Finite-Time Set Reachability of Probabilistic Boolean Multiplex Control Networks

This study focuses on the finite-time set reachability of probabilistic Boolean multiplex control networks (PBMCNs). Firstly, based on the state transfer graph (STG) reconstruction technique, the PBMCNs are extended to random logic dynamical systems. Then, a necessary and sufficient condition for the finite-time set reachability of PBMCNs is obtained. Finally, the obtained results are effectively illustrated by an example.

Pengembangan Absensi berbasis Mobile Aplikasi pada Badan Kepegawaian dan Pengembangan Sumber Daya Manusia Kabupaten Bone

Semenjak penetapan status sebagai Pandemi global oleh badan kesehatan dunia (WHO), wabah Corona Virus Disease (Covid-19) sudah menjadi momok di seluruh penjuru dunia. Berbagai standar prosedur penaggulangan penularan telah ditetapkan oleh WHO untuk memutus mata rantai penularan. Pemerintah kabupaten Bone melalui surat edaran Sekretaris Daerah No. 800/1919/VI/BKPSDM/2020 tanggal 4 Juni 2020 perihal sistem kerja Pegawai Aparatur Sipil Negara (ASN) dalam tatanan normal baru, mengatur kehadiran pegawai menggunakan absensi secara manual dan tidak menggunakan mesin absensi sidik jari. Hal ini tentunya akan berpengaruh pada pencatatan kinerja tiap ASN, dimana data absensi sudah terhubung dengan aplikasi e-kinerja yang sudah diterapkan pada lingkup kabupaten Bone. Tujuan dari penelitian ini adalah pembuatan aplikasi absensi online berbasis mobile Android untuk menjadi alternatif cara absen dengan memanfaatkan web service menggunakan metode komunikasi data Representational State Transfer (Rest) serta memanfaatkan protocol HTTP menggunakan format JavaScript Object Notation (JSon) dan bahasa pemrograman Java sebagai bahasa pemrograman aplikasi berbasis mobile. Hasil dari penelitian ini berupa aplikasi absensi berbasis mobile yang telah dilakukan pengujian performa web service menggunakan Aplikasi Apache JMETER untuk memastikan aplikasi ini sudah siap digunakan secara bersamaan oleh banyak ASN.

Strategy of state transfer for open quantum systems by no-knowledge feedback control: Via reverse engineering

It has long been interest to control the transfer of population between specified quantum states and protect the coherence of the system at the same time. In this paper, we investigate a scheme to improve the strategy of state transfer for open quantum systems using no-knowledge measurement-based feedback control and reverse engineering. In order to ensure that the system can process information effectively, we first design the control pulse in advance from the perspective of population and coherence and then verify it through numerical simulations. The research results show that, based on the designed control pulse, we can indeed drive the system from any initial state to the desired target state, and the coherence of the system can be effectively protected during the state transition.

Remaining Useful Life Prediction of Quay Crane Hoist Gearbox Bearing under Dynamic Operating Conditions Based on ARIMA-CAPF Framework

The remaining useful life (RUL) prediction of quay crane (QC) bearings is of great significance to port production safety. An RUL prediction framework of QC bearing under dynamic conditions is proposed. Firstly, the load is discretized, and the corresponding operating conditions are classified. Then, the Autoregressive Integrated Moving Average (ARIMA) model is utilized to predict the load and corresponding operating conditions. Secondly, a Wiener process considering degradation rates and jump coefficients under different operating conditions is developed as the state transfer function. Finally, a condition-activated particle filter (CAPF) is proposed to predict the system state and the bearing’s RUL. The proposed prediction framework is verified by the hoist bearing life cycle data from a port in Shanghai collected by the NetCMAS system. The prediction results by the ARIMA-CAPF framework in comparison with three other prediction strategies identify the effectiveness.

Pengamanan Internet of Things Berbasis NodeMCU Menggunakan Algoritma AES Pada Arsitektur Web Service REST

Data confidentiality and resource's limitation issues are challenges for the Internet of Things. To implement good security on IoT systems, cryptography can do it, but it needs an effective encryption algorithm that does not require a lot of resources. The purpose of this study is to secure an IoT system by implementing an algorithm that is successful in maintaining the confidentiality of data transmitted. This research uses an experimental approach, by creating an IoT system for agriculture and adding an encryption algorithm. The IoT system uses NodeMCU as a microcontroller. NodeMCU is a microcontroller with small resources so it needs an efficient algorithm to be implemented in it. One algorithm that has good performance in a desktop computing environment is the Advance Encryption Standard (AES) algorithm. The algorithm is tested in an IoT computing environment with a data exchange architecture using an REST (Representational State Transfer) web service, resulting in an IoT system for agriculture with cryptographic implementations in it. In the tests carried out, the encryption process of 128 and 256 bits of plain text took 266.31 and 274.31 microseconds, while the memory used was 16% and 17% of the total memory, respectively. This shows the encryption time is fast, and the memory usage is relatively small.