logic Power
No full textPower dissipation due to the steering logic, that is, the multiplexer network and the interconnect, can usually account for a significant fraction of the total power budget. In this work, we present RTL power models for these two types of architectural elements. The multiplexer model leverages existing scalable models, and can be used for special complex types with re-configurable numbers of data bits and ways. The interconnect model is obtained by empirically relating capacitance to circuit area, that is either estimated by means of statistical models or extracted from back-annotation information available at the gate level
SELF-ORIENTED EMPATHY AND PERSONALITY ORGANISATION LEVEL: INSIGHTS FROM A PSYCHIATRIC SAMPLE
No full textObjective
Empathy functioning is among the criteria to delineate psychiatric diagnosis. However, the self-oriented empathy dimension is almost neglected in the existing literature. On the basis of previous fragmented contributions, we hypothesised that an individual’s level of personality organisation is explained by this facet of empathy more than the other components of empathy, both transversally and independently from the specific psychiatric diagnosis.
Method
Fifty-nine psychiatric inpatients were evaluated with clinical interviews inspired by the Structured Clinical Interview for DSM-5, completed the Symptom Checklist-90-Revised, and Interpersonal Reactivity Index (IRI). A panel of experts established each patient’s psychiatric diagnosis and the level of personality organisation according to DSM-5 and PDM-2. Thirty-two patients were considered functioning at a psychotic level, 27 at a borderline level, and none at a neurotic level. Multinomial models were compared with the corrected AIC to determine if self-oriented empathy, among all IRI subscales, was the best-fitting model for explaining the levels of personality organisation. A further analogue series of models was used to investigate the best IRI subscale to explain each patient’s psychiatric diagnosis.
Results
The first series of models revealed self-oriented empathy (IRI personal distress subscale) as the best empathic dimension to explain levels of personality organisation. The second series revealed that none of the four IRI subscales explained psychiatric diagnoses.
Conclusions
The consistency of our findings with evolutionary concepts pertaining to both traditional psychodynamic models and contemporary models of psychopathology, such as the p factor theory, was illustrated. Despite the many limitations of our consecutive sampling jeopardising the findings’ generalisability, the insight of self-oriented empathy as the best predictor of the level of personality organisation, irrespective of psychiatric diagnosis, has several implications from both research and clinical/diagnostic perspectives
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